program(1.0)
[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3520.4.1"}, {"coremlc-version", "3520.5.1"}, {"coremltools-component-torch", "2.12.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
{
    func main<ios17>(tensor<fp32, [1, 256]> padding_mask, tensor<int32, [1, 256]> tokens) {
            tensor<int32, []> x_1_batch_dims_0 = const()[name = tensor<string, []>("x_1_batch_dims_0"), val = tensor<int32, []>(0)];
            tensor<bool, []> x_1_validate_indices_0 = const()[name = tensor<string, []>("x_1_validate_indices_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [360, 192]> embed_weight_to_fp16 = const()[name = tensor<string, []>("embed_weight_to_fp16"), val = tensor<fp16, [360, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64)))];
            tensor<string, []> tokens_to_int16_dtype_0 = const()[name = tensor<string, []>("tokens_to_int16_dtype_0"), val = tensor<string, []>("int16")];
            tensor<string, []> cast_57_dtype_0 = const()[name = tensor<string, []>("cast_57_dtype_0"), val = tensor<string, []>("int32")];
            tensor<int32, []> greater_equal_0_y_0 = const()[name = tensor<string, []>("greater_equal_0_y_0"), val = tensor<int32, []>(0)];
            tensor<int16, [1, 256]> tokens_to_int16 = cast(dtype = tokens_to_int16_dtype_0, x = tokens)[name = tensor<string, []>("cast_62")];
            tensor<int32, [1, 256]> cast_57 = cast(dtype = cast_57_dtype_0, x = tokens_to_int16)[name = tensor<string, []>("cast_61")];
            tensor<bool, [1, 256]> greater_equal_0 = greater_equal(x = cast_57, y = greater_equal_0_y_0)[name = tensor<string, []>("greater_equal_0")];
            tensor<int32, []> slice_by_index_0 = const()[name = tensor<string, []>("slice_by_index_0"), val = tensor<int32, []>(360)];
            tensor<int32, [1, 256]> add_0 = add(x = cast_57, y = slice_by_index_0)[name = tensor<string, []>("add_0")];
            tensor<int32, [1, 256]> select_0 = select(a = cast_57, b = add_0, cond = greater_equal_0)[name = tensor<string, []>("select_0")];
            tensor<int32, []> x_1_cast_fp16_cast_uint16_axis_0 = const()[name = tensor<string, []>("x_1_cast_fp16_cast_uint16_axis_0"), val = tensor<int32, []>(0)];
            tensor<string, []> select_0_to_int16_dtype_0 = const()[name = tensor<string, []>("select_0_to_int16_dtype_0"), val = tensor<string, []>("int16")];
            tensor<int16, [1, 256]> select_0_to_int16 = cast(dtype = select_0_to_int16_dtype_0, x = select_0)[name = tensor<string, []>("cast_60")];
            tensor<fp16, [1, 256, 192]> x_1_cast_fp16_cast_uint16_cast_uint16 = gather(axis = x_1_cast_fp16_cast_uint16_axis_0, batch_dims = x_1_batch_dims_0, indices = select_0_to_int16, validate_indices = x_1_validate_indices_0, x = embed_weight_to_fp16)[name = tensor<string, []>("x_1_cast_fp16_cast_uint16_cast_uint16")];
            tensor<string, []> padding_mask_to_fp16_dtype_0 = const()[name = tensor<string, []>("padding_mask_to_fp16_dtype_0"), val = tensor<string, []>("fp16")];
            tensor<fp16, []> var_9_to_fp16 = const()[name = tensor<string, []>("op_9_to_fp16"), val = tensor<fp16, []>(0x1p-1)];
            tensor<fp16, [1, 256]> padding_mask_to_fp16 = cast(dtype = padding_mask_to_fp16_dtype_0, x = padding_mask)[name = tensor<string, []>("cast_59")];
            tensor<bool, [1, 256]> key_padding_mask_cast_fp16 = greater(x = padding_mask_to_fp16, y = var_9_to_fp16)[name = tensor<string, []>("key_padding_mask_cast_fp16")];
            tensor<int32, []> var_24 = const()[name = tensor<string, []>("op_24"), val = tensor<int32, []>(-1)];
            tensor<int32, []> var_31 = const()[name = tensor<string, []>("op_31"), val = tensor<int32, []>(1)];
            tensor<int32, [3]> var_36 = const()[name = tensor<string, []>("op_36"), val = tensor<int32, [3]>([1, 0, 2])];
            tensor<fp16, [192, 192]> text_encoder_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_in_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(138368)))];
            tensor<fp16, [192]> text_encoder_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_in_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(212160)))];
            tensor<fp16, [256, 1, 192]> input_1_cast_fp16 = transpose(perm = var_36, x = x_1_cast_fp16_cast_uint16_cast_uint16)[name = tensor<string, []>("transpose_77")];
            tensor<fp16, [256, 1, 192]> linear_0_cast_fp16 = linear(bias = text_encoder_in_proj_bias_to_fp16, weight = text_encoder_in_proj_weight_to_fp16, x = input_1_cast_fp16)[name = tensor<string, []>("linear_0_cast_fp16")];
            tensor<fp16, [272, 192]> text_encoder_encoders_0_layers_0_self_attn_weights_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn_weights_in_proj_weight_to_fp16"), val = tensor<fp16, [272, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(212608)))];
            tensor<fp16, [272]> text_encoder_encoders_0_layers_0_self_attn_weights_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn_weights_in_proj_bias_to_fp16"), val = tensor<fp16, [272]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(317120)))];
            tensor<fp16, [256, 1, 272]> linear_1_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_self_attn_weights_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_self_attn_weights_in_proj_weight_to_fp16, x = linear_0_cast_fp16)[name = tensor<string, []>("linear_1_cast_fp16")];
            tensor<int32, [3]> q_1_begin_0 = const()[name = tensor<string, []>("q_1_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> q_1_end_0 = const()[name = tensor<string, []>("q_1_end_0"), val = tensor<int32, [3]>([256, 1, 128])];
            tensor<bool, [3]> q_1_end_mask_0 = const()[name = tensor<string, []>("q_1_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> q_1_cast_fp16 = slice_by_index(begin = q_1_begin_0, end = q_1_end_0, end_mask = q_1_end_mask_0, x = linear_1_cast_fp16)[name = tensor<string, []>("q_1_cast_fp16")];
            tensor<int32, [3]> k_1_begin_0 = const()[name = tensor<string, []>("k_1_begin_0"), val = tensor<int32, [3]>([0, 0, 128])];
            tensor<int32, [3]> k_1_end_0 = const()[name = tensor<string, []>("k_1_end_0"), val = tensor<int32, [3]>([256, 1, 256])];
            tensor<bool, [3]> k_1_end_mask_0 = const()[name = tensor<string, []>("k_1_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> k_1_cast_fp16 = slice_by_index(begin = k_1_begin_0, end = k_1_end_0, end_mask = k_1_end_mask_0, x = linear_1_cast_fp16)[name = tensor<string, []>("k_1_cast_fp16")];
            tensor<int32, [3]> p_1_begin_0 = const()[name = tensor<string, []>("p_1_begin_0"), val = tensor<int32, [3]>([0, 0, 256])];
            tensor<int32, [3]> p_1_end_0 = const()[name = tensor<string, []>("p_1_end_0"), val = tensor<int32, [3]>([256, 1, 272])];
            tensor<bool, [3]> p_1_end_mask_0 = const()[name = tensor<string, []>("p_1_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [256, 1, 16]> p_1_cast_fp16 = slice_by_index(begin = p_1_begin_0, end = p_1_end_0, end_mask = p_1_end_mask_0, x = linear_1_cast_fp16)[name = tensor<string, []>("p_1_cast_fp16")];
            tensor<int32, [4]> var_74 = const()[name = tensor<string, []>("op_74"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> q_3_cast_fp16 = reshape(shape = var_74, x = q_1_cast_fp16)[name = tensor<string, []>("q_3_cast_fp16")];
            tensor<int32, [4]> var_76 = const()[name = tensor<string, []>("op_76"), val = tensor<int32, [4]>([256, 1, 4, 4])];
            tensor<fp16, [256, 1, 4, 4]> p_3_cast_fp16 = reshape(shape = var_76, x = p_1_cast_fp16)[name = tensor<string, []>("p_3_cast_fp16")];
            tensor<int32, [4]> var_78 = const()[name = tensor<string, []>("op_78"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> k_3_cast_fp16 = reshape(shape = var_78, x = k_1_cast_fp16)[name = tensor<string, []>("k_3_cast_fp16")];
            tensor<int32, [4]> var_82 = const()[name = tensor<string, []>("op_82"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> attn_scores_1_transpose_x_0 = const()[name = tensor<string, []>("attn_scores_1_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> attn_scores_1_transpose_y_0 = const()[name = tensor<string, []>("attn_scores_1_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<int32, [4]> transpose_16_perm_0 = const()[name = tensor<string, []>("transpose_16_perm_0"), val = tensor<int32, [4]>([2, 1, -4, -1])];
            tensor<int32, [4]> transpose_17_perm_0 = const()[name = tensor<string, []>("transpose_17_perm_0"), val = tensor<int32, [4]>([2, 1, -1, -4])];
            tensor<fp16, [4, 1, 32, 256]> transpose_17 = transpose(perm = transpose_17_perm_0, x = k_3_cast_fp16)[name = tensor<string, []>("transpose_74")];
            tensor<fp16, [4, 1, 256, 32]> transpose_16 = transpose(perm = transpose_16_perm_0, x = q_3_cast_fp16)[name = tensor<string, []>("transpose_75")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_1_cast_fp16 = matmul(transpose_x = attn_scores_1_transpose_x_0, transpose_y = attn_scores_1_transpose_y_0, x = transpose_16, y = transpose_17)[name = tensor<string, []>("attn_scores_1_cast_fp16")];
            tensor<bool, []> pos_scores_1_transpose_x_0 = const()[name = tensor<string, []>("pos_scores_1_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> pos_scores_1_transpose_y_0 = const()[name = tensor<string, []>("pos_scores_1_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 4, 511]> pos_emb_3_to_fp16 = const()[name = tensor<string, []>("pos_emb_3_to_fp16"), val = tensor<fp16, [4, 1, 4, 511]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(317760)))];
            tensor<fp16, [4, 1, 256, 4]> p_5_cast_fp16 = transpose(perm = var_82, x = p_3_cast_fp16)[name = tensor<string, []>("transpose_76")];
            tensor<fp16, [4, 1, 256, 511]> pos_scores_1_cast_fp16 = matmul(transpose_x = pos_scores_1_transpose_x_0, transpose_y = pos_scores_1_transpose_y_0, x = p_5_cast_fp16, y = pos_emb_3_to_fp16)[name = tensor<string, []>("pos_scores_1_cast_fp16")];
            tensor<int32, [2]> var_117 = const()[name = tensor<string, []>("op_117"), val = tensor<int32, [2]>([-1, 511])];
            tensor<fp16, [1024, 511]> pos_scores_3_cast_fp16 = reshape(shape = var_117, x = pos_scores_1_cast_fp16)[name = tensor<string, []>("pos_scores_3_cast_fp16")];
            tensor<bool, []> pos_scores_5_validate_indices_0 = const()[name = tensor<string, []>("pos_scores_5_validate_indices_0"), val = tensor<bool, []>(false)];
            tensor<uint16, [1024, 256]> indexes_1_to_uint16 = const()[name = tensor<string, []>("indexes_1_to_uint16"), val = tensor<uint16, [1024, 256]>([[255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 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508], [252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 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            tensor<fp16, [1024, 256]> pos_scores_5_cast_fp16_cast_uint16 = gather_along_axis(axis = var_31, indices = indexes_1_to_uint16, validate_indices = pos_scores_5_validate_indices_0, x = pos_scores_3_cast_fp16)[name = tensor<string, []>("pos_scores_5_cast_fp16_cast_uint16")];
            tensor<int32, [4]> var_120 = const()[name = tensor<string, []>("op_120"), val = tensor<int32, [4]>([4, 1, 256, 256])];
            tensor<fp16, [4, 1, 256, 256]> pos_scores_7_cast_fp16 = reshape(shape = var_120, x = pos_scores_5_cast_fp16_cast_uint16)[name = tensor<string, []>("pos_scores_7_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_3_cast_fp16 = add(x = attn_scores_1_cast_fp16, y = pos_scores_7_cast_fp16)[name = tensor<string, []>("attn_scores_3_cast_fp16")];
            tensor<int32, [1]> var_123_axes_0 = const()[name = tensor<string, []>("op_123_axes_0"), val = tensor<int32, [1]>([1])];
            tensor<bool, [1, 1, 256]> var_123 = expand_dims(axes = var_123_axes_0, x = key_padding_mask_cast_fp16)[name = tensor<string, []>("op_123")];
            tensor<fp16, []> cast_7_to_fp16 = const()[name = tensor<string, []>("cast_7_to_fp16"), val = tensor<fp16, []>(-0x1.f4p+9)];
            tensor<fp16, [4, 1, 256, 256]> x_5_cast_fp16 = select(a = cast_7_to_fp16, b = attn_scores_3_cast_fp16, cond = var_123)[name = tensor<string, []>("x_5_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> input_7_cast_fp16 = softmax(axis = var_24, x = x_5_cast_fp16)[name = tensor<string, []>("input_7_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_0_feed_forward1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(334208)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_0_feed_forward1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(481728)))];
            tensor<fp16, [256, 1, 384]> linear_3_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_feed_forward1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_feed_forward1_in_proj_weight_to_fp16, x = linear_0_cast_fp16)[name = tensor<string, []>("linear_3_cast_fp16")];
            tensor<fp16, []> var_135_to_fp16 = const()[name = tensor<string, []>("op_135_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 384]> x_offset_1_cast_fp16 = sub(x = linear_3_cast_fp16, y = var_135_to_fp16)[name = tensor<string, []>("x_offset_1_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_137_cast_fp16 = exp(x = x_offset_1_cast_fp16)[name = tensor<string, []>("op_137_cast_fp16")];
            tensor<fp16, []> var_138_to_fp16 = const()[name = tensor<string, []>("op_138_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 384]> var_139_cast_fp16 = add(x = var_137_cast_fp16, y = var_138_to_fp16)[name = tensor<string, []>("op_139_cast_fp16")];
            tensor<fp32, []> var_140_epsilon_0 = const()[name = tensor<string, []>("op_140_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 384]> var_140_cast_fp16 = log(epsilon = var_140_epsilon_0, x = var_139_cast_fp16)[name = tensor<string, []>("op_140_cast_fp16")];
            tensor<fp16, []> var_16_to_fp16 = const()[name = tensor<string, []>("op_16_to_fp16"), val = tensor<fp16, []>(inf)];
            tensor<bool, [256, 1, 384]> var_142_cast_fp16 = equal(x = var_140_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_142_cast_fp16")];
            tensor<fp16, [256, 1, 384]> log_sum_3_cast_fp16 = select(a = x_offset_1_cast_fp16, b = var_140_cast_fp16, cond = var_142_cast_fp16)[name = tensor<string, []>("log_sum_3_cast_fp16")];
            tensor<fp16, []> var_144_to_fp16 = const()[name = tensor<string, []>("op_144_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 384]> var_145_cast_fp16 = mul(x = linear_3_cast_fp16, y = var_144_to_fp16)[name = tensor<string, []>("op_145_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_146_cast_fp16 = sub(x = log_sum_3_cast_fp16, y = var_145_cast_fp16)[name = tensor<string, []>("op_146_cast_fp16")];
            tensor<fp16, []> var_147_to_fp16 = const()[name = tensor<string, []>("op_147_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 384]> x_11_cast_fp16 = sub(x = var_146_cast_fp16, y = var_147_to_fp16)[name = tensor<string, []>("x_11_cast_fp16")];
            tensor<fp16, [192, 384]> text_encoder_encoders_0_layers_0_feed_forward1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(482560)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_feed_forward1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(630080)))];
            tensor<fp16, [256, 1, 192]> linear_4_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_feed_forward1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_feed_forward1_out_proj_weight_to_fp16, x = x_11_cast_fp16)[name = tensor<string, []>("linear_4_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_9_cast_fp16 = add(x = linear_0_cast_fp16, y = linear_4_cast_fp16)[name = tensor<string, []>("input_9_cast_fp16")];
            tensor<int32, [4]> attn_weights_3_begin_0 = const()[name = tensor<string, []>("attn_weights_3_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> attn_weights_3_end_0 = const()[name = tensor<string, []>("attn_weights_3_end_0"), val = tensor<int32, [4]>([1, 1, 256, 256])];
            tensor<bool, [4]> attn_weights_3_end_mask_0 = const()[name = tensor<string, []>("attn_weights_3_end_mask_0"), val = tensor<bool, [4]>([false, true, true, true])];
            tensor<fp16, [1, 1, 256, 256]> attn_weights_3_cast_fp16 = slice_by_index(begin = attn_weights_3_begin_0, end = attn_weights_3_end_0, end_mask = attn_weights_3_end_mask_0, x = input_7_cast_fp16)[name = tensor<string, []>("attn_weights_3_cast_fp16")];
            tensor<fp16, [432, 192]> text_encoder_encoders_0_layers_0_nonlin_attention_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_nonlin_attention_in_proj_weight_to_fp16"), val = tensor<fp16, [432, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(630528)))];
            tensor<fp16, [432]> text_encoder_encoders_0_layers_0_nonlin_attention_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_nonlin_attention_in_proj_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(796480)))];
            tensor<fp16, [256, 1, 432]> linear_5_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_nonlin_attention_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_nonlin_attention_in_proj_weight_to_fp16, x = input_9_cast_fp16)[name = tensor<string, []>("linear_5_cast_fp16")];
            tensor<int32, [3]> var_159_split_sizes_0 = const()[name = tensor<string, []>("op_159_split_sizes_0"), val = tensor<int32, [3]>([144, 144, 144])];
            tensor<int32, []> var_159_axis_0 = const()[name = tensor<string, []>("op_159_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 144]> var_159_cast_fp16_0, tensor<fp16, [256, 1, 144]> var_159_cast_fp16_1, tensor<fp16, [256, 1, 144]> var_159_cast_fp16_2 = split(axis = var_159_axis_0, split_sizes = var_159_split_sizes_0, x = linear_5_cast_fp16)[name = tensor<string, []>("op_159_cast_fp16")];
            tensor<fp16, [256, 1, 144]> s_1_cast_fp16 = tanh(x = var_159_cast_fp16_0)[name = tensor<string, []>("s_1_cast_fp16")];
            tensor<int32, [1]> var_163_axes_0 = const()[name = tensor<string, []>("op_163_axes_0"), val = tensor<int32, [1]>([-1])];
            tensor<fp16, [256, 1, 144, 1]> var_163_cast_fp16 = expand_dims(axes = var_163_axes_0, x = s_1_cast_fp16)[name = tensor<string, []>("op_163_cast_fp16")];
            tensor<int32, [3]> var_164 = const()[name = tensor<string, []>("op_164"), val = tensor<int32, [3]>([256, 1, 144])];
            tensor<fp16, [256, 1, 144]> s_3_cast_fp16 = reshape(shape = var_164, x = var_163_cast_fp16)[name = tensor<string, []>("s_3_cast_fp16")];
            tensor<fp16, [256, 1, 144]> x_17_cast_fp16 = mul(x = var_159_cast_fp16_1, y = s_3_cast_fp16)[name = tensor<string, []>("x_17_cast_fp16")];
            tensor<int32, [4]> var_170 = const()[name = tensor<string, []>("op_170"), val = tensor<int32, [4]>([256, 1, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_171_cast_fp16 = reshape(shape = var_170, x = x_17_cast_fp16)[name = tensor<string, []>("op_171_cast_fp16")];
            tensor<int32, [4]> var_172 = const()[name = tensor<string, []>("op_172"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_21_transpose_x_0 = const()[name = tensor<string, []>("x_21_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_21_transpose_y_0 = const()[name = tensor<string, []>("x_21_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 1, 256, 144]> x_19_cast_fp16 = transpose(perm = var_172, x = var_171_cast_fp16)[name = tensor<string, []>("transpose_73")];
            tensor<fp16, [1, 1, 256, 144]> x_21_cast_fp16 = matmul(transpose_x = x_21_transpose_x_0, transpose_y = x_21_transpose_y_0, x = attn_weights_3_cast_fp16, y = x_19_cast_fp16)[name = tensor<string, []>("x_21_cast_fp16")];
            tensor<int32, [4]> var_175 = const()[name = tensor<string, []>("op_175"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_177 = const()[name = tensor<string, []>("op_177"), val = tensor<int32, [3]>([256, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_176_cast_fp16 = transpose(perm = var_175, x = x_21_cast_fp16)[name = tensor<string, []>("transpose_72")];
            tensor<fp16, [256, 1, 144]> x_23_cast_fp16 = reshape(shape = var_177, x = var_176_cast_fp16)[name = tensor<string, []>("x_23_cast_fp16")];
            tensor<fp16, [256, 1, 144]> input_13_cast_fp16 = mul(x = x_23_cast_fp16, y = var_159_cast_fp16_2)[name = tensor<string, []>("input_13_cast_fp16")];
            tensor<fp16, [192, 144]> text_encoder_encoders_0_layers_0_nonlin_attention_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_nonlin_attention_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 144]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(797440)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_nonlin_attention_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_nonlin_attention_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(852800)))];
            tensor<fp16, [256, 1, 192]> linear_6_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_nonlin_attention_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_nonlin_attention_out_proj_weight_to_fp16, x = input_13_cast_fp16)[name = tensor<string, []>("linear_6_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_25_cast_fp16 = add(x = input_9_cast_fp16, y = linear_6_cast_fp16)[name = tensor<string, []>("x_25_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_0_self_attn1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn1_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(853248)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_0_self_attn1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn1_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(871744)))];
            tensor<fp16, [256, 1, 48]> linear_7_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_self_attn1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_self_attn1_in_proj_weight_to_fp16, x = x_25_cast_fp16)[name = tensor<string, []>("linear_7_cast_fp16")];
            tensor<int32, [4]> var_193 = const()[name = tensor<string, []>("op_193"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_194_cast_fp16 = reshape(shape = var_193, x = linear_7_cast_fp16)[name = tensor<string, []>("op_194_cast_fp16")];
            tensor<int32, [4]> var_195 = const()[name = tensor<string, []>("op_195"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_31_transpose_x_0 = const()[name = tensor<string, []>("x_31_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_31_transpose_y_0 = const()[name = tensor<string, []>("x_31_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_29_cast_fp16 = transpose(perm = var_195, x = var_194_cast_fp16)[name = tensor<string, []>("transpose_71")];
            tensor<fp16, [4, 1, 256, 12]> x_31_cast_fp16 = matmul(transpose_x = x_31_transpose_x_0, transpose_y = x_31_transpose_y_0, x = input_7_cast_fp16, y = x_29_cast_fp16)[name = tensor<string, []>("x_31_cast_fp16")];
            tensor<int32, [4]> var_200 = const()[name = tensor<string, []>("op_200"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_205 = const()[name = tensor<string, []>("op_205"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_201_cast_fp16 = transpose(perm = var_200, x = x_31_cast_fp16)[name = tensor<string, []>("transpose_70")];
            tensor<fp16, [256, 1, 48]> input_15_cast_fp16 = reshape(shape = var_205, x = var_201_cast_fp16)[name = tensor<string, []>("input_15_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_0_self_attn1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(871936)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_self_attn1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(890432)))];
            tensor<fp16, [256, 1, 192]> linear_8_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_self_attn1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_self_attn1_out_proj_weight_to_fp16, x = input_15_cast_fp16)[name = tensor<string, []>("linear_8_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_17_cast_fp16 = add(x = x_25_cast_fp16, y = linear_8_cast_fp16)[name = tensor<string, []>("input_17_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_0_conv_module1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(890880)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_0_conv_module1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1038400)))];
            tensor<fp16, [256, 1, 384]> linear_9_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_conv_module1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_conv_module1_in_proj_weight_to_fp16, x = input_17_cast_fp16)[name = tensor<string, []>("linear_9_cast_fp16")];
            tensor<int32, [2]> var_217_split_sizes_0 = const()[name = tensor<string, []>("op_217_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_217_axis_0 = const()[name = tensor<string, []>("op_217_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_217_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_217_cast_fp16_1 = split(axis = var_217_axis_0, split_sizes = var_217_split_sizes_0, x = linear_9_cast_fp16)[name = tensor<string, []>("op_217_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_5_cast_fp16 = sigmoid(x = var_217_cast_fp16_1)[name = tensor<string, []>("s_5_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_37_cast_fp16 = mul(x = var_217_cast_fp16_0, y = s_5_cast_fp16)[name = tensor<string, []>("x_37_cast_fp16")];
            tensor<int32, [3]> var_221 = const()[name = tensor<string, []>("op_221"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<int32, [3]> var_224_reps_0 = const()[name = tensor<string, []>("op_224_reps_0"), val = tensor<int32, [3]>([1, 192, 1])];
            tensor<bool, [1, 192, 256]> var_224 = tile(reps = var_224_reps_0, x = var_123)[name = tensor<string, []>("op_224")];
            tensor<fp16, []> var_28_to_fp16 = const()[name = tensor<string, []>("op_28_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
            tensor<fp16, [1, 192, 256]> x_39_cast_fp16 = transpose(perm = var_221, x = x_37_cast_fp16)[name = tensor<string, []>("transpose_69")];
            tensor<fp16, [1, 192, 256]> input_21_cast_fp16 = select(a = var_28_to_fp16, b = x_39_cast_fp16, cond = var_224)[name = tensor<string, []>("input_21_cast_fp16")];
            tensor<string, []> x_41_pad_type_0 = const()[name = tensor<string, []>("x_41_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_41_pad_0 = const()[name = tensor<string, []>("x_41_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_41_groups_0 = const()[name = tensor<string, []>("x_41_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_41_strides_0 = const()[name = tensor<string, []>("x_41_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_41_dilations_0 = const()[name = tensor<string, []>("x_41_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_0_conv_module1_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module1_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1039232)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_conv_module1_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module1_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1042752)))];
            tensor<fp16, [1, 192, 256]> x_41_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_0_conv_module1_depthwise_conv_bias_to_fp16, dilations = x_41_dilations_0, groups = x_41_groups_0, pad = x_41_pad_0, pad_type = x_41_pad_type_0, strides = x_41_strides_0, weight = text_encoder_encoders_0_layers_0_conv_module1_depthwise_conv_weight_to_fp16, x = input_21_cast_fp16)[name = tensor<string, []>("x_41_cast_fp16")];
            tensor<int32, [3]> var_233 = const()[name = tensor<string, []>("op_233"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_238_to_fp16 = const()[name = tensor<string, []>("op_238_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_43_cast_fp16 = transpose(perm = var_233, x = x_41_cast_fp16)[name = tensor<string, []>("transpose_68")];
            tensor<fp16, [256, 1, 192]> x_offset_3_cast_fp16 = sub(x = x_43_cast_fp16, y = var_238_to_fp16)[name = tensor<string, []>("x_offset_3_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_240_cast_fp16 = exp(x = x_offset_3_cast_fp16)[name = tensor<string, []>("op_240_cast_fp16")];
            tensor<fp16, []> var_241_to_fp16 = const()[name = tensor<string, []>("op_241_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_242_cast_fp16 = add(x = var_240_cast_fp16, y = var_241_to_fp16)[name = tensor<string, []>("op_242_cast_fp16")];
            tensor<fp32, []> var_243_epsilon_0 = const()[name = tensor<string, []>("op_243_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_243_cast_fp16 = log(epsilon = var_243_epsilon_0, x = var_242_cast_fp16)[name = tensor<string, []>("op_243_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_245_cast_fp16 = equal(x = var_243_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_245_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_7_cast_fp16 = select(a = x_offset_3_cast_fp16, b = var_243_cast_fp16, cond = var_245_cast_fp16)[name = tensor<string, []>("log_sum_7_cast_fp16")];
            tensor<fp16, []> var_247_to_fp16 = const()[name = tensor<string, []>("op_247_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_248_cast_fp16 = mul(x = x_43_cast_fp16, y = var_247_to_fp16)[name = tensor<string, []>("op_248_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_249_cast_fp16 = sub(x = log_sum_7_cast_fp16, y = var_248_cast_fp16)[name = tensor<string, []>("op_249_cast_fp16")];
            tensor<fp16, []> var_250_to_fp16 = const()[name = tensor<string, []>("op_250_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_47_cast_fp16 = sub(x = var_249_cast_fp16, y = var_250_to_fp16)[name = tensor<string, []>("x_47_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_0_conv_module1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1043200)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_conv_module1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1116992)))];
            tensor<fp16, [256, 1, 192]> linear_10_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_conv_module1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_conv_module1_out_proj_weight_to_fp16, x = x_47_cast_fp16)[name = tensor<string, []>("linear_10_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_23_cast_fp16 = add(x = input_17_cast_fp16, y = linear_10_cast_fp16)[name = tensor<string, []>("input_23_cast_fp16")];
            tensor<fp16, [512, 192]> text_encoder_encoders_0_layers_0_feed_forward2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward2_in_proj_weight_to_fp16"), val = tensor<fp16, [512, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1117440)))];
            tensor<fp16, [512]> text_encoder_encoders_0_layers_0_feed_forward2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward2_in_proj_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1314112)))];
            tensor<fp16, [256, 1, 512]> linear_11_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_feed_forward2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_feed_forward2_in_proj_weight_to_fp16, x = input_23_cast_fp16)[name = tensor<string, []>("linear_11_cast_fp16")];
            tensor<fp16, []> var_262_to_fp16 = const()[name = tensor<string, []>("op_262_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 512]> x_offset_5_cast_fp16 = sub(x = linear_11_cast_fp16, y = var_262_to_fp16)[name = tensor<string, []>("x_offset_5_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_264_cast_fp16 = exp(x = x_offset_5_cast_fp16)[name = tensor<string, []>("op_264_cast_fp16")];
            tensor<fp16, []> var_265_to_fp16 = const()[name = tensor<string, []>("op_265_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 512]> var_266_cast_fp16 = add(x = var_264_cast_fp16, y = var_265_to_fp16)[name = tensor<string, []>("op_266_cast_fp16")];
            tensor<fp32, []> var_267_epsilon_0 = const()[name = tensor<string, []>("op_267_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 512]> var_267_cast_fp16 = log(epsilon = var_267_epsilon_0, x = var_266_cast_fp16)[name = tensor<string, []>("op_267_cast_fp16")];
            tensor<bool, [256, 1, 512]> var_269_cast_fp16 = equal(x = var_267_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_269_cast_fp16")];
            tensor<fp16, [256, 1, 512]> log_sum_11_cast_fp16 = select(a = x_offset_5_cast_fp16, b = var_267_cast_fp16, cond = var_269_cast_fp16)[name = tensor<string, []>("log_sum_11_cast_fp16")];
            tensor<fp16, []> var_271_to_fp16 = const()[name = tensor<string, []>("op_271_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 512]> var_272_cast_fp16 = mul(x = linear_11_cast_fp16, y = var_271_to_fp16)[name = tensor<string, []>("op_272_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_273_cast_fp16 = sub(x = log_sum_11_cast_fp16, y = var_272_cast_fp16)[name = tensor<string, []>("op_273_cast_fp16")];
            tensor<fp16, []> var_274_to_fp16 = const()[name = tensor<string, []>("op_274_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 512]> x_53_cast_fp16 = sub(x = var_273_cast_fp16, y = var_274_to_fp16)[name = tensor<string, []>("x_53_cast_fp16")];
            tensor<fp16, [192, 512]> text_encoder_encoders_0_layers_0_feed_forward2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1315200)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_feed_forward2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1511872)))];
            tensor<fp16, [256, 1, 192]> linear_12_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_feed_forward2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_feed_forward2_out_proj_weight_to_fp16, x = x_53_cast_fp16)[name = tensor<string, []>("linear_12_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_1_cast_fp16 = add(x = input_23_cast_fp16, y = linear_12_cast_fp16)[name = tensor<string, []>("src_1_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_279_cast_fp16 = sub(x = src_1_cast_fp16, y = linear_0_cast_fp16)[name = tensor<string, []>("op_279_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_bypass_mid_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_bypass_mid_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1512320)))];
            tensor<fp16, [256, 1, 192]> var_280_cast_fp16 = mul(x = var_279_cast_fp16, y = text_encoder_encoders_0_layers_0_bypass_mid_bypass_scale_to_fp16)[name = tensor<string, []>("op_280_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_55_cast_fp16 = add(x = linear_0_cast_fp16, y = var_280_cast_fp16)[name = tensor<string, []>("x_55_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_0_self_attn2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn2_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1512768)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_0_self_attn2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn2_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1531264)))];
            tensor<fp16, [256, 1, 48]> linear_13_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_self_attn2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_self_attn2_in_proj_weight_to_fp16, x = x_55_cast_fp16)[name = tensor<string, []>("linear_13_cast_fp16")];
            tensor<int32, [4]> var_291 = const()[name = tensor<string, []>("op_291"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_292_cast_fp16 = reshape(shape = var_291, x = linear_13_cast_fp16)[name = tensor<string, []>("op_292_cast_fp16")];
            tensor<int32, [4]> var_293 = const()[name = tensor<string, []>("op_293"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_61_transpose_x_0 = const()[name = tensor<string, []>("x_61_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_61_transpose_y_0 = const()[name = tensor<string, []>("x_61_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_59_cast_fp16 = transpose(perm = var_293, x = var_292_cast_fp16)[name = tensor<string, []>("transpose_67")];
            tensor<fp16, [4, 1, 256, 12]> x_61_cast_fp16 = matmul(transpose_x = x_61_transpose_x_0, transpose_y = x_61_transpose_y_0, x = input_7_cast_fp16, y = x_59_cast_fp16)[name = tensor<string, []>("x_61_cast_fp16")];
            tensor<int32, [4]> var_298 = const()[name = tensor<string, []>("op_298"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_303 = const()[name = tensor<string, []>("op_303"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_299_cast_fp16 = transpose(perm = var_298, x = x_61_cast_fp16)[name = tensor<string, []>("transpose_66")];
            tensor<fp16, [256, 1, 48]> input_25_cast_fp16 = reshape(shape = var_303, x = var_299_cast_fp16)[name = tensor<string, []>("input_25_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_0_self_attn2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1531456)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_self_attn2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_self_attn2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1549952)))];
            tensor<fp16, [256, 1, 192]> linear_14_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_self_attn2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_self_attn2_out_proj_weight_to_fp16, x = input_25_cast_fp16)[name = tensor<string, []>("linear_14_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_27_cast_fp16 = add(x = x_55_cast_fp16, y = linear_14_cast_fp16)[name = tensor<string, []>("input_27_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_0_conv_module2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module2_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1550400)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_0_conv_module2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module2_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1697920)))];
            tensor<fp16, [256, 1, 384]> linear_15_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_conv_module2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_conv_module2_in_proj_weight_to_fp16, x = input_27_cast_fp16)[name = tensor<string, []>("linear_15_cast_fp16")];
            tensor<int32, [2]> var_315_split_sizes_0 = const()[name = tensor<string, []>("op_315_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_315_axis_0 = const()[name = tensor<string, []>("op_315_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_315_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_315_cast_fp16_1 = split(axis = var_315_axis_0, split_sizes = var_315_split_sizes_0, x = linear_15_cast_fp16)[name = tensor<string, []>("op_315_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_7_cast_fp16 = sigmoid(x = var_315_cast_fp16_1)[name = tensor<string, []>("s_7_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_67_cast_fp16 = mul(x = var_315_cast_fp16_0, y = s_7_cast_fp16)[name = tensor<string, []>("x_67_cast_fp16")];
            tensor<int32, [3]> var_319 = const()[name = tensor<string, []>("op_319"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_69_cast_fp16 = transpose(perm = var_319, x = x_67_cast_fp16)[name = tensor<string, []>("transpose_65")];
            tensor<fp16, [1, 192, 256]> input_31_cast_fp16 = select(a = var_28_to_fp16, b = x_69_cast_fp16, cond = var_224)[name = tensor<string, []>("input_31_cast_fp16")];
            tensor<string, []> x_71_pad_type_0 = const()[name = tensor<string, []>("x_71_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_71_pad_0 = const()[name = tensor<string, []>("x_71_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_71_groups_0 = const()[name = tensor<string, []>("x_71_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_71_strides_0 = const()[name = tensor<string, []>("x_71_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_71_dilations_0 = const()[name = tensor<string, []>("x_71_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_0_conv_module2_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module2_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1698752)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_conv_module2_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module2_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1702272)))];
            tensor<fp16, [1, 192, 256]> x_71_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_0_conv_module2_depthwise_conv_bias_to_fp16, dilations = x_71_dilations_0, groups = x_71_groups_0, pad = x_71_pad_0, pad_type = x_71_pad_type_0, strides = x_71_strides_0, weight = text_encoder_encoders_0_layers_0_conv_module2_depthwise_conv_weight_to_fp16, x = input_31_cast_fp16)[name = tensor<string, []>("x_71_cast_fp16")];
            tensor<int32, [3]> var_331 = const()[name = tensor<string, []>("op_331"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_336_to_fp16 = const()[name = tensor<string, []>("op_336_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_73_cast_fp16 = transpose(perm = var_331, x = x_71_cast_fp16)[name = tensor<string, []>("transpose_64")];
            tensor<fp16, [256, 1, 192]> x_offset_7_cast_fp16 = sub(x = x_73_cast_fp16, y = var_336_to_fp16)[name = tensor<string, []>("x_offset_7_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_338_cast_fp16 = exp(x = x_offset_7_cast_fp16)[name = tensor<string, []>("op_338_cast_fp16")];
            tensor<fp16, []> var_339_to_fp16 = const()[name = tensor<string, []>("op_339_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_340_cast_fp16 = add(x = var_338_cast_fp16, y = var_339_to_fp16)[name = tensor<string, []>("op_340_cast_fp16")];
            tensor<fp32, []> var_341_epsilon_0 = const()[name = tensor<string, []>("op_341_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_341_cast_fp16 = log(epsilon = var_341_epsilon_0, x = var_340_cast_fp16)[name = tensor<string, []>("op_341_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_343_cast_fp16 = equal(x = var_341_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_343_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_15_cast_fp16 = select(a = x_offset_7_cast_fp16, b = var_341_cast_fp16, cond = var_343_cast_fp16)[name = tensor<string, []>("log_sum_15_cast_fp16")];
            tensor<fp16, []> var_345_to_fp16 = const()[name = tensor<string, []>("op_345_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_346_cast_fp16 = mul(x = x_73_cast_fp16, y = var_345_to_fp16)[name = tensor<string, []>("op_346_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_347_cast_fp16 = sub(x = log_sum_15_cast_fp16, y = var_346_cast_fp16)[name = tensor<string, []>("op_347_cast_fp16")];
            tensor<fp16, []> var_348_to_fp16 = const()[name = tensor<string, []>("op_348_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_77_cast_fp16 = sub(x = var_347_cast_fp16, y = var_348_to_fp16)[name = tensor<string, []>("x_77_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_0_conv_module2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1702720)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_conv_module2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_conv_module2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1776512)))];
            tensor<fp16, [256, 1, 192]> linear_16_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_conv_module2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_conv_module2_out_proj_weight_to_fp16, x = x_77_cast_fp16)[name = tensor<string, []>("linear_16_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_33_cast_fp16 = add(x = input_27_cast_fp16, y = linear_16_cast_fp16)[name = tensor<string, []>("input_33_cast_fp16")];
            tensor<fp16, [640, 192]> text_encoder_encoders_0_layers_0_feed_forward3_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward3_in_proj_weight_to_fp16"), val = tensor<fp16, [640, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1776960)))];
            tensor<fp16, [640]> text_encoder_encoders_0_layers_0_feed_forward3_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward3_in_proj_bias_to_fp16"), val = tensor<fp16, [640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2022784)))];
            tensor<fp16, [256, 1, 640]> linear_17_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_feed_forward3_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_feed_forward3_in_proj_weight_to_fp16, x = input_33_cast_fp16)[name = tensor<string, []>("linear_17_cast_fp16")];
            tensor<fp16, []> var_360_to_fp16 = const()[name = tensor<string, []>("op_360_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 640]> x_offset_9_cast_fp16 = sub(x = linear_17_cast_fp16, y = var_360_to_fp16)[name = tensor<string, []>("x_offset_9_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_362_cast_fp16 = exp(x = x_offset_9_cast_fp16)[name = tensor<string, []>("op_362_cast_fp16")];
            tensor<fp16, []> var_363_to_fp16 = const()[name = tensor<string, []>("op_363_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 640]> var_364_cast_fp16 = add(x = var_362_cast_fp16, y = var_363_to_fp16)[name = tensor<string, []>("op_364_cast_fp16")];
            tensor<fp32, []> var_365_epsilon_0 = const()[name = tensor<string, []>("op_365_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 640]> var_365_cast_fp16 = log(epsilon = var_365_epsilon_0, x = var_364_cast_fp16)[name = tensor<string, []>("op_365_cast_fp16")];
            tensor<bool, [256, 1, 640]> var_367_cast_fp16 = equal(x = var_365_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_367_cast_fp16")];
            tensor<fp16, [256, 1, 640]> log_sum_19_cast_fp16 = select(a = x_offset_9_cast_fp16, b = var_365_cast_fp16, cond = var_367_cast_fp16)[name = tensor<string, []>("log_sum_19_cast_fp16")];
            tensor<fp16, []> var_369_to_fp16 = const()[name = tensor<string, []>("op_369_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 640]> var_370_cast_fp16 = mul(x = linear_17_cast_fp16, y = var_369_to_fp16)[name = tensor<string, []>("op_370_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_371_cast_fp16 = sub(x = log_sum_19_cast_fp16, y = var_370_cast_fp16)[name = tensor<string, []>("op_371_cast_fp16")];
            tensor<fp16, []> var_372_to_fp16 = const()[name = tensor<string, []>("op_372_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 640]> x_83_cast_fp16 = sub(x = var_371_cast_fp16, y = var_372_to_fp16)[name = tensor<string, []>("x_83_cast_fp16")];
            tensor<fp16, [192, 640]> text_encoder_encoders_0_layers_0_feed_forward3_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward3_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2024128)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_feed_forward3_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_feed_forward3_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2269952)))];
            tensor<fp16, [256, 1, 192]> linear_18_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_0_feed_forward3_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_0_feed_forward3_out_proj_weight_to_fp16, x = x_83_cast_fp16)[name = tensor<string, []>("linear_18_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_85_cast_fp16 = add(x = input_33_cast_fp16, y = linear_18_cast_fp16)[name = tensor<string, []>("x_85_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_norm_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_norm_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2270400)))];
            tensor<fp16, [256, 1, 192]> var_378_cast_fp16 = sub(x = x_85_cast_fp16, y = text_encoder_encoders_0_layers_0_norm_bias_to_fp16)[name = tensor<string, []>("op_378_cast_fp16")];
            tensor<fp16, []> var_29_promoted_to_fp16 = const()[name = tensor<string, []>("op_29_promoted_to_fp16"), val = tensor<fp16, []>(0x1p+1)];
            tensor<fp16, [256, 1, 192]> var_379_cast_fp16 = pow(x = var_378_cast_fp16, y = var_29_promoted_to_fp16)[name = tensor<string, []>("op_379_cast_fp16")];
            tensor<int32, [1]> var_381_axes_0 = const()[name = tensor<string, []>("op_381_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<bool, []> var_381_keep_dims_0 = const()[name = tensor<string, []>("op_381_keep_dims_0"), val = tensor<bool, []>(true)];
            tensor<fp16, [256, 1, 1]> var_381_cast_fp16 = reduce_mean(axes = var_381_axes_0, keep_dims = var_381_keep_dims_0, x = var_379_cast_fp16)[name = tensor<string, []>("op_381_cast_fp16")];
            tensor<fp16, []> var_12_to_fp16 = const()[name = tensor<string, []>("op_12_to_fp16"), val = tensor<fp16, []>(-0x1p-1)];
            tensor<fp16, [256, 1, 1]> var_382_cast_fp16 = pow(x = var_381_cast_fp16, y = var_12_to_fp16)[name = tensor<string, []>("op_382_cast_fp16")];
            tensor<fp16, []> var_383_to_fp16 = const()[name = tensor<string, []>("op_383_to_fp16"), val = tensor<fp16, []>(0x1.4a8p+0)];
            tensor<fp16, [256, 1, 1]> scales_1_cast_fp16 = mul(x = var_382_cast_fp16, y = var_383_to_fp16)[name = tensor<string, []>("scales_1_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_3_cast_fp16 = mul(x = x_85_cast_fp16, y = scales_1_cast_fp16)[name = tensor<string, []>("src_3_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_387_cast_fp16 = sub(x = src_3_cast_fp16, y = linear_0_cast_fp16)[name = tensor<string, []>("op_387_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_0_bypass_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_0_bypass_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2270848)))];
            tensor<fp16, [256, 1, 192]> var_388_cast_fp16 = mul(x = var_387_cast_fp16, y = text_encoder_encoders_0_layers_0_bypass_bypass_scale_to_fp16)[name = tensor<string, []>("op_388_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_35_cast_fp16 = add(x = linear_0_cast_fp16, y = var_388_cast_fp16)[name = tensor<string, []>("input_35_cast_fp16")];
            tensor<fp16, [272, 192]> text_encoder_encoders_0_layers_1_self_attn_weights_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn_weights_in_proj_weight_to_fp16"), val = tensor<fp16, [272, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2271296)))];
            tensor<fp16, [272]> text_encoder_encoders_0_layers_1_self_attn_weights_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn_weights_in_proj_bias_to_fp16"), val = tensor<fp16, [272]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2375808)))];
            tensor<fp16, [256, 1, 272]> linear_19_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_self_attn_weights_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_self_attn_weights_in_proj_weight_to_fp16, x = input_35_cast_fp16)[name = tensor<string, []>("linear_19_cast_fp16")];
            tensor<int32, [3]> q_7_begin_0 = const()[name = tensor<string, []>("q_7_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> q_7_end_0 = const()[name = tensor<string, []>("q_7_end_0"), val = tensor<int32, [3]>([256, 1, 128])];
            tensor<bool, [3]> q_7_end_mask_0 = const()[name = tensor<string, []>("q_7_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> q_7_cast_fp16 = slice_by_index(begin = q_7_begin_0, end = q_7_end_0, end_mask = q_7_end_mask_0, x = linear_19_cast_fp16)[name = tensor<string, []>("q_7_cast_fp16")];
            tensor<int32, [3]> k_7_begin_0 = const()[name = tensor<string, []>("k_7_begin_0"), val = tensor<int32, [3]>([0, 0, 128])];
            tensor<int32, [3]> k_7_end_0 = const()[name = tensor<string, []>("k_7_end_0"), val = tensor<int32, [3]>([256, 1, 256])];
            tensor<bool, [3]> k_7_end_mask_0 = const()[name = tensor<string, []>("k_7_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> k_7_cast_fp16 = slice_by_index(begin = k_7_begin_0, end = k_7_end_0, end_mask = k_7_end_mask_0, x = linear_19_cast_fp16)[name = tensor<string, []>("k_7_cast_fp16")];
            tensor<int32, [3]> p_7_begin_0 = const()[name = tensor<string, []>("p_7_begin_0"), val = tensor<int32, [3]>([0, 0, 256])];
            tensor<int32, [3]> p_7_end_0 = const()[name = tensor<string, []>("p_7_end_0"), val = tensor<int32, [3]>([256, 1, 272])];
            tensor<bool, [3]> p_7_end_mask_0 = const()[name = tensor<string, []>("p_7_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [256, 1, 16]> p_7_cast_fp16 = slice_by_index(begin = p_7_begin_0, end = p_7_end_0, end_mask = p_7_end_mask_0, x = linear_19_cast_fp16)[name = tensor<string, []>("p_7_cast_fp16")];
            tensor<int32, [4]> var_413 = const()[name = tensor<string, []>("op_413"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> q_9_cast_fp16 = reshape(shape = var_413, x = q_7_cast_fp16)[name = tensor<string, []>("q_9_cast_fp16")];
            tensor<int32, [4]> var_415 = const()[name = tensor<string, []>("op_415"), val = tensor<int32, [4]>([256, 1, 4, 4])];
            tensor<fp16, [256, 1, 4, 4]> p_9_cast_fp16 = reshape(shape = var_415, x = p_7_cast_fp16)[name = tensor<string, []>("p_9_cast_fp16")];
            tensor<int32, [4]> var_417 = const()[name = tensor<string, []>("op_417"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> k_9_cast_fp16 = reshape(shape = var_417, x = k_7_cast_fp16)[name = tensor<string, []>("k_9_cast_fp16")];
            tensor<int32, [4]> var_421 = const()[name = tensor<string, []>("op_421"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> attn_scores_5_transpose_x_0 = const()[name = tensor<string, []>("attn_scores_5_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> attn_scores_5_transpose_y_0 = const()[name = tensor<string, []>("attn_scores_5_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<int32, [4]> transpose_18_perm_0 = const()[name = tensor<string, []>("transpose_18_perm_0"), val = tensor<int32, [4]>([2, 1, -4, -1])];
            tensor<int32, [4]> transpose_19_perm_0 = const()[name = tensor<string, []>("transpose_19_perm_0"), val = tensor<int32, [4]>([2, 1, -1, -4])];
            tensor<fp16, [4, 1, 32, 256]> transpose_19 = transpose(perm = transpose_19_perm_0, x = k_9_cast_fp16)[name = tensor<string, []>("transpose_61")];
            tensor<fp16, [4, 1, 256, 32]> transpose_18 = transpose(perm = transpose_18_perm_0, x = q_9_cast_fp16)[name = tensor<string, []>("transpose_62")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_5_cast_fp16 = matmul(transpose_x = attn_scores_5_transpose_x_0, transpose_y = attn_scores_5_transpose_y_0, x = transpose_18, y = transpose_19)[name = tensor<string, []>("attn_scores_5_cast_fp16")];
            tensor<bool, []> pos_scores_9_transpose_x_0 = const()[name = tensor<string, []>("pos_scores_9_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> pos_scores_9_transpose_y_0 = const()[name = tensor<string, []>("pos_scores_9_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 4, 511]> pos_emb_7_to_fp16 = const()[name = tensor<string, []>("pos_emb_7_to_fp16"), val = tensor<fp16, [4, 1, 4, 511]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2376448)))];
            tensor<fp16, [4, 1, 256, 4]> p_11_cast_fp16 = transpose(perm = var_421, x = p_9_cast_fp16)[name = tensor<string, []>("transpose_63")];
            tensor<fp16, [4, 1, 256, 511]> pos_scores_9_cast_fp16 = matmul(transpose_x = pos_scores_9_transpose_x_0, transpose_y = pos_scores_9_transpose_y_0, x = p_11_cast_fp16, y = pos_emb_7_to_fp16)[name = tensor<string, []>("pos_scores_9_cast_fp16")];
            tensor<int32, [2]> var_456 = const()[name = tensor<string, []>("op_456"), val = tensor<int32, [2]>([-1, 511])];
            tensor<fp16, [1024, 511]> pos_scores_11_cast_fp16 = reshape(shape = var_456, x = pos_scores_9_cast_fp16)[name = tensor<string, []>("pos_scores_11_cast_fp16")];
            tensor<bool, []> pos_scores_13_validate_indices_0 = const()[name = tensor<string, []>("pos_scores_13_validate_indices_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1024, 256]> pos_scores_13_cast_fp16_cast_uint16 = gather_along_axis(axis = var_31, indices = indexes_1_to_uint16, validate_indices = pos_scores_13_validate_indices_0, x = pos_scores_11_cast_fp16)[name = tensor<string, []>("pos_scores_13_cast_fp16_cast_uint16")];
            tensor<int32, [4]> var_459 = const()[name = tensor<string, []>("op_459"), val = tensor<int32, [4]>([4, 1, 256, 256])];
            tensor<fp16, [4, 1, 256, 256]> pos_scores_15_cast_fp16 = reshape(shape = var_459, x = pos_scores_13_cast_fp16_cast_uint16)[name = tensor<string, []>("pos_scores_15_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_7_cast_fp16 = add(x = attn_scores_5_cast_fp16, y = pos_scores_15_cast_fp16)[name = tensor<string, []>("attn_scores_7_cast_fp16")];
            tensor<fp16, []> cast_21_to_fp16 = const()[name = tensor<string, []>("cast_21_to_fp16"), val = tensor<fp16, []>(-0x1.f4p+9)];
            tensor<fp16, [4, 1, 256, 256]> x_89_cast_fp16 = select(a = cast_21_to_fp16, b = attn_scores_7_cast_fp16, cond = var_123)[name = tensor<string, []>("x_89_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> input_37_cast_fp16 = softmax(axis = var_24, x = x_89_cast_fp16)[name = tensor<string, []>("input_37_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_1_feed_forward1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2392896)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_1_feed_forward1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2540416)))];
            tensor<fp16, [256, 1, 384]> linear_21_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_feed_forward1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_feed_forward1_in_proj_weight_to_fp16, x = input_35_cast_fp16)[name = tensor<string, []>("linear_21_cast_fp16")];
            tensor<fp16, []> var_474_to_fp16 = const()[name = tensor<string, []>("op_474_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 384]> x_offset_11_cast_fp16 = sub(x = linear_21_cast_fp16, y = var_474_to_fp16)[name = tensor<string, []>("x_offset_11_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_476_cast_fp16 = exp(x = x_offset_11_cast_fp16)[name = tensor<string, []>("op_476_cast_fp16")];
            tensor<fp16, []> var_477_to_fp16 = const()[name = tensor<string, []>("op_477_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 384]> var_478_cast_fp16 = add(x = var_476_cast_fp16, y = var_477_to_fp16)[name = tensor<string, []>("op_478_cast_fp16")];
            tensor<fp32, []> var_479_epsilon_0 = const()[name = tensor<string, []>("op_479_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 384]> var_479_cast_fp16 = log(epsilon = var_479_epsilon_0, x = var_478_cast_fp16)[name = tensor<string, []>("op_479_cast_fp16")];
            tensor<bool, [256, 1, 384]> var_481_cast_fp16 = equal(x = var_479_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_481_cast_fp16")];
            tensor<fp16, [256, 1, 384]> log_sum_23_cast_fp16 = select(a = x_offset_11_cast_fp16, b = var_479_cast_fp16, cond = var_481_cast_fp16)[name = tensor<string, []>("log_sum_23_cast_fp16")];
            tensor<fp16, []> var_483_to_fp16 = const()[name = tensor<string, []>("op_483_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 384]> var_484_cast_fp16 = mul(x = linear_21_cast_fp16, y = var_483_to_fp16)[name = tensor<string, []>("op_484_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_485_cast_fp16 = sub(x = log_sum_23_cast_fp16, y = var_484_cast_fp16)[name = tensor<string, []>("op_485_cast_fp16")];
            tensor<fp16, []> var_486_to_fp16 = const()[name = tensor<string, []>("op_486_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 384]> x_95_cast_fp16 = sub(x = var_485_cast_fp16, y = var_486_to_fp16)[name = tensor<string, []>("x_95_cast_fp16")];
            tensor<fp16, [192, 384]> text_encoder_encoders_0_layers_1_feed_forward1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2541248)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_feed_forward1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2688768)))];
            tensor<fp16, [256, 1, 192]> linear_22_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_feed_forward1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_feed_forward1_out_proj_weight_to_fp16, x = x_95_cast_fp16)[name = tensor<string, []>("linear_22_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_39_cast_fp16 = add(x = input_35_cast_fp16, y = linear_22_cast_fp16)[name = tensor<string, []>("input_39_cast_fp16")];
            tensor<int32, [4]> attn_weights_7_begin_0 = const()[name = tensor<string, []>("attn_weights_7_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> attn_weights_7_end_0 = const()[name = tensor<string, []>("attn_weights_7_end_0"), val = tensor<int32, [4]>([1, 1, 256, 256])];
            tensor<bool, [4]> attn_weights_7_end_mask_0 = const()[name = tensor<string, []>("attn_weights_7_end_mask_0"), val = tensor<bool, [4]>([false, true, true, true])];
            tensor<fp16, [1, 1, 256, 256]> attn_weights_7_cast_fp16 = slice_by_index(begin = attn_weights_7_begin_0, end = attn_weights_7_end_0, end_mask = attn_weights_7_end_mask_0, x = input_37_cast_fp16)[name = tensor<string, []>("attn_weights_7_cast_fp16")];
            tensor<fp16, [432, 192]> text_encoder_encoders_0_layers_1_nonlin_attention_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_nonlin_attention_in_proj_weight_to_fp16"), val = tensor<fp16, [432, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2689216)))];
            tensor<fp16, [432]> text_encoder_encoders_0_layers_1_nonlin_attention_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_nonlin_attention_in_proj_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2855168)))];
            tensor<fp16, [256, 1, 432]> linear_23_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_nonlin_attention_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_nonlin_attention_in_proj_weight_to_fp16, x = input_39_cast_fp16)[name = tensor<string, []>("linear_23_cast_fp16")];
            tensor<int32, [3]> var_498_split_sizes_0 = const()[name = tensor<string, []>("op_498_split_sizes_0"), val = tensor<int32, [3]>([144, 144, 144])];
            tensor<int32, []> var_498_axis_0 = const()[name = tensor<string, []>("op_498_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 144]> var_498_cast_fp16_0, tensor<fp16, [256, 1, 144]> var_498_cast_fp16_1, tensor<fp16, [256, 1, 144]> var_498_cast_fp16_2 = split(axis = var_498_axis_0, split_sizes = var_498_split_sizes_0, x = linear_23_cast_fp16)[name = tensor<string, []>("op_498_cast_fp16")];
            tensor<fp16, [256, 1, 144]> s_9_cast_fp16 = tanh(x = var_498_cast_fp16_0)[name = tensor<string, []>("s_9_cast_fp16")];
            tensor<int32, [1]> var_502_axes_0 = const()[name = tensor<string, []>("op_502_axes_0"), val = tensor<int32, [1]>([-1])];
            tensor<fp16, [256, 1, 144, 1]> var_502_cast_fp16 = expand_dims(axes = var_502_axes_0, x = s_9_cast_fp16)[name = tensor<string, []>("op_502_cast_fp16")];
            tensor<int32, [3]> var_503 = const()[name = tensor<string, []>("op_503"), val = tensor<int32, [3]>([256, 1, 144])];
            tensor<fp16, [256, 1, 144]> s_11_cast_fp16 = reshape(shape = var_503, x = var_502_cast_fp16)[name = tensor<string, []>("s_11_cast_fp16")];
            tensor<fp16, [256, 1, 144]> x_101_cast_fp16 = mul(x = var_498_cast_fp16_1, y = s_11_cast_fp16)[name = tensor<string, []>("x_101_cast_fp16")];
            tensor<int32, [4]> var_509 = const()[name = tensor<string, []>("op_509"), val = tensor<int32, [4]>([256, 1, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_510_cast_fp16 = reshape(shape = var_509, x = x_101_cast_fp16)[name = tensor<string, []>("op_510_cast_fp16")];
            tensor<int32, [4]> var_511 = const()[name = tensor<string, []>("op_511"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_105_transpose_x_0 = const()[name = tensor<string, []>("x_105_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_105_transpose_y_0 = const()[name = tensor<string, []>("x_105_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 1, 256, 144]> x_103_cast_fp16 = transpose(perm = var_511, x = var_510_cast_fp16)[name = tensor<string, []>("transpose_60")];
            tensor<fp16, [1, 1, 256, 144]> x_105_cast_fp16 = matmul(transpose_x = x_105_transpose_x_0, transpose_y = x_105_transpose_y_0, x = attn_weights_7_cast_fp16, y = x_103_cast_fp16)[name = tensor<string, []>("x_105_cast_fp16")];
            tensor<int32, [4]> var_514 = const()[name = tensor<string, []>("op_514"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_516 = const()[name = tensor<string, []>("op_516"), val = tensor<int32, [3]>([256, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_515_cast_fp16 = transpose(perm = var_514, x = x_105_cast_fp16)[name = tensor<string, []>("transpose_59")];
            tensor<fp16, [256, 1, 144]> x_107_cast_fp16 = reshape(shape = var_516, x = var_515_cast_fp16)[name = tensor<string, []>("x_107_cast_fp16")];
            tensor<fp16, [256, 1, 144]> input_43_cast_fp16 = mul(x = x_107_cast_fp16, y = var_498_cast_fp16_2)[name = tensor<string, []>("input_43_cast_fp16")];
            tensor<fp16, [192, 144]> text_encoder_encoders_0_layers_1_nonlin_attention_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_nonlin_attention_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 144]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2856128)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_nonlin_attention_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_nonlin_attention_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2911488)))];
            tensor<fp16, [256, 1, 192]> linear_24_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_nonlin_attention_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_nonlin_attention_out_proj_weight_to_fp16, x = input_43_cast_fp16)[name = tensor<string, []>("linear_24_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_109_cast_fp16 = add(x = input_39_cast_fp16, y = linear_24_cast_fp16)[name = tensor<string, []>("x_109_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_1_self_attn1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn1_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2911936)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_1_self_attn1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn1_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2930432)))];
            tensor<fp16, [256, 1, 48]> linear_25_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_self_attn1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_self_attn1_in_proj_weight_to_fp16, x = x_109_cast_fp16)[name = tensor<string, []>("linear_25_cast_fp16")];
            tensor<int32, [4]> var_532 = const()[name = tensor<string, []>("op_532"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_533_cast_fp16 = reshape(shape = var_532, x = linear_25_cast_fp16)[name = tensor<string, []>("op_533_cast_fp16")];
            tensor<int32, [4]> var_534 = const()[name = tensor<string, []>("op_534"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_115_transpose_x_0 = const()[name = tensor<string, []>("x_115_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_115_transpose_y_0 = const()[name = tensor<string, []>("x_115_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_113_cast_fp16 = transpose(perm = var_534, x = var_533_cast_fp16)[name = tensor<string, []>("transpose_58")];
            tensor<fp16, [4, 1, 256, 12]> x_115_cast_fp16 = matmul(transpose_x = x_115_transpose_x_0, transpose_y = x_115_transpose_y_0, x = input_37_cast_fp16, y = x_113_cast_fp16)[name = tensor<string, []>("x_115_cast_fp16")];
            tensor<int32, [4]> var_539 = const()[name = tensor<string, []>("op_539"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_544 = const()[name = tensor<string, []>("op_544"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_540_cast_fp16 = transpose(perm = var_539, x = x_115_cast_fp16)[name = tensor<string, []>("transpose_57")];
            tensor<fp16, [256, 1, 48]> input_45_cast_fp16 = reshape(shape = var_544, x = var_540_cast_fp16)[name = tensor<string, []>("input_45_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_1_self_attn1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2930624)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_self_attn1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2949120)))];
            tensor<fp16, [256, 1, 192]> linear_26_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_self_attn1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_self_attn1_out_proj_weight_to_fp16, x = input_45_cast_fp16)[name = tensor<string, []>("linear_26_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_47_cast_fp16 = add(x = x_109_cast_fp16, y = linear_26_cast_fp16)[name = tensor<string, []>("input_47_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_1_conv_module1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2949568)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_1_conv_module1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3097088)))];
            tensor<fp16, [256, 1, 384]> linear_27_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_conv_module1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_conv_module1_in_proj_weight_to_fp16, x = input_47_cast_fp16)[name = tensor<string, []>("linear_27_cast_fp16")];
            tensor<int32, [2]> var_556_split_sizes_0 = const()[name = tensor<string, []>("op_556_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_556_axis_0 = const()[name = tensor<string, []>("op_556_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_556_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_556_cast_fp16_1 = split(axis = var_556_axis_0, split_sizes = var_556_split_sizes_0, x = linear_27_cast_fp16)[name = tensor<string, []>("op_556_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_13_cast_fp16 = sigmoid(x = var_556_cast_fp16_1)[name = tensor<string, []>("s_13_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_121_cast_fp16 = mul(x = var_556_cast_fp16_0, y = s_13_cast_fp16)[name = tensor<string, []>("x_121_cast_fp16")];
            tensor<int32, [3]> var_560 = const()[name = tensor<string, []>("op_560"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_123_cast_fp16 = transpose(perm = var_560, x = x_121_cast_fp16)[name = tensor<string, []>("transpose_56")];
            tensor<fp16, [1, 192, 256]> input_51_cast_fp16 = select(a = var_28_to_fp16, b = x_123_cast_fp16, cond = var_224)[name = tensor<string, []>("input_51_cast_fp16")];
            tensor<string, []> x_125_pad_type_0 = const()[name = tensor<string, []>("x_125_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_125_pad_0 = const()[name = tensor<string, []>("x_125_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_125_groups_0 = const()[name = tensor<string, []>("x_125_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_125_strides_0 = const()[name = tensor<string, []>("x_125_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_125_dilations_0 = const()[name = tensor<string, []>("x_125_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_1_conv_module1_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module1_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3097920)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_conv_module1_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module1_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3101440)))];
            tensor<fp16, [1, 192, 256]> x_125_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_1_conv_module1_depthwise_conv_bias_to_fp16, dilations = x_125_dilations_0, groups = x_125_groups_0, pad = x_125_pad_0, pad_type = x_125_pad_type_0, strides = x_125_strides_0, weight = text_encoder_encoders_0_layers_1_conv_module1_depthwise_conv_weight_to_fp16, x = input_51_cast_fp16)[name = tensor<string, []>("x_125_cast_fp16")];
            tensor<int32, [3]> var_572 = const()[name = tensor<string, []>("op_572"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_577_to_fp16 = const()[name = tensor<string, []>("op_577_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_127_cast_fp16 = transpose(perm = var_572, x = x_125_cast_fp16)[name = tensor<string, []>("transpose_55")];
            tensor<fp16, [256, 1, 192]> x_offset_13_cast_fp16 = sub(x = x_127_cast_fp16, y = var_577_to_fp16)[name = tensor<string, []>("x_offset_13_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_579_cast_fp16 = exp(x = x_offset_13_cast_fp16)[name = tensor<string, []>("op_579_cast_fp16")];
            tensor<fp16, []> var_580_to_fp16 = const()[name = tensor<string, []>("op_580_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_581_cast_fp16 = add(x = var_579_cast_fp16, y = var_580_to_fp16)[name = tensor<string, []>("op_581_cast_fp16")];
            tensor<fp32, []> var_582_epsilon_0 = const()[name = tensor<string, []>("op_582_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_582_cast_fp16 = log(epsilon = var_582_epsilon_0, x = var_581_cast_fp16)[name = tensor<string, []>("op_582_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_584_cast_fp16 = equal(x = var_582_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_584_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_27_cast_fp16 = select(a = x_offset_13_cast_fp16, b = var_582_cast_fp16, cond = var_584_cast_fp16)[name = tensor<string, []>("log_sum_27_cast_fp16")];
            tensor<fp16, []> var_586_to_fp16 = const()[name = tensor<string, []>("op_586_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_587_cast_fp16 = mul(x = x_127_cast_fp16, y = var_586_to_fp16)[name = tensor<string, []>("op_587_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_588_cast_fp16 = sub(x = log_sum_27_cast_fp16, y = var_587_cast_fp16)[name = tensor<string, []>("op_588_cast_fp16")];
            tensor<fp16, []> var_589_to_fp16 = const()[name = tensor<string, []>("op_589_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_131_cast_fp16 = sub(x = var_588_cast_fp16, y = var_589_to_fp16)[name = tensor<string, []>("x_131_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_1_conv_module1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3101888)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_conv_module1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3175680)))];
            tensor<fp16, [256, 1, 192]> linear_28_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_conv_module1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_conv_module1_out_proj_weight_to_fp16, x = x_131_cast_fp16)[name = tensor<string, []>("linear_28_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_53_cast_fp16 = add(x = input_47_cast_fp16, y = linear_28_cast_fp16)[name = tensor<string, []>("input_53_cast_fp16")];
            tensor<fp16, [512, 192]> text_encoder_encoders_0_layers_1_feed_forward2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward2_in_proj_weight_to_fp16"), val = tensor<fp16, [512, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3176128)))];
            tensor<fp16, [512]> text_encoder_encoders_0_layers_1_feed_forward2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward2_in_proj_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3372800)))];
            tensor<fp16, [256, 1, 512]> linear_29_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_feed_forward2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_feed_forward2_in_proj_weight_to_fp16, x = input_53_cast_fp16)[name = tensor<string, []>("linear_29_cast_fp16")];
            tensor<fp16, []> var_601_to_fp16 = const()[name = tensor<string, []>("op_601_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 512]> x_offset_15_cast_fp16 = sub(x = linear_29_cast_fp16, y = var_601_to_fp16)[name = tensor<string, []>("x_offset_15_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_603_cast_fp16 = exp(x = x_offset_15_cast_fp16)[name = tensor<string, []>("op_603_cast_fp16")];
            tensor<fp16, []> var_604_to_fp16 = const()[name = tensor<string, []>("op_604_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 512]> var_605_cast_fp16 = add(x = var_603_cast_fp16, y = var_604_to_fp16)[name = tensor<string, []>("op_605_cast_fp16")];
            tensor<fp32, []> var_606_epsilon_0 = const()[name = tensor<string, []>("op_606_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 512]> var_606_cast_fp16 = log(epsilon = var_606_epsilon_0, x = var_605_cast_fp16)[name = tensor<string, []>("op_606_cast_fp16")];
            tensor<bool, [256, 1, 512]> var_608_cast_fp16 = equal(x = var_606_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_608_cast_fp16")];
            tensor<fp16, [256, 1, 512]> log_sum_31_cast_fp16 = select(a = x_offset_15_cast_fp16, b = var_606_cast_fp16, cond = var_608_cast_fp16)[name = tensor<string, []>("log_sum_31_cast_fp16")];
            tensor<fp16, []> var_610_to_fp16 = const()[name = tensor<string, []>("op_610_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 512]> var_611_cast_fp16 = mul(x = linear_29_cast_fp16, y = var_610_to_fp16)[name = tensor<string, []>("op_611_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_612_cast_fp16 = sub(x = log_sum_31_cast_fp16, y = var_611_cast_fp16)[name = tensor<string, []>("op_612_cast_fp16")];
            tensor<fp16, []> var_613_to_fp16 = const()[name = tensor<string, []>("op_613_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 512]> x_137_cast_fp16 = sub(x = var_612_cast_fp16, y = var_613_to_fp16)[name = tensor<string, []>("x_137_cast_fp16")];
            tensor<fp16, [192, 512]> text_encoder_encoders_0_layers_1_feed_forward2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3373888)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_feed_forward2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3570560)))];
            tensor<fp16, [256, 1, 192]> linear_30_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_feed_forward2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_feed_forward2_out_proj_weight_to_fp16, x = x_137_cast_fp16)[name = tensor<string, []>("linear_30_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_5_cast_fp16 = add(x = input_53_cast_fp16, y = linear_30_cast_fp16)[name = tensor<string, []>("src_5_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_618_cast_fp16 = sub(x = src_5_cast_fp16, y = input_35_cast_fp16)[name = tensor<string, []>("op_618_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_bypass_mid_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_bypass_mid_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3571008)))];
            tensor<fp16, [256, 1, 192]> var_619_cast_fp16 = mul(x = var_618_cast_fp16, y = text_encoder_encoders_0_layers_1_bypass_mid_bypass_scale_to_fp16)[name = tensor<string, []>("op_619_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_139_cast_fp16 = add(x = input_35_cast_fp16, y = var_619_cast_fp16)[name = tensor<string, []>("x_139_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_1_self_attn2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn2_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3571456)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_1_self_attn2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn2_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3589952)))];
            tensor<fp16, [256, 1, 48]> linear_31_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_self_attn2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_self_attn2_in_proj_weight_to_fp16, x = x_139_cast_fp16)[name = tensor<string, []>("linear_31_cast_fp16")];
            tensor<int32, [4]> var_630 = const()[name = tensor<string, []>("op_630"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_631_cast_fp16 = reshape(shape = var_630, x = linear_31_cast_fp16)[name = tensor<string, []>("op_631_cast_fp16")];
            tensor<int32, [4]> var_632 = const()[name = tensor<string, []>("op_632"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_145_transpose_x_0 = const()[name = tensor<string, []>("x_145_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_145_transpose_y_0 = const()[name = tensor<string, []>("x_145_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_143_cast_fp16 = transpose(perm = var_632, x = var_631_cast_fp16)[name = tensor<string, []>("transpose_54")];
            tensor<fp16, [4, 1, 256, 12]> x_145_cast_fp16 = matmul(transpose_x = x_145_transpose_x_0, transpose_y = x_145_transpose_y_0, x = input_37_cast_fp16, y = x_143_cast_fp16)[name = tensor<string, []>("x_145_cast_fp16")];
            tensor<int32, [4]> var_637 = const()[name = tensor<string, []>("op_637"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_642 = const()[name = tensor<string, []>("op_642"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_638_cast_fp16 = transpose(perm = var_637, x = x_145_cast_fp16)[name = tensor<string, []>("transpose_53")];
            tensor<fp16, [256, 1, 48]> input_55_cast_fp16 = reshape(shape = var_642, x = var_638_cast_fp16)[name = tensor<string, []>("input_55_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_1_self_attn2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3590144)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_self_attn2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_self_attn2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3608640)))];
            tensor<fp16, [256, 1, 192]> linear_32_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_self_attn2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_self_attn2_out_proj_weight_to_fp16, x = input_55_cast_fp16)[name = tensor<string, []>("linear_32_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_57_cast_fp16 = add(x = x_139_cast_fp16, y = linear_32_cast_fp16)[name = tensor<string, []>("input_57_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_1_conv_module2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module2_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3609088)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_1_conv_module2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module2_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3756608)))];
            tensor<fp16, [256, 1, 384]> linear_33_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_conv_module2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_conv_module2_in_proj_weight_to_fp16, x = input_57_cast_fp16)[name = tensor<string, []>("linear_33_cast_fp16")];
            tensor<int32, [2]> var_654_split_sizes_0 = const()[name = tensor<string, []>("op_654_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_654_axis_0 = const()[name = tensor<string, []>("op_654_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_654_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_654_cast_fp16_1 = split(axis = var_654_axis_0, split_sizes = var_654_split_sizes_0, x = linear_33_cast_fp16)[name = tensor<string, []>("op_654_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_15_cast_fp16 = sigmoid(x = var_654_cast_fp16_1)[name = tensor<string, []>("s_15_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_151_cast_fp16 = mul(x = var_654_cast_fp16_0, y = s_15_cast_fp16)[name = tensor<string, []>("x_151_cast_fp16")];
            tensor<int32, [3]> var_658 = const()[name = tensor<string, []>("op_658"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_153_cast_fp16 = transpose(perm = var_658, x = x_151_cast_fp16)[name = tensor<string, []>("transpose_52")];
            tensor<fp16, [1, 192, 256]> input_61_cast_fp16 = select(a = var_28_to_fp16, b = x_153_cast_fp16, cond = var_224)[name = tensor<string, []>("input_61_cast_fp16")];
            tensor<string, []> x_155_pad_type_0 = const()[name = tensor<string, []>("x_155_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_155_pad_0 = const()[name = tensor<string, []>("x_155_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_155_groups_0 = const()[name = tensor<string, []>("x_155_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_155_strides_0 = const()[name = tensor<string, []>("x_155_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_155_dilations_0 = const()[name = tensor<string, []>("x_155_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_1_conv_module2_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module2_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3757440)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_conv_module2_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module2_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3760960)))];
            tensor<fp16, [1, 192, 256]> x_155_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_1_conv_module2_depthwise_conv_bias_to_fp16, dilations = x_155_dilations_0, groups = x_155_groups_0, pad = x_155_pad_0, pad_type = x_155_pad_type_0, strides = x_155_strides_0, weight = text_encoder_encoders_0_layers_1_conv_module2_depthwise_conv_weight_to_fp16, x = input_61_cast_fp16)[name = tensor<string, []>("x_155_cast_fp16")];
            tensor<int32, [3]> var_670 = const()[name = tensor<string, []>("op_670"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_675_to_fp16 = const()[name = tensor<string, []>("op_675_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_157_cast_fp16 = transpose(perm = var_670, x = x_155_cast_fp16)[name = tensor<string, []>("transpose_51")];
            tensor<fp16, [256, 1, 192]> x_offset_17_cast_fp16 = sub(x = x_157_cast_fp16, y = var_675_to_fp16)[name = tensor<string, []>("x_offset_17_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_677_cast_fp16 = exp(x = x_offset_17_cast_fp16)[name = tensor<string, []>("op_677_cast_fp16")];
            tensor<fp16, []> var_678_to_fp16 = const()[name = tensor<string, []>("op_678_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_679_cast_fp16 = add(x = var_677_cast_fp16, y = var_678_to_fp16)[name = tensor<string, []>("op_679_cast_fp16")];
            tensor<fp32, []> var_680_epsilon_0 = const()[name = tensor<string, []>("op_680_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_680_cast_fp16 = log(epsilon = var_680_epsilon_0, x = var_679_cast_fp16)[name = tensor<string, []>("op_680_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_682_cast_fp16 = equal(x = var_680_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_682_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_35_cast_fp16 = select(a = x_offset_17_cast_fp16, b = var_680_cast_fp16, cond = var_682_cast_fp16)[name = tensor<string, []>("log_sum_35_cast_fp16")];
            tensor<fp16, []> var_684_to_fp16 = const()[name = tensor<string, []>("op_684_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_685_cast_fp16 = mul(x = x_157_cast_fp16, y = var_684_to_fp16)[name = tensor<string, []>("op_685_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_686_cast_fp16 = sub(x = log_sum_35_cast_fp16, y = var_685_cast_fp16)[name = tensor<string, []>("op_686_cast_fp16")];
            tensor<fp16, []> var_687_to_fp16 = const()[name = tensor<string, []>("op_687_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_161_cast_fp16 = sub(x = var_686_cast_fp16, y = var_687_to_fp16)[name = tensor<string, []>("x_161_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_1_conv_module2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3761408)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_conv_module2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_conv_module2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3835200)))];
            tensor<fp16, [256, 1, 192]> linear_34_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_conv_module2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_conv_module2_out_proj_weight_to_fp16, x = x_161_cast_fp16)[name = tensor<string, []>("linear_34_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_63_cast_fp16 = add(x = input_57_cast_fp16, y = linear_34_cast_fp16)[name = tensor<string, []>("input_63_cast_fp16")];
            tensor<fp16, [640, 192]> text_encoder_encoders_0_layers_1_feed_forward3_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward3_in_proj_weight_to_fp16"), val = tensor<fp16, [640, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3835648)))];
            tensor<fp16, [640]> text_encoder_encoders_0_layers_1_feed_forward3_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward3_in_proj_bias_to_fp16"), val = tensor<fp16, [640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4081472)))];
            tensor<fp16, [256, 1, 640]> linear_35_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_feed_forward3_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_feed_forward3_in_proj_weight_to_fp16, x = input_63_cast_fp16)[name = tensor<string, []>("linear_35_cast_fp16")];
            tensor<fp16, []> var_699_to_fp16 = const()[name = tensor<string, []>("op_699_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 640]> x_offset_19_cast_fp16 = sub(x = linear_35_cast_fp16, y = var_699_to_fp16)[name = tensor<string, []>("x_offset_19_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_701_cast_fp16 = exp(x = x_offset_19_cast_fp16)[name = tensor<string, []>("op_701_cast_fp16")];
            tensor<fp16, []> var_702_to_fp16 = const()[name = tensor<string, []>("op_702_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 640]> var_703_cast_fp16 = add(x = var_701_cast_fp16, y = var_702_to_fp16)[name = tensor<string, []>("op_703_cast_fp16")];
            tensor<fp32, []> var_704_epsilon_0 = const()[name = tensor<string, []>("op_704_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 640]> var_704_cast_fp16 = log(epsilon = var_704_epsilon_0, x = var_703_cast_fp16)[name = tensor<string, []>("op_704_cast_fp16")];
            tensor<bool, [256, 1, 640]> var_706_cast_fp16 = equal(x = var_704_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_706_cast_fp16")];
            tensor<fp16, [256, 1, 640]> log_sum_39_cast_fp16 = select(a = x_offset_19_cast_fp16, b = var_704_cast_fp16, cond = var_706_cast_fp16)[name = tensor<string, []>("log_sum_39_cast_fp16")];
            tensor<fp16, []> var_708_to_fp16 = const()[name = tensor<string, []>("op_708_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 640]> var_709_cast_fp16 = mul(x = linear_35_cast_fp16, y = var_708_to_fp16)[name = tensor<string, []>("op_709_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_710_cast_fp16 = sub(x = log_sum_39_cast_fp16, y = var_709_cast_fp16)[name = tensor<string, []>("op_710_cast_fp16")];
            tensor<fp16, []> var_711_to_fp16 = const()[name = tensor<string, []>("op_711_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 640]> x_167_cast_fp16 = sub(x = var_710_cast_fp16, y = var_711_to_fp16)[name = tensor<string, []>("x_167_cast_fp16")];
            tensor<fp16, [192, 640]> text_encoder_encoders_0_layers_1_feed_forward3_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward3_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4082816)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_feed_forward3_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_feed_forward3_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4328640)))];
            tensor<fp16, [256, 1, 192]> linear_36_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_1_feed_forward3_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_1_feed_forward3_out_proj_weight_to_fp16, x = x_167_cast_fp16)[name = tensor<string, []>("linear_36_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_169_cast_fp16 = add(x = input_63_cast_fp16, y = linear_36_cast_fp16)[name = tensor<string, []>("x_169_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_norm_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_norm_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4329088)))];
            tensor<fp16, [256, 1, 192]> var_717_cast_fp16 = sub(x = x_169_cast_fp16, y = text_encoder_encoders_0_layers_1_norm_bias_to_fp16)[name = tensor<string, []>("op_717_cast_fp16")];
            tensor<fp16, []> var_29_promoted_1_to_fp16 = const()[name = tensor<string, []>("op_29_promoted_1_to_fp16"), val = tensor<fp16, []>(0x1p+1)];
            tensor<fp16, [256, 1, 192]> var_718_cast_fp16 = pow(x = var_717_cast_fp16, y = var_29_promoted_1_to_fp16)[name = tensor<string, []>("op_718_cast_fp16")];
            tensor<int32, [1]> var_720_axes_0 = const()[name = tensor<string, []>("op_720_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<bool, []> var_720_keep_dims_0 = const()[name = tensor<string, []>("op_720_keep_dims_0"), val = tensor<bool, []>(true)];
            tensor<fp16, [256, 1, 1]> var_720_cast_fp16 = reduce_mean(axes = var_720_axes_0, keep_dims = var_720_keep_dims_0, x = var_718_cast_fp16)[name = tensor<string, []>("op_720_cast_fp16")];
            tensor<fp16, [256, 1, 1]> var_721_cast_fp16 = pow(x = var_720_cast_fp16, y = var_12_to_fp16)[name = tensor<string, []>("op_721_cast_fp16")];
            tensor<fp16, []> var_722_to_fp16 = const()[name = tensor<string, []>("op_722_to_fp16"), val = tensor<fp16, []>(0x1.1ecp+2)];
            tensor<fp16, [256, 1, 1]> scales_3_cast_fp16 = mul(x = var_721_cast_fp16, y = var_722_to_fp16)[name = tensor<string, []>("scales_3_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_7_cast_fp16 = mul(x = x_169_cast_fp16, y = scales_3_cast_fp16)[name = tensor<string, []>("src_7_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_726_cast_fp16 = sub(x = src_7_cast_fp16, y = input_35_cast_fp16)[name = tensor<string, []>("op_726_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_1_bypass_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_1_bypass_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4329536)))];
            tensor<fp16, [256, 1, 192]> var_727_cast_fp16 = mul(x = var_726_cast_fp16, y = text_encoder_encoders_0_layers_1_bypass_bypass_scale_to_fp16)[name = tensor<string, []>("op_727_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_65_cast_fp16 = add(x = input_35_cast_fp16, y = var_727_cast_fp16)[name = tensor<string, []>("input_65_cast_fp16")];
            tensor<fp16, [272, 192]> text_encoder_encoders_0_layers_2_self_attn_weights_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn_weights_in_proj_weight_to_fp16"), val = tensor<fp16, [272, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4329984)))];
            tensor<fp16, [272]> text_encoder_encoders_0_layers_2_self_attn_weights_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn_weights_in_proj_bias_to_fp16"), val = tensor<fp16, [272]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4434496)))];
            tensor<fp16, [256, 1, 272]> linear_37_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_self_attn_weights_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_self_attn_weights_in_proj_weight_to_fp16, x = input_65_cast_fp16)[name = tensor<string, []>("linear_37_cast_fp16")];
            tensor<int32, [3]> q_13_begin_0 = const()[name = tensor<string, []>("q_13_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> q_13_end_0 = const()[name = tensor<string, []>("q_13_end_0"), val = tensor<int32, [3]>([256, 1, 128])];
            tensor<bool, [3]> q_13_end_mask_0 = const()[name = tensor<string, []>("q_13_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> q_13_cast_fp16 = slice_by_index(begin = q_13_begin_0, end = q_13_end_0, end_mask = q_13_end_mask_0, x = linear_37_cast_fp16)[name = tensor<string, []>("q_13_cast_fp16")];
            tensor<int32, [3]> k_13_begin_0 = const()[name = tensor<string, []>("k_13_begin_0"), val = tensor<int32, [3]>([0, 0, 128])];
            tensor<int32, [3]> k_13_end_0 = const()[name = tensor<string, []>("k_13_end_0"), val = tensor<int32, [3]>([256, 1, 256])];
            tensor<bool, [3]> k_13_end_mask_0 = const()[name = tensor<string, []>("k_13_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> k_13_cast_fp16 = slice_by_index(begin = k_13_begin_0, end = k_13_end_0, end_mask = k_13_end_mask_0, x = linear_37_cast_fp16)[name = tensor<string, []>("k_13_cast_fp16")];
            tensor<int32, [3]> p_13_begin_0 = const()[name = tensor<string, []>("p_13_begin_0"), val = tensor<int32, [3]>([0, 0, 256])];
            tensor<int32, [3]> p_13_end_0 = const()[name = tensor<string, []>("p_13_end_0"), val = tensor<int32, [3]>([256, 1, 272])];
            tensor<bool, [3]> p_13_end_mask_0 = const()[name = tensor<string, []>("p_13_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [256, 1, 16]> p_13_cast_fp16 = slice_by_index(begin = p_13_begin_0, end = p_13_end_0, end_mask = p_13_end_mask_0, x = linear_37_cast_fp16)[name = tensor<string, []>("p_13_cast_fp16")];
            tensor<int32, [4]> var_752 = const()[name = tensor<string, []>("op_752"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> q_15_cast_fp16 = reshape(shape = var_752, x = q_13_cast_fp16)[name = tensor<string, []>("q_15_cast_fp16")];
            tensor<int32, [4]> var_754 = const()[name = tensor<string, []>("op_754"), val = tensor<int32, [4]>([256, 1, 4, 4])];
            tensor<fp16, [256, 1, 4, 4]> p_15_cast_fp16 = reshape(shape = var_754, x = p_13_cast_fp16)[name = tensor<string, []>("p_15_cast_fp16")];
            tensor<int32, [4]> var_756 = const()[name = tensor<string, []>("op_756"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> k_15_cast_fp16 = reshape(shape = var_756, x = k_13_cast_fp16)[name = tensor<string, []>("k_15_cast_fp16")];
            tensor<int32, [4]> var_760 = const()[name = tensor<string, []>("op_760"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> attn_scores_9_transpose_x_0 = const()[name = tensor<string, []>("attn_scores_9_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> attn_scores_9_transpose_y_0 = const()[name = tensor<string, []>("attn_scores_9_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<int32, [4]> transpose_20_perm_0 = const()[name = tensor<string, []>("transpose_20_perm_0"), val = tensor<int32, [4]>([2, 1, -4, -1])];
            tensor<int32, [4]> transpose_21_perm_0 = const()[name = tensor<string, []>("transpose_21_perm_0"), val = tensor<int32, [4]>([2, 1, -1, -4])];
            tensor<fp16, [4, 1, 32, 256]> transpose_21 = transpose(perm = transpose_21_perm_0, x = k_15_cast_fp16)[name = tensor<string, []>("transpose_48")];
            tensor<fp16, [4, 1, 256, 32]> transpose_20 = transpose(perm = transpose_20_perm_0, x = q_15_cast_fp16)[name = tensor<string, []>("transpose_49")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_9_cast_fp16 = matmul(transpose_x = attn_scores_9_transpose_x_0, transpose_y = attn_scores_9_transpose_y_0, x = transpose_20, y = transpose_21)[name = tensor<string, []>("attn_scores_9_cast_fp16")];
            tensor<bool, []> pos_scores_17_transpose_x_0 = const()[name = tensor<string, []>("pos_scores_17_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> pos_scores_17_transpose_y_0 = const()[name = tensor<string, []>("pos_scores_17_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 4, 511]> pos_emb_11_to_fp16 = const()[name = tensor<string, []>("pos_emb_11_to_fp16"), val = tensor<fp16, [4, 1, 4, 511]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4435136)))];
            tensor<fp16, [4, 1, 256, 4]> p_17_cast_fp16 = transpose(perm = var_760, x = p_15_cast_fp16)[name = tensor<string, []>("transpose_50")];
            tensor<fp16, [4, 1, 256, 511]> pos_scores_17_cast_fp16 = matmul(transpose_x = pos_scores_17_transpose_x_0, transpose_y = pos_scores_17_transpose_y_0, x = p_17_cast_fp16, y = pos_emb_11_to_fp16)[name = tensor<string, []>("pos_scores_17_cast_fp16")];
            tensor<int32, [2]> var_795 = const()[name = tensor<string, []>("op_795"), val = tensor<int32, [2]>([-1, 511])];
            tensor<fp16, [1024, 511]> pos_scores_19_cast_fp16 = reshape(shape = var_795, x = pos_scores_17_cast_fp16)[name = tensor<string, []>("pos_scores_19_cast_fp16")];
            tensor<bool, []> pos_scores_21_validate_indices_0 = const()[name = tensor<string, []>("pos_scores_21_validate_indices_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1024, 256]> pos_scores_21_cast_fp16_cast_uint16 = gather_along_axis(axis = var_31, indices = indexes_1_to_uint16, validate_indices = pos_scores_21_validate_indices_0, x = pos_scores_19_cast_fp16)[name = tensor<string, []>("pos_scores_21_cast_fp16_cast_uint16")];
            tensor<int32, [4]> var_798 = const()[name = tensor<string, []>("op_798"), val = tensor<int32, [4]>([4, 1, 256, 256])];
            tensor<fp16, [4, 1, 256, 256]> pos_scores_23_cast_fp16 = reshape(shape = var_798, x = pos_scores_21_cast_fp16_cast_uint16)[name = tensor<string, []>("pos_scores_23_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_11_cast_fp16 = add(x = attn_scores_9_cast_fp16, y = pos_scores_23_cast_fp16)[name = tensor<string, []>("attn_scores_11_cast_fp16")];
            tensor<fp16, []> cast_35_to_fp16 = const()[name = tensor<string, []>("cast_35_to_fp16"), val = tensor<fp16, []>(-0x1.f4p+9)];
            tensor<fp16, [4, 1, 256, 256]> x_173_cast_fp16 = select(a = cast_35_to_fp16, b = attn_scores_11_cast_fp16, cond = var_123)[name = tensor<string, []>("x_173_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> input_67_cast_fp16 = softmax(axis = var_24, x = x_173_cast_fp16)[name = tensor<string, []>("input_67_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_2_feed_forward1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4451584)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_2_feed_forward1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4599104)))];
            tensor<fp16, [256, 1, 384]> linear_39_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_feed_forward1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_feed_forward1_in_proj_weight_to_fp16, x = input_65_cast_fp16)[name = tensor<string, []>("linear_39_cast_fp16")];
            tensor<fp16, []> var_813_to_fp16 = const()[name = tensor<string, []>("op_813_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 384]> x_offset_21_cast_fp16 = sub(x = linear_39_cast_fp16, y = var_813_to_fp16)[name = tensor<string, []>("x_offset_21_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_815_cast_fp16 = exp(x = x_offset_21_cast_fp16)[name = tensor<string, []>("op_815_cast_fp16")];
            tensor<fp16, []> var_816_to_fp16 = const()[name = tensor<string, []>("op_816_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 384]> var_817_cast_fp16 = add(x = var_815_cast_fp16, y = var_816_to_fp16)[name = tensor<string, []>("op_817_cast_fp16")];
            tensor<fp32, []> var_818_epsilon_0 = const()[name = tensor<string, []>("op_818_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 384]> var_818_cast_fp16 = log(epsilon = var_818_epsilon_0, x = var_817_cast_fp16)[name = tensor<string, []>("op_818_cast_fp16")];
            tensor<bool, [256, 1, 384]> var_820_cast_fp16 = equal(x = var_818_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_820_cast_fp16")];
            tensor<fp16, [256, 1, 384]> log_sum_43_cast_fp16 = select(a = x_offset_21_cast_fp16, b = var_818_cast_fp16, cond = var_820_cast_fp16)[name = tensor<string, []>("log_sum_43_cast_fp16")];
            tensor<fp16, []> var_822_to_fp16 = const()[name = tensor<string, []>("op_822_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 384]> var_823_cast_fp16 = mul(x = linear_39_cast_fp16, y = var_822_to_fp16)[name = tensor<string, []>("op_823_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_824_cast_fp16 = sub(x = log_sum_43_cast_fp16, y = var_823_cast_fp16)[name = tensor<string, []>("op_824_cast_fp16")];
            tensor<fp16, []> var_825_to_fp16 = const()[name = tensor<string, []>("op_825_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 384]> x_179_cast_fp16 = sub(x = var_824_cast_fp16, y = var_825_to_fp16)[name = tensor<string, []>("x_179_cast_fp16")];
            tensor<fp16, [192, 384]> text_encoder_encoders_0_layers_2_feed_forward1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4599936)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_feed_forward1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4747456)))];
            tensor<fp16, [256, 1, 192]> linear_40_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_feed_forward1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_feed_forward1_out_proj_weight_to_fp16, x = x_179_cast_fp16)[name = tensor<string, []>("linear_40_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_69_cast_fp16 = add(x = input_65_cast_fp16, y = linear_40_cast_fp16)[name = tensor<string, []>("input_69_cast_fp16")];
            tensor<int32, [4]> attn_weights_11_begin_0 = const()[name = tensor<string, []>("attn_weights_11_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> attn_weights_11_end_0 = const()[name = tensor<string, []>("attn_weights_11_end_0"), val = tensor<int32, [4]>([1, 1, 256, 256])];
            tensor<bool, [4]> attn_weights_11_end_mask_0 = const()[name = tensor<string, []>("attn_weights_11_end_mask_0"), val = tensor<bool, [4]>([false, true, true, true])];
            tensor<fp16, [1, 1, 256, 256]> attn_weights_11_cast_fp16 = slice_by_index(begin = attn_weights_11_begin_0, end = attn_weights_11_end_0, end_mask = attn_weights_11_end_mask_0, x = input_67_cast_fp16)[name = tensor<string, []>("attn_weights_11_cast_fp16")];
            tensor<fp16, [432, 192]> text_encoder_encoders_0_layers_2_nonlin_attention_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_nonlin_attention_in_proj_weight_to_fp16"), val = tensor<fp16, [432, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4747904)))];
            tensor<fp16, [432]> text_encoder_encoders_0_layers_2_nonlin_attention_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_nonlin_attention_in_proj_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4913856)))];
            tensor<fp16, [256, 1, 432]> linear_41_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_nonlin_attention_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_nonlin_attention_in_proj_weight_to_fp16, x = input_69_cast_fp16)[name = tensor<string, []>("linear_41_cast_fp16")];
            tensor<int32, [3]> var_837_split_sizes_0 = const()[name = tensor<string, []>("op_837_split_sizes_0"), val = tensor<int32, [3]>([144, 144, 144])];
            tensor<int32, []> var_837_axis_0 = const()[name = tensor<string, []>("op_837_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 144]> var_837_cast_fp16_0, tensor<fp16, [256, 1, 144]> var_837_cast_fp16_1, tensor<fp16, [256, 1, 144]> var_837_cast_fp16_2 = split(axis = var_837_axis_0, split_sizes = var_837_split_sizes_0, x = linear_41_cast_fp16)[name = tensor<string, []>("op_837_cast_fp16")];
            tensor<fp16, [256, 1, 144]> s_17_cast_fp16 = tanh(x = var_837_cast_fp16_0)[name = tensor<string, []>("s_17_cast_fp16")];
            tensor<int32, [1]> var_841_axes_0 = const()[name = tensor<string, []>("op_841_axes_0"), val = tensor<int32, [1]>([-1])];
            tensor<fp16, [256, 1, 144, 1]> var_841_cast_fp16 = expand_dims(axes = var_841_axes_0, x = s_17_cast_fp16)[name = tensor<string, []>("op_841_cast_fp16")];
            tensor<int32, [3]> var_842 = const()[name = tensor<string, []>("op_842"), val = tensor<int32, [3]>([256, 1, 144])];
            tensor<fp16, [256, 1, 144]> s_19_cast_fp16 = reshape(shape = var_842, x = var_841_cast_fp16)[name = tensor<string, []>("s_19_cast_fp16")];
            tensor<fp16, [256, 1, 144]> x_185_cast_fp16 = mul(x = var_837_cast_fp16_1, y = s_19_cast_fp16)[name = tensor<string, []>("x_185_cast_fp16")];
            tensor<int32, [4]> var_848 = const()[name = tensor<string, []>("op_848"), val = tensor<int32, [4]>([256, 1, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_849_cast_fp16 = reshape(shape = var_848, x = x_185_cast_fp16)[name = tensor<string, []>("op_849_cast_fp16")];
            tensor<int32, [4]> var_850 = const()[name = tensor<string, []>("op_850"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_189_transpose_x_0 = const()[name = tensor<string, []>("x_189_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_189_transpose_y_0 = const()[name = tensor<string, []>("x_189_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 1, 256, 144]> x_187_cast_fp16 = transpose(perm = var_850, x = var_849_cast_fp16)[name = tensor<string, []>("transpose_47")];
            tensor<fp16, [1, 1, 256, 144]> x_189_cast_fp16 = matmul(transpose_x = x_189_transpose_x_0, transpose_y = x_189_transpose_y_0, x = attn_weights_11_cast_fp16, y = x_187_cast_fp16)[name = tensor<string, []>("x_189_cast_fp16")];
            tensor<int32, [4]> var_853 = const()[name = tensor<string, []>("op_853"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_855 = const()[name = tensor<string, []>("op_855"), val = tensor<int32, [3]>([256, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_854_cast_fp16 = transpose(perm = var_853, x = x_189_cast_fp16)[name = tensor<string, []>("transpose_46")];
            tensor<fp16, [256, 1, 144]> x_191_cast_fp16 = reshape(shape = var_855, x = var_854_cast_fp16)[name = tensor<string, []>("x_191_cast_fp16")];
            tensor<fp16, [256, 1, 144]> input_73_cast_fp16 = mul(x = x_191_cast_fp16, y = var_837_cast_fp16_2)[name = tensor<string, []>("input_73_cast_fp16")];
            tensor<fp16, [192, 144]> text_encoder_encoders_0_layers_2_nonlin_attention_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_nonlin_attention_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 144]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4914816)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_nonlin_attention_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_nonlin_attention_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4970176)))];
            tensor<fp16, [256, 1, 192]> linear_42_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_nonlin_attention_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_nonlin_attention_out_proj_weight_to_fp16, x = input_73_cast_fp16)[name = tensor<string, []>("linear_42_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_193_cast_fp16 = add(x = input_69_cast_fp16, y = linear_42_cast_fp16)[name = tensor<string, []>("x_193_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_2_self_attn1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn1_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4970624)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_2_self_attn1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn1_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4989120)))];
            tensor<fp16, [256, 1, 48]> linear_43_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_self_attn1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_self_attn1_in_proj_weight_to_fp16, x = x_193_cast_fp16)[name = tensor<string, []>("linear_43_cast_fp16")];
            tensor<int32, [4]> var_871 = const()[name = tensor<string, []>("op_871"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_872_cast_fp16 = reshape(shape = var_871, x = linear_43_cast_fp16)[name = tensor<string, []>("op_872_cast_fp16")];
            tensor<int32, [4]> var_873 = const()[name = tensor<string, []>("op_873"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_199_transpose_x_0 = const()[name = tensor<string, []>("x_199_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_199_transpose_y_0 = const()[name = tensor<string, []>("x_199_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_197_cast_fp16 = transpose(perm = var_873, x = var_872_cast_fp16)[name = tensor<string, []>("transpose_45")];
            tensor<fp16, [4, 1, 256, 12]> x_199_cast_fp16 = matmul(transpose_x = x_199_transpose_x_0, transpose_y = x_199_transpose_y_0, x = input_67_cast_fp16, y = x_197_cast_fp16)[name = tensor<string, []>("x_199_cast_fp16")];
            tensor<int32, [4]> var_878 = const()[name = tensor<string, []>("op_878"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_883 = const()[name = tensor<string, []>("op_883"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_879_cast_fp16 = transpose(perm = var_878, x = x_199_cast_fp16)[name = tensor<string, []>("transpose_44")];
            tensor<fp16, [256, 1, 48]> input_75_cast_fp16 = reshape(shape = var_883, x = var_879_cast_fp16)[name = tensor<string, []>("input_75_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_2_self_attn1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(4989312)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_self_attn1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5007808)))];
            tensor<fp16, [256, 1, 192]> linear_44_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_self_attn1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_self_attn1_out_proj_weight_to_fp16, x = input_75_cast_fp16)[name = tensor<string, []>("linear_44_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_77_cast_fp16 = add(x = x_193_cast_fp16, y = linear_44_cast_fp16)[name = tensor<string, []>("input_77_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_2_conv_module1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5008256)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_2_conv_module1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5155776)))];
            tensor<fp16, [256, 1, 384]> linear_45_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_conv_module1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_conv_module1_in_proj_weight_to_fp16, x = input_77_cast_fp16)[name = tensor<string, []>("linear_45_cast_fp16")];
            tensor<int32, [2]> var_895_split_sizes_0 = const()[name = tensor<string, []>("op_895_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_895_axis_0 = const()[name = tensor<string, []>("op_895_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_895_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_895_cast_fp16_1 = split(axis = var_895_axis_0, split_sizes = var_895_split_sizes_0, x = linear_45_cast_fp16)[name = tensor<string, []>("op_895_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_21_cast_fp16 = sigmoid(x = var_895_cast_fp16_1)[name = tensor<string, []>("s_21_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_205_cast_fp16 = mul(x = var_895_cast_fp16_0, y = s_21_cast_fp16)[name = tensor<string, []>("x_205_cast_fp16")];
            tensor<int32, [3]> var_899 = const()[name = tensor<string, []>("op_899"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_207_cast_fp16 = transpose(perm = var_899, x = x_205_cast_fp16)[name = tensor<string, []>("transpose_43")];
            tensor<fp16, [1, 192, 256]> input_81_cast_fp16 = select(a = var_28_to_fp16, b = x_207_cast_fp16, cond = var_224)[name = tensor<string, []>("input_81_cast_fp16")];
            tensor<string, []> x_209_pad_type_0 = const()[name = tensor<string, []>("x_209_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_209_pad_0 = const()[name = tensor<string, []>("x_209_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_209_groups_0 = const()[name = tensor<string, []>("x_209_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_209_strides_0 = const()[name = tensor<string, []>("x_209_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_209_dilations_0 = const()[name = tensor<string, []>("x_209_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_2_conv_module1_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module1_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5156608)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_conv_module1_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module1_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5160128)))];
            tensor<fp16, [1, 192, 256]> x_209_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_2_conv_module1_depthwise_conv_bias_to_fp16, dilations = x_209_dilations_0, groups = x_209_groups_0, pad = x_209_pad_0, pad_type = x_209_pad_type_0, strides = x_209_strides_0, weight = text_encoder_encoders_0_layers_2_conv_module1_depthwise_conv_weight_to_fp16, x = input_81_cast_fp16)[name = tensor<string, []>("x_209_cast_fp16")];
            tensor<int32, [3]> var_911 = const()[name = tensor<string, []>("op_911"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_916_to_fp16 = const()[name = tensor<string, []>("op_916_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_211_cast_fp16 = transpose(perm = var_911, x = x_209_cast_fp16)[name = tensor<string, []>("transpose_42")];
            tensor<fp16, [256, 1, 192]> x_offset_23_cast_fp16 = sub(x = x_211_cast_fp16, y = var_916_to_fp16)[name = tensor<string, []>("x_offset_23_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_918_cast_fp16 = exp(x = x_offset_23_cast_fp16)[name = tensor<string, []>("op_918_cast_fp16")];
            tensor<fp16, []> var_919_to_fp16 = const()[name = tensor<string, []>("op_919_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_920_cast_fp16 = add(x = var_918_cast_fp16, y = var_919_to_fp16)[name = tensor<string, []>("op_920_cast_fp16")];
            tensor<fp32, []> var_921_epsilon_0 = const()[name = tensor<string, []>("op_921_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_921_cast_fp16 = log(epsilon = var_921_epsilon_0, x = var_920_cast_fp16)[name = tensor<string, []>("op_921_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_923_cast_fp16 = equal(x = var_921_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_923_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_47_cast_fp16 = select(a = x_offset_23_cast_fp16, b = var_921_cast_fp16, cond = var_923_cast_fp16)[name = tensor<string, []>("log_sum_47_cast_fp16")];
            tensor<fp16, []> var_925_to_fp16 = const()[name = tensor<string, []>("op_925_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_926_cast_fp16 = mul(x = x_211_cast_fp16, y = var_925_to_fp16)[name = tensor<string, []>("op_926_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_927_cast_fp16 = sub(x = log_sum_47_cast_fp16, y = var_926_cast_fp16)[name = tensor<string, []>("op_927_cast_fp16")];
            tensor<fp16, []> var_928_to_fp16 = const()[name = tensor<string, []>("op_928_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_215_cast_fp16 = sub(x = var_927_cast_fp16, y = var_928_to_fp16)[name = tensor<string, []>("x_215_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_2_conv_module1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5160576)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_conv_module1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5234368)))];
            tensor<fp16, [256, 1, 192]> linear_46_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_conv_module1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_conv_module1_out_proj_weight_to_fp16, x = x_215_cast_fp16)[name = tensor<string, []>("linear_46_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_83_cast_fp16 = add(x = input_77_cast_fp16, y = linear_46_cast_fp16)[name = tensor<string, []>("input_83_cast_fp16")];
            tensor<fp16, [512, 192]> text_encoder_encoders_0_layers_2_feed_forward2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward2_in_proj_weight_to_fp16"), val = tensor<fp16, [512, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5234816)))];
            tensor<fp16, [512]> text_encoder_encoders_0_layers_2_feed_forward2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward2_in_proj_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5431488)))];
            tensor<fp16, [256, 1, 512]> linear_47_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_feed_forward2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_feed_forward2_in_proj_weight_to_fp16, x = input_83_cast_fp16)[name = tensor<string, []>("linear_47_cast_fp16")];
            tensor<fp16, []> var_940_to_fp16 = const()[name = tensor<string, []>("op_940_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 512]> x_offset_25_cast_fp16 = sub(x = linear_47_cast_fp16, y = var_940_to_fp16)[name = tensor<string, []>("x_offset_25_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_942_cast_fp16 = exp(x = x_offset_25_cast_fp16)[name = tensor<string, []>("op_942_cast_fp16")];
            tensor<fp16, []> var_943_to_fp16 = const()[name = tensor<string, []>("op_943_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 512]> var_944_cast_fp16 = add(x = var_942_cast_fp16, y = var_943_to_fp16)[name = tensor<string, []>("op_944_cast_fp16")];
            tensor<fp32, []> var_945_epsilon_0 = const()[name = tensor<string, []>("op_945_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 512]> var_945_cast_fp16 = log(epsilon = var_945_epsilon_0, x = var_944_cast_fp16)[name = tensor<string, []>("op_945_cast_fp16")];
            tensor<bool, [256, 1, 512]> var_947_cast_fp16 = equal(x = var_945_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_947_cast_fp16")];
            tensor<fp16, [256, 1, 512]> log_sum_51_cast_fp16 = select(a = x_offset_25_cast_fp16, b = var_945_cast_fp16, cond = var_947_cast_fp16)[name = tensor<string, []>("log_sum_51_cast_fp16")];
            tensor<fp16, []> var_949_to_fp16 = const()[name = tensor<string, []>("op_949_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 512]> var_950_cast_fp16 = mul(x = linear_47_cast_fp16, y = var_949_to_fp16)[name = tensor<string, []>("op_950_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_951_cast_fp16 = sub(x = log_sum_51_cast_fp16, y = var_950_cast_fp16)[name = tensor<string, []>("op_951_cast_fp16")];
            tensor<fp16, []> var_952_to_fp16 = const()[name = tensor<string, []>("op_952_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 512]> x_221_cast_fp16 = sub(x = var_951_cast_fp16, y = var_952_to_fp16)[name = tensor<string, []>("x_221_cast_fp16")];
            tensor<fp16, [192, 512]> text_encoder_encoders_0_layers_2_feed_forward2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5432576)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_feed_forward2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5629248)))];
            tensor<fp16, [256, 1, 192]> linear_48_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_feed_forward2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_feed_forward2_out_proj_weight_to_fp16, x = x_221_cast_fp16)[name = tensor<string, []>("linear_48_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_9_cast_fp16 = add(x = input_83_cast_fp16, y = linear_48_cast_fp16)[name = tensor<string, []>("src_9_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_957_cast_fp16 = sub(x = src_9_cast_fp16, y = input_65_cast_fp16)[name = tensor<string, []>("op_957_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_bypass_mid_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_bypass_mid_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5629696)))];
            tensor<fp16, [256, 1, 192]> var_958_cast_fp16 = mul(x = var_957_cast_fp16, y = text_encoder_encoders_0_layers_2_bypass_mid_bypass_scale_to_fp16)[name = tensor<string, []>("op_958_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_223_cast_fp16 = add(x = input_65_cast_fp16, y = var_958_cast_fp16)[name = tensor<string, []>("x_223_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_2_self_attn2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn2_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5630144)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_2_self_attn2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn2_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5648640)))];
            tensor<fp16, [256, 1, 48]> linear_49_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_self_attn2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_self_attn2_in_proj_weight_to_fp16, x = x_223_cast_fp16)[name = tensor<string, []>("linear_49_cast_fp16")];
            tensor<int32, [4]> var_969 = const()[name = tensor<string, []>("op_969"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_970_cast_fp16 = reshape(shape = var_969, x = linear_49_cast_fp16)[name = tensor<string, []>("op_970_cast_fp16")];
            tensor<int32, [4]> var_971 = const()[name = tensor<string, []>("op_971"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_229_transpose_x_0 = const()[name = tensor<string, []>("x_229_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_229_transpose_y_0 = const()[name = tensor<string, []>("x_229_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_227_cast_fp16 = transpose(perm = var_971, x = var_970_cast_fp16)[name = tensor<string, []>("transpose_41")];
            tensor<fp16, [4, 1, 256, 12]> x_229_cast_fp16 = matmul(transpose_x = x_229_transpose_x_0, transpose_y = x_229_transpose_y_0, x = input_67_cast_fp16, y = x_227_cast_fp16)[name = tensor<string, []>("x_229_cast_fp16")];
            tensor<int32, [4]> var_976 = const()[name = tensor<string, []>("op_976"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_981 = const()[name = tensor<string, []>("op_981"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_977_cast_fp16 = transpose(perm = var_976, x = x_229_cast_fp16)[name = tensor<string, []>("transpose_40")];
            tensor<fp16, [256, 1, 48]> input_85_cast_fp16 = reshape(shape = var_981, x = var_977_cast_fp16)[name = tensor<string, []>("input_85_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_2_self_attn2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5648832)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_self_attn2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_self_attn2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5667328)))];
            tensor<fp16, [256, 1, 192]> linear_50_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_self_attn2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_self_attn2_out_proj_weight_to_fp16, x = input_85_cast_fp16)[name = tensor<string, []>("linear_50_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_87_cast_fp16 = add(x = x_223_cast_fp16, y = linear_50_cast_fp16)[name = tensor<string, []>("input_87_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_2_conv_module2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module2_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5667776)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_2_conv_module2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module2_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5815296)))];
            tensor<fp16, [256, 1, 384]> linear_51_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_conv_module2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_conv_module2_in_proj_weight_to_fp16, x = input_87_cast_fp16)[name = tensor<string, []>("linear_51_cast_fp16")];
            tensor<int32, [2]> var_993_split_sizes_0 = const()[name = tensor<string, []>("op_993_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_993_axis_0 = const()[name = tensor<string, []>("op_993_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_993_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_993_cast_fp16_1 = split(axis = var_993_axis_0, split_sizes = var_993_split_sizes_0, x = linear_51_cast_fp16)[name = tensor<string, []>("op_993_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_23_cast_fp16 = sigmoid(x = var_993_cast_fp16_1)[name = tensor<string, []>("s_23_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_235_cast_fp16 = mul(x = var_993_cast_fp16_0, y = s_23_cast_fp16)[name = tensor<string, []>("x_235_cast_fp16")];
            tensor<int32, [3]> var_997 = const()[name = tensor<string, []>("op_997"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_237_cast_fp16 = transpose(perm = var_997, x = x_235_cast_fp16)[name = tensor<string, []>("transpose_39")];
            tensor<fp16, [1, 192, 256]> input_91_cast_fp16 = select(a = var_28_to_fp16, b = x_237_cast_fp16, cond = var_224)[name = tensor<string, []>("input_91_cast_fp16")];
            tensor<string, []> x_239_pad_type_0 = const()[name = tensor<string, []>("x_239_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_239_pad_0 = const()[name = tensor<string, []>("x_239_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_239_groups_0 = const()[name = tensor<string, []>("x_239_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_239_strides_0 = const()[name = tensor<string, []>("x_239_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_239_dilations_0 = const()[name = tensor<string, []>("x_239_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_2_conv_module2_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module2_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5816128)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_conv_module2_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module2_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5819648)))];
            tensor<fp16, [1, 192, 256]> x_239_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_2_conv_module2_depthwise_conv_bias_to_fp16, dilations = x_239_dilations_0, groups = x_239_groups_0, pad = x_239_pad_0, pad_type = x_239_pad_type_0, strides = x_239_strides_0, weight = text_encoder_encoders_0_layers_2_conv_module2_depthwise_conv_weight_to_fp16, x = input_91_cast_fp16)[name = tensor<string, []>("x_239_cast_fp16")];
            tensor<int32, [3]> var_1009 = const()[name = tensor<string, []>("op_1009"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_1014_to_fp16 = const()[name = tensor<string, []>("op_1014_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_241_cast_fp16 = transpose(perm = var_1009, x = x_239_cast_fp16)[name = tensor<string, []>("transpose_38")];
            tensor<fp16, [256, 1, 192]> x_offset_27_cast_fp16 = sub(x = x_241_cast_fp16, y = var_1014_to_fp16)[name = tensor<string, []>("x_offset_27_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1016_cast_fp16 = exp(x = x_offset_27_cast_fp16)[name = tensor<string, []>("op_1016_cast_fp16")];
            tensor<fp16, []> var_1017_to_fp16 = const()[name = tensor<string, []>("op_1017_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_1018_cast_fp16 = add(x = var_1016_cast_fp16, y = var_1017_to_fp16)[name = tensor<string, []>("op_1018_cast_fp16")];
            tensor<fp32, []> var_1019_epsilon_0 = const()[name = tensor<string, []>("op_1019_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_1019_cast_fp16 = log(epsilon = var_1019_epsilon_0, x = var_1018_cast_fp16)[name = tensor<string, []>("op_1019_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_1021_cast_fp16 = equal(x = var_1019_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1021_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_55_cast_fp16 = select(a = x_offset_27_cast_fp16, b = var_1019_cast_fp16, cond = var_1021_cast_fp16)[name = tensor<string, []>("log_sum_55_cast_fp16")];
            tensor<fp16, []> var_1023_to_fp16 = const()[name = tensor<string, []>("op_1023_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_1024_cast_fp16 = mul(x = x_241_cast_fp16, y = var_1023_to_fp16)[name = tensor<string, []>("op_1024_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1025_cast_fp16 = sub(x = log_sum_55_cast_fp16, y = var_1024_cast_fp16)[name = tensor<string, []>("op_1025_cast_fp16")];
            tensor<fp16, []> var_1026_to_fp16 = const()[name = tensor<string, []>("op_1026_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_245_cast_fp16 = sub(x = var_1025_cast_fp16, y = var_1026_to_fp16)[name = tensor<string, []>("x_245_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_2_conv_module2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5820096)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_conv_module2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_conv_module2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5893888)))];
            tensor<fp16, [256, 1, 192]> linear_52_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_conv_module2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_conv_module2_out_proj_weight_to_fp16, x = x_245_cast_fp16)[name = tensor<string, []>("linear_52_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_93_cast_fp16 = add(x = input_87_cast_fp16, y = linear_52_cast_fp16)[name = tensor<string, []>("input_93_cast_fp16")];
            tensor<fp16, [640, 192]> text_encoder_encoders_0_layers_2_feed_forward3_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward3_in_proj_weight_to_fp16"), val = tensor<fp16, [640, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5894336)))];
            tensor<fp16, [640]> text_encoder_encoders_0_layers_2_feed_forward3_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward3_in_proj_bias_to_fp16"), val = tensor<fp16, [640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6140160)))];
            tensor<fp16, [256, 1, 640]> linear_53_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_feed_forward3_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_feed_forward3_in_proj_weight_to_fp16, x = input_93_cast_fp16)[name = tensor<string, []>("linear_53_cast_fp16")];
            tensor<fp16, []> var_1038_to_fp16 = const()[name = tensor<string, []>("op_1038_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 640]> x_offset_29_cast_fp16 = sub(x = linear_53_cast_fp16, y = var_1038_to_fp16)[name = tensor<string, []>("x_offset_29_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_1040_cast_fp16 = exp(x = x_offset_29_cast_fp16)[name = tensor<string, []>("op_1040_cast_fp16")];
            tensor<fp16, []> var_1041_to_fp16 = const()[name = tensor<string, []>("op_1041_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 640]> var_1042_cast_fp16 = add(x = var_1040_cast_fp16, y = var_1041_to_fp16)[name = tensor<string, []>("op_1042_cast_fp16")];
            tensor<fp32, []> var_1043_epsilon_0 = const()[name = tensor<string, []>("op_1043_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 640]> var_1043_cast_fp16 = log(epsilon = var_1043_epsilon_0, x = var_1042_cast_fp16)[name = tensor<string, []>("op_1043_cast_fp16")];
            tensor<bool, [256, 1, 640]> var_1045_cast_fp16 = equal(x = var_1043_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1045_cast_fp16")];
            tensor<fp16, [256, 1, 640]> log_sum_59_cast_fp16 = select(a = x_offset_29_cast_fp16, b = var_1043_cast_fp16, cond = var_1045_cast_fp16)[name = tensor<string, []>("log_sum_59_cast_fp16")];
            tensor<fp16, []> var_1047_to_fp16 = const()[name = tensor<string, []>("op_1047_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 640]> var_1048_cast_fp16 = mul(x = linear_53_cast_fp16, y = var_1047_to_fp16)[name = tensor<string, []>("op_1048_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_1049_cast_fp16 = sub(x = log_sum_59_cast_fp16, y = var_1048_cast_fp16)[name = tensor<string, []>("op_1049_cast_fp16")];
            tensor<fp16, []> var_1050_to_fp16 = const()[name = tensor<string, []>("op_1050_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 640]> x_251_cast_fp16 = sub(x = var_1049_cast_fp16, y = var_1050_to_fp16)[name = tensor<string, []>("x_251_cast_fp16")];
            tensor<fp16, [192, 640]> text_encoder_encoders_0_layers_2_feed_forward3_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward3_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6141504)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_feed_forward3_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_feed_forward3_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6387328)))];
            tensor<fp16, [256, 1, 192]> linear_54_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_2_feed_forward3_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_2_feed_forward3_out_proj_weight_to_fp16, x = x_251_cast_fp16)[name = tensor<string, []>("linear_54_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_253_cast_fp16 = add(x = input_93_cast_fp16, y = linear_54_cast_fp16)[name = tensor<string, []>("x_253_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_norm_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_norm_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6387776)))];
            tensor<fp16, [256, 1, 192]> var_1056_cast_fp16 = sub(x = x_253_cast_fp16, y = text_encoder_encoders_0_layers_2_norm_bias_to_fp16)[name = tensor<string, []>("op_1056_cast_fp16")];
            tensor<fp16, []> var_29_promoted_2_to_fp16 = const()[name = tensor<string, []>("op_29_promoted_2_to_fp16"), val = tensor<fp16, []>(0x1p+1)];
            tensor<fp16, [256, 1, 192]> var_1057_cast_fp16 = pow(x = var_1056_cast_fp16, y = var_29_promoted_2_to_fp16)[name = tensor<string, []>("op_1057_cast_fp16")];
            tensor<int32, [1]> var_1059_axes_0 = const()[name = tensor<string, []>("op_1059_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<bool, []> var_1059_keep_dims_0 = const()[name = tensor<string, []>("op_1059_keep_dims_0"), val = tensor<bool, []>(true)];
            tensor<fp16, [256, 1, 1]> var_1059_cast_fp16 = reduce_mean(axes = var_1059_axes_0, keep_dims = var_1059_keep_dims_0, x = var_1057_cast_fp16)[name = tensor<string, []>("op_1059_cast_fp16")];
            tensor<fp16, [256, 1, 1]> var_1060_cast_fp16 = pow(x = var_1059_cast_fp16, y = var_12_to_fp16)[name = tensor<string, []>("op_1060_cast_fp16")];
            tensor<fp16, []> var_1061_to_fp16 = const()[name = tensor<string, []>("op_1061_to_fp16"), val = tensor<fp16, []>(0x1.1ecp+2)];
            tensor<fp16, [256, 1, 1]> scales_5_cast_fp16 = mul(x = var_1060_cast_fp16, y = var_1061_to_fp16)[name = tensor<string, []>("scales_5_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_11_cast_fp16 = mul(x = x_253_cast_fp16, y = scales_5_cast_fp16)[name = tensor<string, []>("src_11_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1065_cast_fp16 = sub(x = src_11_cast_fp16, y = input_65_cast_fp16)[name = tensor<string, []>("op_1065_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_2_bypass_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_2_bypass_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6388224)))];
            tensor<fp16, [256, 1, 192]> var_1066_cast_fp16 = mul(x = var_1065_cast_fp16, y = text_encoder_encoders_0_layers_2_bypass_bypass_scale_to_fp16)[name = tensor<string, []>("op_1066_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_95_cast_fp16 = add(x = input_65_cast_fp16, y = var_1066_cast_fp16)[name = tensor<string, []>("input_95_cast_fp16")];
            tensor<fp16, [272, 192]> text_encoder_encoders_0_layers_3_self_attn_weights_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn_weights_in_proj_weight_to_fp16"), val = tensor<fp16, [272, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6388672)))];
            tensor<fp16, [272]> text_encoder_encoders_0_layers_3_self_attn_weights_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn_weights_in_proj_bias_to_fp16"), val = tensor<fp16, [272]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6493184)))];
            tensor<fp16, [256, 1, 272]> linear_55_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_self_attn_weights_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_self_attn_weights_in_proj_weight_to_fp16, x = input_95_cast_fp16)[name = tensor<string, []>("linear_55_cast_fp16")];
            tensor<int32, [3]> q_19_begin_0 = const()[name = tensor<string, []>("q_19_begin_0"), val = tensor<int32, [3]>([0, 0, 0])];
            tensor<int32, [3]> q_19_end_0 = const()[name = tensor<string, []>("q_19_end_0"), val = tensor<int32, [3]>([256, 1, 128])];
            tensor<bool, [3]> q_19_end_mask_0 = const()[name = tensor<string, []>("q_19_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> q_19_cast_fp16 = slice_by_index(begin = q_19_begin_0, end = q_19_end_0, end_mask = q_19_end_mask_0, x = linear_55_cast_fp16)[name = tensor<string, []>("q_19_cast_fp16")];
            tensor<int32, [3]> k_19_begin_0 = const()[name = tensor<string, []>("k_19_begin_0"), val = tensor<int32, [3]>([0, 0, 128])];
            tensor<int32, [3]> k_19_end_0 = const()[name = tensor<string, []>("k_19_end_0"), val = tensor<int32, [3]>([256, 1, 256])];
            tensor<bool, [3]> k_19_end_mask_0 = const()[name = tensor<string, []>("k_19_end_mask_0"), val = tensor<bool, [3]>([true, true, false])];
            tensor<fp16, [256, 1, 128]> k_19_cast_fp16 = slice_by_index(begin = k_19_begin_0, end = k_19_end_0, end_mask = k_19_end_mask_0, x = linear_55_cast_fp16)[name = tensor<string, []>("k_19_cast_fp16")];
            tensor<int32, [3]> p_19_begin_0 = const()[name = tensor<string, []>("p_19_begin_0"), val = tensor<int32, [3]>([0, 0, 256])];
            tensor<int32, [3]> p_19_end_0 = const()[name = tensor<string, []>("p_19_end_0"), val = tensor<int32, [3]>([256, 1, 272])];
            tensor<bool, [3]> p_19_end_mask_0 = const()[name = tensor<string, []>("p_19_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
            tensor<fp16, [256, 1, 16]> p_19_cast_fp16 = slice_by_index(begin = p_19_begin_0, end = p_19_end_0, end_mask = p_19_end_mask_0, x = linear_55_cast_fp16)[name = tensor<string, []>("p_19_cast_fp16")];
            tensor<int32, [4]> var_1091 = const()[name = tensor<string, []>("op_1091"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> q_21_cast_fp16 = reshape(shape = var_1091, x = q_19_cast_fp16)[name = tensor<string, []>("q_21_cast_fp16")];
            tensor<int32, [4]> var_1093 = const()[name = tensor<string, []>("op_1093"), val = tensor<int32, [4]>([256, 1, 4, 4])];
            tensor<fp16, [256, 1, 4, 4]> p_21_cast_fp16 = reshape(shape = var_1093, x = p_19_cast_fp16)[name = tensor<string, []>("p_21_cast_fp16")];
            tensor<int32, [4]> var_1095 = const()[name = tensor<string, []>("op_1095"), val = tensor<int32, [4]>([256, 1, 4, 32])];
            tensor<fp16, [256, 1, 4, 32]> k_21_cast_fp16 = reshape(shape = var_1095, x = k_19_cast_fp16)[name = tensor<string, []>("k_21_cast_fp16")];
            tensor<int32, [4]> var_1099 = const()[name = tensor<string, []>("op_1099"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> attn_scores_13_transpose_x_0 = const()[name = tensor<string, []>("attn_scores_13_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> attn_scores_13_transpose_y_0 = const()[name = tensor<string, []>("attn_scores_13_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<int32, [4]> transpose_22_perm_0 = const()[name = tensor<string, []>("transpose_22_perm_0"), val = tensor<int32, [4]>([2, 1, -4, -1])];
            tensor<int32, [4]> transpose_23_perm_0 = const()[name = tensor<string, []>("transpose_23_perm_0"), val = tensor<int32, [4]>([2, 1, -1, -4])];
            tensor<fp16, [4, 1, 32, 256]> transpose_23 = transpose(perm = transpose_23_perm_0, x = k_21_cast_fp16)[name = tensor<string, []>("transpose_35")];
            tensor<fp16, [4, 1, 256, 32]> transpose_22 = transpose(perm = transpose_22_perm_0, x = q_21_cast_fp16)[name = tensor<string, []>("transpose_36")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_13_cast_fp16 = matmul(transpose_x = attn_scores_13_transpose_x_0, transpose_y = attn_scores_13_transpose_y_0, x = transpose_22, y = transpose_23)[name = tensor<string, []>("attn_scores_13_cast_fp16")];
            tensor<bool, []> pos_scores_25_transpose_x_0 = const()[name = tensor<string, []>("pos_scores_25_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> pos_scores_25_transpose_y_0 = const()[name = tensor<string, []>("pos_scores_25_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 4, 511]> pos_emb_15_to_fp16 = const()[name = tensor<string, []>("pos_emb_15_to_fp16"), val = tensor<fp16, [4, 1, 4, 511]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6493824)))];
            tensor<fp16, [4, 1, 256, 4]> p_cast_fp16 = transpose(perm = var_1099, x = p_21_cast_fp16)[name = tensor<string, []>("transpose_37")];
            tensor<fp16, [4, 1, 256, 511]> pos_scores_25_cast_fp16 = matmul(transpose_x = pos_scores_25_transpose_x_0, transpose_y = pos_scores_25_transpose_y_0, x = p_cast_fp16, y = pos_emb_15_to_fp16)[name = tensor<string, []>("pos_scores_25_cast_fp16")];
            tensor<int32, [2]> var_1134 = const()[name = tensor<string, []>("op_1134"), val = tensor<int32, [2]>([-1, 511])];
            tensor<fp16, [1024, 511]> pos_scores_27_cast_fp16 = reshape(shape = var_1134, x = pos_scores_25_cast_fp16)[name = tensor<string, []>("pos_scores_27_cast_fp16")];
            tensor<bool, []> pos_scores_29_validate_indices_0 = const()[name = tensor<string, []>("pos_scores_29_validate_indices_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1024, 256]> pos_scores_29_cast_fp16_cast_uint16 = gather_along_axis(axis = var_31, indices = indexes_1_to_uint16, validate_indices = pos_scores_29_validate_indices_0, x = pos_scores_27_cast_fp16)[name = tensor<string, []>("pos_scores_29_cast_fp16_cast_uint16")];
            tensor<int32, [4]> var_1137 = const()[name = tensor<string, []>("op_1137"), val = tensor<int32, [4]>([4, 1, 256, 256])];
            tensor<fp16, [4, 1, 256, 256]> pos_scores_cast_fp16 = reshape(shape = var_1137, x = pos_scores_29_cast_fp16_cast_uint16)[name = tensor<string, []>("pos_scores_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> attn_scores_cast_fp16 = add(x = attn_scores_13_cast_fp16, y = pos_scores_cast_fp16)[name = tensor<string, []>("attn_scores_cast_fp16")];
            tensor<fp16, []> cast_49_to_fp16 = const()[name = tensor<string, []>("cast_49_to_fp16"), val = tensor<fp16, []>(-0x1.f4p+9)];
            tensor<fp16, [4, 1, 256, 256]> x_257_cast_fp16 = select(a = cast_49_to_fp16, b = attn_scores_cast_fp16, cond = var_123)[name = tensor<string, []>("x_257_cast_fp16")];
            tensor<fp16, [4, 1, 256, 256]> input_97_cast_fp16 = softmax(axis = var_24, x = x_257_cast_fp16)[name = tensor<string, []>("input_97_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_3_feed_forward1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6510272)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_3_feed_forward1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6657792)))];
            tensor<fp16, [256, 1, 384]> linear_57_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_feed_forward1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_feed_forward1_in_proj_weight_to_fp16, x = input_95_cast_fp16)[name = tensor<string, []>("linear_57_cast_fp16")];
            tensor<fp16, []> var_1152_to_fp16 = const()[name = tensor<string, []>("op_1152_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 384]> x_offset_31_cast_fp16 = sub(x = linear_57_cast_fp16, y = var_1152_to_fp16)[name = tensor<string, []>("x_offset_31_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_1154_cast_fp16 = exp(x = x_offset_31_cast_fp16)[name = tensor<string, []>("op_1154_cast_fp16")];
            tensor<fp16, []> var_1155_to_fp16 = const()[name = tensor<string, []>("op_1155_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 384]> var_1156_cast_fp16 = add(x = var_1154_cast_fp16, y = var_1155_to_fp16)[name = tensor<string, []>("op_1156_cast_fp16")];
            tensor<fp32, []> var_1157_epsilon_0 = const()[name = tensor<string, []>("op_1157_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 384]> var_1157_cast_fp16 = log(epsilon = var_1157_epsilon_0, x = var_1156_cast_fp16)[name = tensor<string, []>("op_1157_cast_fp16")];
            tensor<bool, [256, 1, 384]> var_1159_cast_fp16 = equal(x = var_1157_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1159_cast_fp16")];
            tensor<fp16, [256, 1, 384]> log_sum_63_cast_fp16 = select(a = x_offset_31_cast_fp16, b = var_1157_cast_fp16, cond = var_1159_cast_fp16)[name = tensor<string, []>("log_sum_63_cast_fp16")];
            tensor<fp16, []> var_1161_to_fp16 = const()[name = tensor<string, []>("op_1161_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 384]> var_1162_cast_fp16 = mul(x = linear_57_cast_fp16, y = var_1161_to_fp16)[name = tensor<string, []>("op_1162_cast_fp16")];
            tensor<fp16, [256, 1, 384]> var_1163_cast_fp16 = sub(x = log_sum_63_cast_fp16, y = var_1162_cast_fp16)[name = tensor<string, []>("op_1163_cast_fp16")];
            tensor<fp16, []> var_1164_to_fp16 = const()[name = tensor<string, []>("op_1164_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 384]> x_263_cast_fp16 = sub(x = var_1163_cast_fp16, y = var_1164_to_fp16)[name = tensor<string, []>("x_263_cast_fp16")];
            tensor<fp16, [192, 384]> text_encoder_encoders_0_layers_3_feed_forward1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6658624)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_feed_forward1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6806144)))];
            tensor<fp16, [256, 1, 192]> linear_58_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_feed_forward1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_feed_forward1_out_proj_weight_to_fp16, x = x_263_cast_fp16)[name = tensor<string, []>("linear_58_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_99_cast_fp16 = add(x = input_95_cast_fp16, y = linear_58_cast_fp16)[name = tensor<string, []>("input_99_cast_fp16")];
            tensor<int32, [4]> attn_weights_begin_0 = const()[name = tensor<string, []>("attn_weights_begin_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
            tensor<int32, [4]> attn_weights_end_0 = const()[name = tensor<string, []>("attn_weights_end_0"), val = tensor<int32, [4]>([1, 1, 256, 256])];
            tensor<bool, [4]> attn_weights_end_mask_0 = const()[name = tensor<string, []>("attn_weights_end_mask_0"), val = tensor<bool, [4]>([false, true, true, true])];
            tensor<fp16, [1, 1, 256, 256]> attn_weights_cast_fp16 = slice_by_index(begin = attn_weights_begin_0, end = attn_weights_end_0, end_mask = attn_weights_end_mask_0, x = input_97_cast_fp16)[name = tensor<string, []>("attn_weights_cast_fp16")];
            tensor<fp16, [432, 192]> text_encoder_encoders_0_layers_3_nonlin_attention_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_nonlin_attention_in_proj_weight_to_fp16"), val = tensor<fp16, [432, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6806592)))];
            tensor<fp16, [432]> text_encoder_encoders_0_layers_3_nonlin_attention_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_nonlin_attention_in_proj_bias_to_fp16"), val = tensor<fp16, [432]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6972544)))];
            tensor<fp16, [256, 1, 432]> linear_59_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_nonlin_attention_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_nonlin_attention_in_proj_weight_to_fp16, x = input_99_cast_fp16)[name = tensor<string, []>("linear_59_cast_fp16")];
            tensor<int32, [3]> var_1176_split_sizes_0 = const()[name = tensor<string, []>("op_1176_split_sizes_0"), val = tensor<int32, [3]>([144, 144, 144])];
            tensor<int32, []> var_1176_axis_0 = const()[name = tensor<string, []>("op_1176_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 144]> var_1176_cast_fp16_0, tensor<fp16, [256, 1, 144]> var_1176_cast_fp16_1, tensor<fp16, [256, 1, 144]> var_1176_cast_fp16_2 = split(axis = var_1176_axis_0, split_sizes = var_1176_split_sizes_0, x = linear_59_cast_fp16)[name = tensor<string, []>("op_1176_cast_fp16")];
            tensor<fp16, [256, 1, 144]> s_25_cast_fp16 = tanh(x = var_1176_cast_fp16_0)[name = tensor<string, []>("s_25_cast_fp16")];
            tensor<int32, [1]> var_1180_axes_0 = const()[name = tensor<string, []>("op_1180_axes_0"), val = tensor<int32, [1]>([-1])];
            tensor<fp16, [256, 1, 144, 1]> var_1180_cast_fp16 = expand_dims(axes = var_1180_axes_0, x = s_25_cast_fp16)[name = tensor<string, []>("op_1180_cast_fp16")];
            tensor<int32, [3]> var_1181 = const()[name = tensor<string, []>("op_1181"), val = tensor<int32, [3]>([256, 1, 144])];
            tensor<fp16, [256, 1, 144]> s_27_cast_fp16 = reshape(shape = var_1181, x = var_1180_cast_fp16)[name = tensor<string, []>("s_27_cast_fp16")];
            tensor<fp16, [256, 1, 144]> x_269_cast_fp16 = mul(x = var_1176_cast_fp16_1, y = s_27_cast_fp16)[name = tensor<string, []>("x_269_cast_fp16")];
            tensor<int32, [4]> var_1187 = const()[name = tensor<string, []>("op_1187"), val = tensor<int32, [4]>([256, 1, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_1188_cast_fp16 = reshape(shape = var_1187, x = x_269_cast_fp16)[name = tensor<string, []>("op_1188_cast_fp16")];
            tensor<int32, [4]> var_1189 = const()[name = tensor<string, []>("op_1189"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_273_transpose_x_0 = const()[name = tensor<string, []>("x_273_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_273_transpose_y_0 = const()[name = tensor<string, []>("x_273_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [1, 1, 256, 144]> x_271_cast_fp16 = transpose(perm = var_1189, x = var_1188_cast_fp16)[name = tensor<string, []>("transpose_34")];
            tensor<fp16, [1, 1, 256, 144]> x_273_cast_fp16 = matmul(transpose_x = x_273_transpose_x_0, transpose_y = x_273_transpose_y_0, x = attn_weights_cast_fp16, y = x_271_cast_fp16)[name = tensor<string, []>("x_273_cast_fp16")];
            tensor<int32, [4]> var_1192 = const()[name = tensor<string, []>("op_1192"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_1194 = const()[name = tensor<string, []>("op_1194"), val = tensor<int32, [3]>([256, 1, -1])];
            tensor<fp16, [256, 1, 1, 144]> var_1193_cast_fp16 = transpose(perm = var_1192, x = x_273_cast_fp16)[name = tensor<string, []>("transpose_33")];
            tensor<fp16, [256, 1, 144]> x_275_cast_fp16 = reshape(shape = var_1194, x = var_1193_cast_fp16)[name = tensor<string, []>("x_275_cast_fp16")];
            tensor<fp16, [256, 1, 144]> input_103_cast_fp16 = mul(x = x_275_cast_fp16, y = var_1176_cast_fp16_2)[name = tensor<string, []>("input_103_cast_fp16")];
            tensor<fp16, [192, 144]> text_encoder_encoders_0_layers_3_nonlin_attention_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_nonlin_attention_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 144]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6973504)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_nonlin_attention_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_nonlin_attention_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7028864)))];
            tensor<fp16, [256, 1, 192]> linear_60_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_nonlin_attention_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_nonlin_attention_out_proj_weight_to_fp16, x = input_103_cast_fp16)[name = tensor<string, []>("linear_60_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_277_cast_fp16 = add(x = input_99_cast_fp16, y = linear_60_cast_fp16)[name = tensor<string, []>("x_277_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_3_self_attn1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn1_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7029312)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_3_self_attn1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn1_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7047808)))];
            tensor<fp16, [256, 1, 48]> linear_61_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_self_attn1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_self_attn1_in_proj_weight_to_fp16, x = x_277_cast_fp16)[name = tensor<string, []>("linear_61_cast_fp16")];
            tensor<int32, [4]> var_1210 = const()[name = tensor<string, []>("op_1210"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_1211_cast_fp16 = reshape(shape = var_1210, x = linear_61_cast_fp16)[name = tensor<string, []>("op_1211_cast_fp16")];
            tensor<int32, [4]> var_1212 = const()[name = tensor<string, []>("op_1212"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_283_transpose_x_0 = const()[name = tensor<string, []>("x_283_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_283_transpose_y_0 = const()[name = tensor<string, []>("x_283_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_281_cast_fp16 = transpose(perm = var_1212, x = var_1211_cast_fp16)[name = tensor<string, []>("transpose_32")];
            tensor<fp16, [4, 1, 256, 12]> x_283_cast_fp16 = matmul(transpose_x = x_283_transpose_x_0, transpose_y = x_283_transpose_y_0, x = input_97_cast_fp16, y = x_281_cast_fp16)[name = tensor<string, []>("x_283_cast_fp16")];
            tensor<int32, [4]> var_1217 = const()[name = tensor<string, []>("op_1217"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_1222 = const()[name = tensor<string, []>("op_1222"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_1218_cast_fp16 = transpose(perm = var_1217, x = x_283_cast_fp16)[name = tensor<string, []>("transpose_31")];
            tensor<fp16, [256, 1, 48]> input_105_cast_fp16 = reshape(shape = var_1222, x = var_1218_cast_fp16)[name = tensor<string, []>("input_105_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_3_self_attn1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7048000)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_self_attn1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7066496)))];
            tensor<fp16, [256, 1, 192]> linear_62_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_self_attn1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_self_attn1_out_proj_weight_to_fp16, x = input_105_cast_fp16)[name = tensor<string, []>("linear_62_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_107_cast_fp16 = add(x = x_277_cast_fp16, y = linear_62_cast_fp16)[name = tensor<string, []>("input_107_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_3_conv_module1_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module1_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7066944)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_3_conv_module1_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module1_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7214464)))];
            tensor<fp16, [256, 1, 384]> linear_63_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_conv_module1_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_conv_module1_in_proj_weight_to_fp16, x = input_107_cast_fp16)[name = tensor<string, []>("linear_63_cast_fp16")];
            tensor<int32, [2]> var_1234_split_sizes_0 = const()[name = tensor<string, []>("op_1234_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_1234_axis_0 = const()[name = tensor<string, []>("op_1234_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_1234_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_1234_cast_fp16_1 = split(axis = var_1234_axis_0, split_sizes = var_1234_split_sizes_0, x = linear_63_cast_fp16)[name = tensor<string, []>("op_1234_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_29_cast_fp16 = sigmoid(x = var_1234_cast_fp16_1)[name = tensor<string, []>("s_29_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_289_cast_fp16 = mul(x = var_1234_cast_fp16_0, y = s_29_cast_fp16)[name = tensor<string, []>("x_289_cast_fp16")];
            tensor<int32, [3]> var_1238 = const()[name = tensor<string, []>("op_1238"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_291_cast_fp16 = transpose(perm = var_1238, x = x_289_cast_fp16)[name = tensor<string, []>("transpose_30")];
            tensor<fp16, [1, 192, 256]> input_111_cast_fp16 = select(a = var_28_to_fp16, b = x_291_cast_fp16, cond = var_224)[name = tensor<string, []>("input_111_cast_fp16")];
            tensor<string, []> x_293_pad_type_0 = const()[name = tensor<string, []>("x_293_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_293_pad_0 = const()[name = tensor<string, []>("x_293_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_293_groups_0 = const()[name = tensor<string, []>("x_293_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_293_strides_0 = const()[name = tensor<string, []>("x_293_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_293_dilations_0 = const()[name = tensor<string, []>("x_293_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_3_conv_module1_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module1_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7215296)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_conv_module1_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module1_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7218816)))];
            tensor<fp16, [1, 192, 256]> x_293_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_3_conv_module1_depthwise_conv_bias_to_fp16, dilations = x_293_dilations_0, groups = x_293_groups_0, pad = x_293_pad_0, pad_type = x_293_pad_type_0, strides = x_293_strides_0, weight = text_encoder_encoders_0_layers_3_conv_module1_depthwise_conv_weight_to_fp16, x = input_111_cast_fp16)[name = tensor<string, []>("x_293_cast_fp16")];
            tensor<int32, [3]> var_1250 = const()[name = tensor<string, []>("op_1250"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_1255_to_fp16 = const()[name = tensor<string, []>("op_1255_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_295_cast_fp16 = transpose(perm = var_1250, x = x_293_cast_fp16)[name = tensor<string, []>("transpose_29")];
            tensor<fp16, [256, 1, 192]> x_offset_33_cast_fp16 = sub(x = x_295_cast_fp16, y = var_1255_to_fp16)[name = tensor<string, []>("x_offset_33_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1257_cast_fp16 = exp(x = x_offset_33_cast_fp16)[name = tensor<string, []>("op_1257_cast_fp16")];
            tensor<fp16, []> var_1258_to_fp16 = const()[name = tensor<string, []>("op_1258_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_1259_cast_fp16 = add(x = var_1257_cast_fp16, y = var_1258_to_fp16)[name = tensor<string, []>("op_1259_cast_fp16")];
            tensor<fp32, []> var_1260_epsilon_0 = const()[name = tensor<string, []>("op_1260_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_1260_cast_fp16 = log(epsilon = var_1260_epsilon_0, x = var_1259_cast_fp16)[name = tensor<string, []>("op_1260_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_1262_cast_fp16 = equal(x = var_1260_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1262_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_67_cast_fp16 = select(a = x_offset_33_cast_fp16, b = var_1260_cast_fp16, cond = var_1262_cast_fp16)[name = tensor<string, []>("log_sum_67_cast_fp16")];
            tensor<fp16, []> var_1264_to_fp16 = const()[name = tensor<string, []>("op_1264_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_1265_cast_fp16 = mul(x = x_295_cast_fp16, y = var_1264_to_fp16)[name = tensor<string, []>("op_1265_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1266_cast_fp16 = sub(x = log_sum_67_cast_fp16, y = var_1265_cast_fp16)[name = tensor<string, []>("op_1266_cast_fp16")];
            tensor<fp16, []> var_1267_to_fp16 = const()[name = tensor<string, []>("op_1267_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_299_cast_fp16 = sub(x = var_1266_cast_fp16, y = var_1267_to_fp16)[name = tensor<string, []>("x_299_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_3_conv_module1_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module1_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7219264)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_conv_module1_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module1_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7293056)))];
            tensor<fp16, [256, 1, 192]> linear_64_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_conv_module1_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_conv_module1_out_proj_weight_to_fp16, x = x_299_cast_fp16)[name = tensor<string, []>("linear_64_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_113_cast_fp16 = add(x = input_107_cast_fp16, y = linear_64_cast_fp16)[name = tensor<string, []>("input_113_cast_fp16")];
            tensor<fp16, [512, 192]> text_encoder_encoders_0_layers_3_feed_forward2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward2_in_proj_weight_to_fp16"), val = tensor<fp16, [512, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7293504)))];
            tensor<fp16, [512]> text_encoder_encoders_0_layers_3_feed_forward2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward2_in_proj_bias_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7490176)))];
            tensor<fp16, [256, 1, 512]> linear_65_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_feed_forward2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_feed_forward2_in_proj_weight_to_fp16, x = input_113_cast_fp16)[name = tensor<string, []>("linear_65_cast_fp16")];
            tensor<fp16, []> var_1279_to_fp16 = const()[name = tensor<string, []>("op_1279_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 512]> x_offset_35_cast_fp16 = sub(x = linear_65_cast_fp16, y = var_1279_to_fp16)[name = tensor<string, []>("x_offset_35_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_1281_cast_fp16 = exp(x = x_offset_35_cast_fp16)[name = tensor<string, []>("op_1281_cast_fp16")];
            tensor<fp16, []> var_1282_to_fp16 = const()[name = tensor<string, []>("op_1282_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 512]> var_1283_cast_fp16 = add(x = var_1281_cast_fp16, y = var_1282_to_fp16)[name = tensor<string, []>("op_1283_cast_fp16")];
            tensor<fp32, []> var_1284_epsilon_0 = const()[name = tensor<string, []>("op_1284_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 512]> var_1284_cast_fp16 = log(epsilon = var_1284_epsilon_0, x = var_1283_cast_fp16)[name = tensor<string, []>("op_1284_cast_fp16")];
            tensor<bool, [256, 1, 512]> var_1286_cast_fp16 = equal(x = var_1284_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1286_cast_fp16")];
            tensor<fp16, [256, 1, 512]> log_sum_71_cast_fp16 = select(a = x_offset_35_cast_fp16, b = var_1284_cast_fp16, cond = var_1286_cast_fp16)[name = tensor<string, []>("log_sum_71_cast_fp16")];
            tensor<fp16, []> var_1288_to_fp16 = const()[name = tensor<string, []>("op_1288_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 512]> var_1289_cast_fp16 = mul(x = linear_65_cast_fp16, y = var_1288_to_fp16)[name = tensor<string, []>("op_1289_cast_fp16")];
            tensor<fp16, [256, 1, 512]> var_1290_cast_fp16 = sub(x = log_sum_71_cast_fp16, y = var_1289_cast_fp16)[name = tensor<string, []>("op_1290_cast_fp16")];
            tensor<fp16, []> var_1291_to_fp16 = const()[name = tensor<string, []>("op_1291_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 512]> x_305_cast_fp16 = sub(x = var_1290_cast_fp16, y = var_1291_to_fp16)[name = tensor<string, []>("x_305_cast_fp16")];
            tensor<fp16, [192, 512]> text_encoder_encoders_0_layers_3_feed_forward2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7491264)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_feed_forward2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7687936)))];
            tensor<fp16, [256, 1, 192]> linear_66_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_feed_forward2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_feed_forward2_out_proj_weight_to_fp16, x = x_305_cast_fp16)[name = tensor<string, []>("linear_66_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_13_cast_fp16 = add(x = input_113_cast_fp16, y = linear_66_cast_fp16)[name = tensor<string, []>("src_13_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1296_cast_fp16 = sub(x = src_13_cast_fp16, y = input_95_cast_fp16)[name = tensor<string, []>("op_1296_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_bypass_mid_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_bypass_mid_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7688384)))];
            tensor<fp16, [256, 1, 192]> var_1297_cast_fp16 = mul(x = var_1296_cast_fp16, y = text_encoder_encoders_0_layers_3_bypass_mid_bypass_scale_to_fp16)[name = tensor<string, []>("op_1297_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_307_cast_fp16 = add(x = input_95_cast_fp16, y = var_1297_cast_fp16)[name = tensor<string, []>("x_307_cast_fp16")];
            tensor<fp16, [48, 192]> text_encoder_encoders_0_layers_3_self_attn2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn2_in_proj_weight_to_fp16"), val = tensor<fp16, [48, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7688832)))];
            tensor<fp16, [48]> text_encoder_encoders_0_layers_3_self_attn2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn2_in_proj_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7707328)))];
            tensor<fp16, [256, 1, 48]> linear_67_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_self_attn2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_self_attn2_in_proj_weight_to_fp16, x = x_307_cast_fp16)[name = tensor<string, []>("linear_67_cast_fp16")];
            tensor<int32, [4]> var_1308 = const()[name = tensor<string, []>("op_1308"), val = tensor<int32, [4]>([256, 1, 4, -1])];
            tensor<fp16, [256, 1, 4, 12]> var_1309_cast_fp16 = reshape(shape = var_1308, x = linear_67_cast_fp16)[name = tensor<string, []>("op_1309_cast_fp16")];
            tensor<int32, [4]> var_1310 = const()[name = tensor<string, []>("op_1310"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<bool, []> x_313_transpose_x_0 = const()[name = tensor<string, []>("x_313_transpose_x_0"), val = tensor<bool, []>(false)];
            tensor<bool, []> x_313_transpose_y_0 = const()[name = tensor<string, []>("x_313_transpose_y_0"), val = tensor<bool, []>(false)];
            tensor<fp16, [4, 1, 256, 12]> x_311_cast_fp16 = transpose(perm = var_1310, x = var_1309_cast_fp16)[name = tensor<string, []>("transpose_28")];
            tensor<fp16, [4, 1, 256, 12]> x_313_cast_fp16 = matmul(transpose_x = x_313_transpose_x_0, transpose_y = x_313_transpose_y_0, x = input_97_cast_fp16, y = x_311_cast_fp16)[name = tensor<string, []>("x_313_cast_fp16")];
            tensor<int32, [4]> var_1315 = const()[name = tensor<string, []>("op_1315"), val = tensor<int32, [4]>([2, 1, 0, 3])];
            tensor<int32, [3]> var_1320 = const()[name = tensor<string, []>("op_1320"), val = tensor<int32, [3]>([256, 1, 48])];
            tensor<fp16, [256, 1, 4, 12]> var_1316_cast_fp16 = transpose(perm = var_1315, x = x_313_cast_fp16)[name = tensor<string, []>("transpose_27")];
            tensor<fp16, [256, 1, 48]> input_115_cast_fp16 = reshape(shape = var_1320, x = var_1316_cast_fp16)[name = tensor<string, []>("input_115_cast_fp16")];
            tensor<fp16, [192, 48]> text_encoder_encoders_0_layers_3_self_attn2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7707520)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_self_attn2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_self_attn2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7726016)))];
            tensor<fp16, [256, 1, 192]> linear_68_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_self_attn2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_self_attn2_out_proj_weight_to_fp16, x = input_115_cast_fp16)[name = tensor<string, []>("linear_68_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_117_cast_fp16 = add(x = x_307_cast_fp16, y = linear_68_cast_fp16)[name = tensor<string, []>("input_117_cast_fp16")];
            tensor<fp16, [384, 192]> text_encoder_encoders_0_layers_3_conv_module2_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module2_in_proj_weight_to_fp16"), val = tensor<fp16, [384, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7726464)))];
            tensor<fp16, [384]> text_encoder_encoders_0_layers_3_conv_module2_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module2_in_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7873984)))];
            tensor<fp16, [256, 1, 384]> linear_69_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_conv_module2_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_conv_module2_in_proj_weight_to_fp16, x = input_117_cast_fp16)[name = tensor<string, []>("linear_69_cast_fp16")];
            tensor<int32, [2]> var_1332_split_sizes_0 = const()[name = tensor<string, []>("op_1332_split_sizes_0"), val = tensor<int32, [2]>([192, 192])];
            tensor<int32, []> var_1332_axis_0 = const()[name = tensor<string, []>("op_1332_axis_0"), val = tensor<int32, []>(2)];
            tensor<fp16, [256, 1, 192]> var_1332_cast_fp16_0, tensor<fp16, [256, 1, 192]> var_1332_cast_fp16_1 = split(axis = var_1332_axis_0, split_sizes = var_1332_split_sizes_0, x = linear_69_cast_fp16)[name = tensor<string, []>("op_1332_cast_fp16")];
            tensor<fp16, [256, 1, 192]> s_cast_fp16 = sigmoid(x = var_1332_cast_fp16_1)[name = tensor<string, []>("s_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_319_cast_fp16 = mul(x = var_1332_cast_fp16_0, y = s_cast_fp16)[name = tensor<string, []>("x_319_cast_fp16")];
            tensor<int32, [3]> var_1336 = const()[name = tensor<string, []>("op_1336"), val = tensor<int32, [3]>([1, 2, 0])];
            tensor<fp16, [1, 192, 256]> x_321_cast_fp16 = transpose(perm = var_1336, x = x_319_cast_fp16)[name = tensor<string, []>("transpose_26")];
            tensor<fp16, [1, 192, 256]> input_121_cast_fp16 = select(a = var_28_to_fp16, b = x_321_cast_fp16, cond = var_224)[name = tensor<string, []>("input_121_cast_fp16")];
            tensor<string, []> x_323_pad_type_0 = const()[name = tensor<string, []>("x_323_pad_type_0"), val = tensor<string, []>("custom")];
            tensor<int32, [2]> x_323_pad_0 = const()[name = tensor<string, []>("x_323_pad_0"), val = tensor<int32, [2]>([4, 4])];
            tensor<int32, []> x_323_groups_0 = const()[name = tensor<string, []>("x_323_groups_0"), val = tensor<int32, []>(192)];
            tensor<int32, [1]> x_323_strides_0 = const()[name = tensor<string, []>("x_323_strides_0"), val = tensor<int32, [1]>([1])];
            tensor<int32, [1]> x_323_dilations_0 = const()[name = tensor<string, []>("x_323_dilations_0"), val = tensor<int32, [1]>([1])];
            tensor<fp16, [192, 1, 9]> text_encoder_encoders_0_layers_3_conv_module2_depthwise_conv_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module2_depthwise_conv_weight_to_fp16"), val = tensor<fp16, [192, 1, 9]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7874816)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_conv_module2_depthwise_conv_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module2_depthwise_conv_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7878336)))];
            tensor<fp16, [1, 192, 256]> x_323_cast_fp16 = conv(bias = text_encoder_encoders_0_layers_3_conv_module2_depthwise_conv_bias_to_fp16, dilations = x_323_dilations_0, groups = x_323_groups_0, pad = x_323_pad_0, pad_type = x_323_pad_type_0, strides = x_323_strides_0, weight = text_encoder_encoders_0_layers_3_conv_module2_depthwise_conv_weight_to_fp16, x = input_121_cast_fp16)[name = tensor<string, []>("x_323_cast_fp16")];
            tensor<int32, [3]> var_1348 = const()[name = tensor<string, []>("op_1348"), val = tensor<int32, [3]>([2, 0, 1])];
            tensor<fp16, []> var_1353_to_fp16 = const()[name = tensor<string, []>("op_1353_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> x_325_cast_fp16 = transpose(perm = var_1348, x = x_323_cast_fp16)[name = tensor<string, []>("transpose_25")];
            tensor<fp16, [256, 1, 192]> x_offset_37_cast_fp16 = sub(x = x_325_cast_fp16, y = var_1353_to_fp16)[name = tensor<string, []>("x_offset_37_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1355_cast_fp16 = exp(x = x_offset_37_cast_fp16)[name = tensor<string, []>("op_1355_cast_fp16")];
            tensor<fp16, []> var_1356_to_fp16 = const()[name = tensor<string, []>("op_1356_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 192]> var_1357_cast_fp16 = add(x = var_1355_cast_fp16, y = var_1356_to_fp16)[name = tensor<string, []>("op_1357_cast_fp16")];
            tensor<fp32, []> var_1358_epsilon_0 = const()[name = tensor<string, []>("op_1358_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 192]> var_1358_cast_fp16 = log(epsilon = var_1358_epsilon_0, x = var_1357_cast_fp16)[name = tensor<string, []>("op_1358_cast_fp16")];
            tensor<bool, [256, 1, 192]> var_1360_cast_fp16 = equal(x = var_1358_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1360_cast_fp16")];
            tensor<fp16, [256, 1, 192]> log_sum_75_cast_fp16 = select(a = x_offset_37_cast_fp16, b = var_1358_cast_fp16, cond = var_1360_cast_fp16)[name = tensor<string, []>("log_sum_75_cast_fp16")];
            tensor<fp16, []> var_1362_to_fp16 = const()[name = tensor<string, []>("op_1362_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 192]> var_1363_cast_fp16 = mul(x = x_325_cast_fp16, y = var_1362_to_fp16)[name = tensor<string, []>("op_1363_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1364_cast_fp16 = sub(x = log_sum_75_cast_fp16, y = var_1363_cast_fp16)[name = tensor<string, []>("op_1364_cast_fp16")];
            tensor<fp16, []> var_1365_to_fp16 = const()[name = tensor<string, []>("op_1365_to_fp16"), val = tensor<fp16, []>(0x1.40cp-2)];
            tensor<fp16, [256, 1, 192]> x_329_cast_fp16 = sub(x = var_1364_cast_fp16, y = var_1365_to_fp16)[name = tensor<string, []>("x_329_cast_fp16")];
            tensor<fp16, [192, 192]> text_encoder_encoders_0_layers_3_conv_module2_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module2_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7878784)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_conv_module2_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_conv_module2_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7952576)))];
            tensor<fp16, [256, 1, 192]> linear_70_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_conv_module2_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_conv_module2_out_proj_weight_to_fp16, x = x_329_cast_fp16)[name = tensor<string, []>("linear_70_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_123_cast_fp16 = add(x = input_117_cast_fp16, y = linear_70_cast_fp16)[name = tensor<string, []>("input_123_cast_fp16")];
            tensor<fp16, [640, 192]> text_encoder_encoders_0_layers_3_feed_forward3_in_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward3_in_proj_weight_to_fp16"), val = tensor<fp16, [640, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7953024)))];
            tensor<fp16, [640]> text_encoder_encoders_0_layers_3_feed_forward3_in_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward3_in_proj_bias_to_fp16"), val = tensor<fp16, [640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8198848)))];
            tensor<fp16, [256, 1, 640]> linear_71_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_feed_forward3_in_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_feed_forward3_in_proj_weight_to_fp16, x = input_123_cast_fp16)[name = tensor<string, []>("linear_71_cast_fp16")];
            tensor<fp16, []> var_1377_to_fp16 = const()[name = tensor<string, []>("op_1377_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
            tensor<fp16, [256, 1, 640]> x_offset_cast_fp16 = sub(x = linear_71_cast_fp16, y = var_1377_to_fp16)[name = tensor<string, []>("x_offset_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_1379_cast_fp16 = exp(x = x_offset_cast_fp16)[name = tensor<string, []>("op_1379_cast_fp16")];
            tensor<fp16, []> var_1380_to_fp16 = const()[name = tensor<string, []>("op_1380_to_fp16"), val = tensor<fp16, []>(0x1p+0)];
            tensor<fp16, [256, 1, 640]> var_1381_cast_fp16 = add(x = var_1379_cast_fp16, y = var_1380_to_fp16)[name = tensor<string, []>("op_1381_cast_fp16")];
            tensor<fp32, []> var_1382_epsilon_0 = const()[name = tensor<string, []>("op_1382_epsilon_0"), val = tensor<fp32, []>(0x1p-149)];
            tensor<fp16, [256, 1, 640]> var_1382_cast_fp16 = log(epsilon = var_1382_epsilon_0, x = var_1381_cast_fp16)[name = tensor<string, []>("op_1382_cast_fp16")];
            tensor<bool, [256, 1, 640]> var_1384_cast_fp16 = equal(x = var_1382_cast_fp16, y = var_16_to_fp16)[name = tensor<string, []>("op_1384_cast_fp16")];
            tensor<fp16, [256, 1, 640]> log_sum_cast_fp16 = select(a = x_offset_cast_fp16, b = var_1382_cast_fp16, cond = var_1384_cast_fp16)[name = tensor<string, []>("log_sum_cast_fp16")];
            tensor<fp16, []> var_1386_to_fp16 = const()[name = tensor<string, []>("op_1386_to_fp16"), val = tensor<fp16, []>(0x1.47cp-4)];
            tensor<fp16, [256, 1, 640]> var_1387_cast_fp16 = mul(x = linear_71_cast_fp16, y = var_1386_to_fp16)[name = tensor<string, []>("op_1387_cast_fp16")];
            tensor<fp16, [256, 1, 640]> var_1388_cast_fp16 = sub(x = log_sum_cast_fp16, y = var_1387_cast_fp16)[name = tensor<string, []>("op_1388_cast_fp16")];
            tensor<fp16, []> var_1389_to_fp16 = const()[name = tensor<string, []>("op_1389_to_fp16"), val = tensor<fp16, []>(0x1.1ecp-5)];
            tensor<fp16, [256, 1, 640]> x_335_cast_fp16 = sub(x = var_1388_cast_fp16, y = var_1389_to_fp16)[name = tensor<string, []>("x_335_cast_fp16")];
            tensor<fp16, [192, 640]> text_encoder_encoders_0_layers_3_feed_forward3_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward3_out_proj_weight_to_fp16"), val = tensor<fp16, [192, 640]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8200192)))];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_feed_forward3_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_feed_forward3_out_proj_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8446016)))];
            tensor<fp16, [256, 1, 192]> linear_72_cast_fp16 = linear(bias = text_encoder_encoders_0_layers_3_feed_forward3_out_proj_bias_to_fp16, weight = text_encoder_encoders_0_layers_3_feed_forward3_out_proj_weight_to_fp16, x = x_335_cast_fp16)[name = tensor<string, []>("linear_72_cast_fp16")];
            tensor<fp16, [256, 1, 192]> x_337_cast_fp16 = add(x = input_123_cast_fp16, y = linear_72_cast_fp16)[name = tensor<string, []>("x_337_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_norm_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_norm_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8446464)))];
            tensor<fp16, [256, 1, 192]> var_1395_cast_fp16 = sub(x = x_337_cast_fp16, y = text_encoder_encoders_0_layers_3_norm_bias_to_fp16)[name = tensor<string, []>("op_1395_cast_fp16")];
            tensor<fp16, []> var_29_promoted_3_to_fp16 = const()[name = tensor<string, []>("op_29_promoted_3_to_fp16"), val = tensor<fp16, []>(0x1p+1)];
            tensor<fp16, [256, 1, 192]> var_1396_cast_fp16 = pow(x = var_1395_cast_fp16, y = var_29_promoted_3_to_fp16)[name = tensor<string, []>("op_1396_cast_fp16")];
            tensor<int32, [1]> var_1398_axes_0 = const()[name = tensor<string, []>("op_1398_axes_0"), val = tensor<int32, [1]>([2])];
            tensor<bool, []> var_1398_keep_dims_0 = const()[name = tensor<string, []>("op_1398_keep_dims_0"), val = tensor<bool, []>(true)];
            tensor<fp16, [256, 1, 1]> var_1398_cast_fp16 = reduce_mean(axes = var_1398_axes_0, keep_dims = var_1398_keep_dims_0, x = var_1396_cast_fp16)[name = tensor<string, []>("op_1398_cast_fp16")];
            tensor<fp16, [256, 1, 1]> var_1399_cast_fp16 = pow(x = var_1398_cast_fp16, y = var_12_to_fp16)[name = tensor<string, []>("op_1399_cast_fp16")];
            tensor<fp16, []> var_1400_to_fp16 = const()[name = tensor<string, []>("op_1400_to_fp16"), val = tensor<fp16, []>(0x1.1ecp+2)];
            tensor<fp16, [256, 1, 1]> scales_cast_fp16 = mul(x = var_1399_cast_fp16, y = var_1400_to_fp16)[name = tensor<string, []>("scales_cast_fp16")];
            tensor<fp16, [256, 1, 192]> src_cast_fp16 = mul(x = x_337_cast_fp16, y = scales_cast_fp16)[name = tensor<string, []>("src_cast_fp16")];
            tensor<fp16, [256, 1, 192]> var_1404_cast_fp16 = sub(x = src_cast_fp16, y = input_95_cast_fp16)[name = tensor<string, []>("op_1404_cast_fp16")];
            tensor<fp16, [192]> text_encoder_encoders_0_layers_3_bypass_bypass_scale_to_fp16 = const()[name = tensor<string, []>("text_encoder_encoders_0_layers_3_bypass_bypass_scale_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8446912)))];
            tensor<fp16, [256, 1, 192]> var_1405_cast_fp16 = mul(x = var_1404_cast_fp16, y = text_encoder_encoders_0_layers_3_bypass_bypass_scale_to_fp16)[name = tensor<string, []>("op_1405_cast_fp16")];
            tensor<fp16, [256, 1, 192]> input_cast_fp16 = add(x = input_95_cast_fp16, y = var_1405_cast_fp16)[name = tensor<string, []>("input_cast_fp16")];
            tensor<fp16, [100, 192]> text_encoder_out_proj_weight_to_fp16 = const()[name = tensor<string, []>("text_encoder_out_proj_weight_to_fp16"), val = tensor<fp16, [100, 192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8447360)))];
            tensor<fp16, [100]> text_encoder_out_proj_bias_to_fp16 = const()[name = tensor<string, []>("text_encoder_out_proj_bias_to_fp16"), val = tensor<fp16, [100]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8485824)))];
            tensor<fp16, [256, 1, 100]> linear_73_cast_fp16 = linear(bias = text_encoder_out_proj_bias_to_fp16, weight = text_encoder_out_proj_weight_to_fp16, x = input_cast_fp16)[name = tensor<string, []>("linear_73_cast_fp16")];
            tensor<int32, [3]> var_1410 = const()[name = tensor<string, []>("op_1410"), val = tensor<int32, [3]>([1, 0, 2])];
            tensor<string, []> var_1411_cast_fp16_to_fp32_dtype_0 = const()[name = tensor<string, []>("op_1411_cast_fp16_to_fp32_dtype_0"), val = tensor<string, []>("fp32")];
            tensor<fp16, [1, 256, 100]> var_1411_cast_fp16 = transpose(perm = var_1410, x = linear_73_cast_fp16)[name = tensor<string, []>("transpose_24")];
            tensor<fp32, [1, 256, 100]> token_embeds = cast(dtype = var_1411_cast_fp16_to_fp32_dtype_0, x = var_1411_cast_fp16)[name = tensor<string, []>("cast_58")];
        } -> (token_embeds);
}