# Copyright (c) Meta Platforms, Inc. and affiliates.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# http://www.apache.org/licenses/LICENSE-2.0
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"""
GEMM Specialization: HardSwish(GEMM_RCR(A, B) + Bias)
"""
from aitemplate.compiler.ops.gemm_universal import gemm_rcr_bias
# pylint: disable=C0103,W0223,W0221
[docs]class gemm_rcr_bias_hardswish(gemm_rcr_bias):
"""GEMM Specialization: HardSwish(GEMM_RCR(A, B) + Bias)
This operator is equivalent to the following pytorch code:
.. highlight:: python
.. code-block:: python
A = torch.randn(M, K).cuda().half()
B = torch.randn(N, K).cuda().half()
Bias = torch.randn(N).cuda().half()
linear = torch.nn.functional.linear(A, B, bias=Bias)
y = torch.nn.HardSwish(linear)
"""
def __init__(self):
super().__init__()
self._attrs["op"] = "gemm_rcr_bias_hardswish"
self._attrs["epilogue"] = "LinearCombinationHardSwish"