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Implement hardsigmoid and hardswish | feat(torchlib) #1216

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Dec 12, 2023
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Implement hardsigmoid and hardswish | feat(torchlib) #1216

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10 changes: 6 additions & 4 deletions onnxscript/function_libs/torch_lib/ops/nn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -596,10 +596,11 @@ def aten_glu_jvp(glu: TensorType, x: TensorType, dx: TensorType, dim: int) -> Te
raise NotImplementedError()


def aten_hardsigmoid(self: TensorType) -> TensorType:
@torch_op("aten::hardsigmoid")
def aten_hardsigmoid(self: TFloat) -> TFloat:
"""hardsigmoid(Tensor self) -> Tensor"""

raise NotImplementedError()
return op.HardSigmoid(self, alpha=1 / 6, beta=1 / 2)


def aten_hardsigmoid_backward(grad_output: TensorType, self: TensorType) -> TensorType:
Expand All @@ -608,10 +609,11 @@ def aten_hardsigmoid_backward(grad_output: TensorType, self: TensorType) -> Tens
raise NotImplementedError()


def aten_hardswish(self: TensorType) -> TensorType:
@torch_op("aten::hardswish")
def aten_hardswish(self: TFloat) -> TFloat:
"""hardswish(Tensor self) -> Tensor"""

raise NotImplementedError()
return op.HardSwish(self)


def aten_hardswish_backward(grad_output: TensorType, self: TensorType) -> TensorType:
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2 changes: 2 additions & 0 deletions onnxscript/tests/function_libs/torch_lib/ops_test_data.py
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Expand Up @@ -1177,6 +1177,8 @@ def _where_input_wrangler(
core_ops.aten_embedding,
input_wrangler=_embedding_input_wrangler,
),
TorchLibOpInfo("nn.functional.hardsigmoid", nn_ops.aten_hardsigmoid),
TorchLibOpInfo("nn.functional.hardswish", nn_ops.aten_hardswish),
TorchLibOpInfo("nn.functional.hardtanh", nn_ops.aten_hardtanh),
TorchLibOpInfo("nn.functional.leaky_relu", nn_ops.aten_leaky_relu),
TorchLibOpInfo(
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