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"op": "com.microsoft.BiasAdd",
"cases": [
{
"name": "dispatch_cliff_scalar_f32",
"inputs": {
"X": { "dtype": "float32", "shape": [1, 5592321, 3], "data": { "kind": "linspace", "start": -1.0, "end": 1.0 } },
"bias": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [0.5, -1.0, 2.0] } },
"skip": { "dtype": "float32", "shape": [1, 5592321, 3], "data": { "kind": "constant", "value": 0.25 } }
},
"outputs": { "Y": { "dtype": "float32", "shape": [1, 5592321, 3], "tolerance": 0.00001 } }
},
{
"name": "ort_fused_skip_bias_channels",
"provenance": {
"source": "onnxruntime/test/contrib_ops/bias_add_op_test.cc",
"test": "BiasAddTest.BiasAddTest_HiddenSize_320",
"notes": "Small deterministic projection of the ORT fused skip+bias channel pattern."
},
"inputs": {
"X": {
"dtype": "float32",
"shape": [2, 2, 3],
"data": { "kind": "values", "values": [-1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, -2.0, -3.0, -4.0] }
},
"bias": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [0.5, -1.0, 2.0] } },
"skip": {
"dtype": "float32",
"shape": [2, 2, 3],
"data": { "kind": "values", "values": [10.0, 10.0, 10.0, -1.0, -1.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0] }
}
},
"outputs": {
"Y": {
"dtype": "float32",
"shape": [2, 2, 3],
"data": { "kind": "values", "values": [9.5, 9.0, 13.0, 1.5, 1.0, 5.0, 5.5, 6.0, 11.0, 1.5, 0.0, 3.0] }
}
}
},
{
"name": "ort_fused_skip_bias_singleton_image_f16",
"provenance": {
"source": "onnxruntime/test/contrib_ops/bias_add_op_test.cc",
"test": "BiasAddTest.BiasAddTest_HiddenSize_640",
"notes": "Small deterministic float16 projection of the ORT singleton image-size path."
},
"inputs": {
"X": {
"dtype": "float16",
"shape": [2, 1, 4],
"data": { "kind": "values", "values": [-1.0, -0.5, 0.5, 1.0, 2.0, -2.0, 0.25, -0.25] }
},
"bias": { "dtype": "float16", "shape": [4], "data": { "kind": "values", "values": [0.5, -1.0, 1.5, -0.5] } },
"skip": {
"dtype": "float16",
"shape": [2, 1, 4],
"data": { "kind": "values", "values": [1.0, 2.0, -1.0, -2.0, -0.5, 0.5, 1.0, -1.0] }
}
},
"outputs": {
"Y": {
"dtype": "float16",
"shape": [2, 1, 4],
"data": { "kind": "values", "values": [0.5, 0.5, 1.0, -1.5, 2.0, -2.5, 2.75, -1.75] }
}
}
},
{
"name": "ort_fused_skip_bias_vec4_f32",
"provenance": {
"source": "onnxruntime/test/contrib_ops/bias_add_op_test.cc",
"test": "BiasAddTest.BiasAddTest_HiddenSize_1280",
"notes": "Small deterministic projection with hidden size divisible by 4, matching the ORT channel-bias pattern and exercising the vec4 path."
},
"inputs": {
"X": {
"dtype": "float32",
"shape": [1, 2, 4],
"data": { "kind": "values", "values": [-4.0, -1.0, 0.0, 2.0, 5.0, 6.0, -7.0, 8.0] }
},
"bias": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.5, -0.25, 1.0, -2.0] } },
"skip": {
"dtype": "float32",
"shape": [1, 2, 4],
"data": { "kind": "values", "values": [10.0, 0.0, -1.0, 1.0, -5.0, 2.0, 3.0, -4.0] }
}
},
"outputs": {
"Y": {
"dtype": "float32",
"shape": [1, 2, 4],
"tolerance": 0,
"data": { "kind": "values", "values": [6.5, -1.25, 0.0, 1.0, 0.5, 7.75, -3.0, 2.0] }
}
}
},
{
"name": "f32_hidden320_vec4_compact",
"inputs": {
"X": {
"dtype": "float32",
"shape": [2, 16, 320],
"data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.5 }
},
"bias": {
"dtype": "float32",
"shape": [320],
"data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.17, "scale": 0.25 }
},
"skip": {
"dtype": "float32",
"shape": [2, 16, 320],
"data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.11, "scale": 0.25 }
}
},
"outputs": { "Y": { "dtype": "float32", "shape": [2, 16, 320], "tolerance": 0.000001 } }
},
{
"name": "ort_fused_skip_bias_scalar_f16",
"provenance": {
"source": "onnxruntime/test/contrib_ops/bias_add_op_test.cc",
"test": "BiasAddTest.BiasAddTest_HiddenSize_768",
"notes": "Small deterministic float16 projection with hidden size not divisible by 4, so the scalar path covers ORT's fused skip+bias pattern."
},
"inputs": {
"X": {
"dtype": "float16",
"shape": [1, 3, 3],
"data": { "kind": "values", "values": [0.5, -0.5, 1.0, 2.0, -2.0, 0.25, -0.25, 4.0, -4.0] }
},
"bias": { "dtype": "float16", "shape": [3], "data": { "kind": "values", "values": [0.25, -1.5, 2.0] } },
"skip": {
"dtype": "float16",
"shape": [1, 3, 3],
"data": { "kind": "values", "values": [1.0, 2.0, 3.0, -1.0, -2.0, -3.0, 0.5, -0.5, 1.0] }
}
},
"outputs": {
"Y": {
"dtype": "float16",
"shape": [1, 3, 3],
"tolerance": 0,
"data": { "kind": "values", "values": [1.75, 0.0, 6.0, 1.25, -5.5, -0.75, 0.5, 2.0, -1.0] }
}
}
},
{
"name": "ort_fused_skip_bias_image3_vec4_f32",
"provenance": {
"source": "onnxruntime/test/contrib_ops/bias_add_op_test.cc",
"test": "BiasAddTest.BiasAddTest_HiddenSize_1536",
"notes": "Small deterministic projection of ORT's batch=1, image_size=3, channel-bias path with hidden size divisible by 4."
},
"inputs": {
"X": {
"dtype": "float32",
"shape": [1, 3, 4],
"data": { "kind": "values", "values": [-2.0, -1.0, 0.0, 1.0, 2.0, 3.0, -3.0, -2.0, 4.0, -4.0, 0.5, -0.5] }
},
"bias": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.25, -0.5, 1.5, -1.25] } },
"skip": {
"dtype": "float32",
"shape": [1, 3, 4],
"data": { "kind": "values", "values": [10.0, 0.0, -10.0, 2.0, -1.0, 1.0, 3.0, -3.0, 0.5, -0.5, 2.0, -2.0] }
}
},
"outputs": {
"Y": {
"dtype": "float32",
"shape": [1, 3, 4],
"tolerance": 0,
"data": {
"kind": "values",
"values": [8.25, -1.5, -8.5, 1.75, 1.25, 3.5, 1.5, -6.25, 4.75, -5.0, 4.0, -3.75]
}
}
}
},
{
"name": "empty_zero_dim",
"inputs": {
"X": { "dtype": "float32", "shape": [1, 0, 4], "data": { "kind": "values", "values": [] } },
"bias": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.1, 0.2, 0.3, 0.4] } },
"skip": { "dtype": "float32", "shape": [1, 0, 4], "data": { "kind": "values", "values": [] } }
},
"outputs": { "Y": { "dtype": "float32", "shape": [1, 0, 4], "tolerance": 0 } }
},
{
"name": "empty_zero_dim_f16",
"inputs": {
"X": { "dtype": "float16", "shape": [1, 0, 4], "data": { "kind": "values", "values": [] } },
"bias": { "dtype": "float16", "shape": [4], "data": { "kind": "values", "values": [0.1, 0.2, 0.3, 0.4] } },
"skip": { "dtype": "float16", "shape": [1, 0, 4], "data": { "kind": "values", "values": [] } }
},
"outputs": { "Y": { "dtype": "float16", "shape": [1, 0, 4], "tolerance": 0 } }
},
{
"name": "empty_zero_hidden",
"inputs": {
"X": { "dtype": "float32", "shape": [1, 2, 0], "data": { "kind": "values", "values": [] } },
"bias": { "dtype": "float32", "shape": [0], "data": { "kind": "values", "values": [] } },
"skip": { "dtype": "float32", "shape": [1, 2, 0], "data": { "kind": "values", "values": [] } }
},
"outputs": { "Y": { "dtype": "float32", "shape": [1, 2, 0], "tolerance": 0 } }
},
{
"name": "scalar_hidden5_bias_broadcast_row_wrap",
"inputs": {
"X": { "dtype": "float32", "shape": [1, 3, 5], "data": { "kind": "linspace", "start": -2.0, "end": 2.0 } },
"bias": {
"dtype": "float32",
"shape": [5],
"data": { "kind": "values", "values": [0.5, -1.0, 2.0, -0.25, 1.5] }
},
"skip": { "dtype": "float32", "shape": [1, 3, 5], "data": { "kind": "linspace", "start": 1.0, "end": -1.0 } }
},
"outputs": { "Y": { "dtype": "float32", "shape": [1, 3, 5], "tolerance": 0.000001 } }
}
]
}
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