# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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"""
GEMM Specialization: Sigmoid(GEMM_RCR(A, B) + Bias) * D0
"""
from aitemplate.compiler.ops.gemm_universal.gemm_rcr_bias_broadcast import (
gemm_rcr_bias_broadcast,
)
# pylint: disable=C0103, W0223, W0221
[docs]class gemm_rcr_bias_sigmoid_mul(gemm_rcr_bias_broadcast):
"""GEMM Specialization: Sigmoid(GEMM_RCR(A, B) + Bias) * D0
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()
D0 = torch.randn(M, N).cuda().half()
linear = torch.nn.functional.linear(A, B, bias=Bias)
y = torch.sigmoid(linear) * D0
"""
def __init__(self):
super().__init__()
self._attrs["op"] = "gemm_rcr_bias_sigmoid_mul"
self._attrs["num_sources"] = 1