operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.mul.Scalar | TIMM/convnext_base | ((T([32, 1, 56, 56], f16), -0.5), {}) |
aten.mul.Scalar | TIMM/convnext_base | ((T([32, 1, 56, 56], f16), 0.015625), {}) |
aten.mul.Scalar | HuggingFace/GPT2ForSequenceClassification | ((T([4, 1024, 3072], f16), 3.0), {}) |
aten.mul.Scalar | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 1], f32), 2), {}) |
aten.mul.Scalar | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 1], f32), 2), {}) |
aten.mul.Scalar | TorchBench/hf_GPT2 | ((T([4, 512, 3072], f16), 3.0), {}) |
aten.mul.Scalar | HuggingFace/DebertaForMaskedLM | ((T([4, 512, 768], f32), 2.0), {}) |
aten.mul.Scalar | HuggingFace/DebertaForQuestionAnswering | ((T([4, 512, 768], f32), 2.0), {}) |
aten.mul.Scalar | TorchBench/fastNLP_Bert | ((T([6, 476, 3072], f16), 1.1283791670955126), {}) |
aten.mul.Scalar | TorchBench/hf_Albert | ((T([8, 512, 128], f16), 3.0), {}) |
aten.mul.Scalar | TorchBench/hf_Albert | ((T([8, 512, 3072], f16), 3.0), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([0, 91], f16), T([0, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([0, 91], f16), T([0, 91], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([0, 91], f16), T([], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([0], f16), 0.5), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([0], f16), T([], f32)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([0], f32), T([0], f32)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1, 1, 1, 64], f16), -10000.0), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1, 1, 1024], f16), -10000.0), {}) |
aten.mul.Tensor | HuggingFace/AllenaiLongformerBase | ((T([1, 1, 1, 1024], f16), -65504.0), {}) |
aten.mul.Tensor | HuggingFace/CamemBert | ((T([1, 1, 1, 512], f16), -65504.0), {}) |
aten.mul.Tensor | HuggingFace/ElectraForCausalLM | ((T([1, 1, 1, 512], f16), -65504.0), {}) |
aten.mul.Tensor | HuggingFace/YituTechConvBert | ((T([1, 1, 1, 512], f16), -65504.0), {}) |
aten.mul.Tensor | HuggingFace/DebertaV2ForMaskedLM | ((T([1, 1, 1, 512], f32), T([1, 1, 512, 1], f32)), {}) |
aten.mul.Tensor | HuggingFace/DebertaV2ForQuestionAnswering | ((T([1, 1, 1, 512], f32), T([1, 1, 512, 1], f32)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1, 12, 64, 192], f16), -10000.0), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1, 14, 64, 1], f32), T([1, 12, 14, 1, 192], f32)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([1, 1024, 1, 1], f16), T([1, 1024, 1, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 3072], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 3072], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 3072], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 3072], f16), T([1, 1024, 3072], f16)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 768], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 768], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 768], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 1024, 768], f16), T([1, 1024, 768], f16)), {}) |
aten.mul.Tensor | HuggingFace/AllenaiLongformerBase | ((T([1, 1024], i32), T([1, 1024], i32)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 1152, 20, 20], f16), T([1, 1152, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 1024, 64], f16), T([1, 1, 1024, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 1024, 64], f16, stride=(786432, 64, 768, 1)), T([1, 1, 1024, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 12, 64, 192], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 12, 64, 192], f16, stride=(4718592, 393216, 32768, 512, 1)), 0.125), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 12, 64, 192], f32), -10000.0), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 12, 64, 64], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 12, 64, 64], f16, stride=(4718592, 393216, 32768, 512, 1)), 0.125), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 64, 1024], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 64, 1], f32), T([1, 12, 1, 192], f32)), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 64, 448], f16), 0.125), {}) |
aten.mul.Tensor | HuggingFace/BigBird | ((T([1, 12, 64, 448], f32), -10000.0), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([1, 128, 1, 1], f16), T([1, 128, 1, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForCausalLM | ((T([1, 128, 8192], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForSequenceClassification | ((T([1, 128, 8192], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForCausalLM | ((T([1, 128, 8192], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForSequenceClassification | ((T([1, 128, 8192], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForCausalLM | ((T([1, 128, 8192], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForSequenceClassification | ((T([1, 128, 8192], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForCausalLM | ((T([1, 128, 8192], f16), T([1, 128, 8192], f16)), {}) |
aten.mul.Tensor | HuggingFace/GPTNeoForSequenceClassification | ((T([1, 128, 8192], f16), T([1, 128, 8192], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 144, 160, 160], f16), T([1, 144, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 144, 160, 160], f16), T([1, 144, 160, 160], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 144, 80, 80], f16), T([1, 144, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 144, 80, 80], f16), T([1, 144, 80, 80], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 16, 320, 320], f16), T([1, 16, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 1920, 20, 20], f16), T([1, 1920, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 1920, 20, 20], f16), T([1, 1920, 20, 20], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([1, 2048, 1, 1], f16), T([1, 2048, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 240, 40, 40], f16), T([1, 240, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 240, 40, 40], f16), T([1, 240, 40, 40], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 240, 80, 80], f16), T([1, 240, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 240, 80, 80], f16), T([1, 240, 80, 80], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([1, 256, 1, 1], f16), T([1, 256, 1, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/AllenaiLongformerBase | ((T([1, 3, 512, 1], f16, stride=(1024, 256, 1, 1)), T([1, 3, 1, 512], f16, stride=(1024, 256, 1, 1))), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 32, 320, 320], f16), T([1, 32, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 32, 320, 320], f16), T([1, 32, 320, 320], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 480, 40, 40], f16), T([1, 480, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 480, 40, 40], f16), T([1, 480, 40, 40], f16)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([1, 512, 1, 1], f16), T([1, 512, 1, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaV2ForMaskedLM | ((T([1, 512, 1536], f16), T([1, 512, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/DebertaV2ForQuestionAnswering | ((T([1, 512, 1536], f16), T([1, 512, 1], f16)), {}) |
aten.mul.Tensor | HuggingFace/DistillGPT2 | ((T([1, 512, 3072], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 3072], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/DistillGPT2 | ((T([1, 512, 3072], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 3072], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/DistillGPT2 | ((T([1, 512, 3072], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 3072], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/DistillGPT2 | ((T([1, 512, 3072], f16), T([1, 512, 3072], f16)), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 3072], f16), T([1, 512, 3072], f16)), {}) |
aten.mul.Tensor | HuggingFace/YituTechConvBert | ((T([1, 512, 384], f16), T([1, 512, 384], f16)), {}) |
aten.mul.Tensor | HuggingFace/YituTechConvBert | ((T([1, 512, 384], f16), T([1, 512, 384], f16, stride=(196608, 1, 512))), {}) |
aten.mul.Tensor | HuggingFace/YituTechConvBert | ((T([1, 512, 384], f16, stride=(196608, 1, 512)), T([1, 512, 384], f16)), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 768], f16), 0.044715), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 768], f16), 0.5), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 768], f16), 0.7978845608028654), {}) |
aten.mul.Tensor | HuggingFace/GoogleFnet | ((T([1, 512, 768], f16), T([1, 512, 768], f16)), {}) |
aten.mul.Tensor | HuggingFace/CamemBert | ((T([1, 512], i32), T([1, 512], i32)), {}) |
aten.mul.Tensor | TorchBench/vision_maskrcnn | ((T([1, 64, 1, 1], f16), T([1, 64, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 672, 20, 20], f16), T([1, 672, 1, 1], f16)), {}) |
aten.mul.Tensor | TorchBench/timm_efficientdet | ((T([1, 672, 20, 20], f16), T([1, 672, 20, 20], f16)), {}) |
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