# 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
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
Fuse conv + elementwise ops.
"""
from typing import List
from aitemplate.compiler.base import Tensor
from aitemplate.compiler.transform.fuse_conv_patterns import (
get_conv2d_bias_elementwise_patterns,
get_conv2d_bias_pattern,
get_cuda_only_conv2d_bias_elementwise_patterns,
)
from aitemplate.compiler.transform.fuse_utils import transform_simple_fusion_patterns
# pylint: disable=C0103,C0415,W0612
def _transform_conv2d_bias(sorted_graph: List[Tensor]) -> List[Tensor]:
fusion_patterns = get_conv2d_bias_pattern()
return transform_simple_fusion_patterns(sorted_graph, fusion_patterns)
def _transform_conv2d_bias_elementwise(sorted_graph: List[Tensor]) -> List[Tensor]:
fusion_patterns = get_conv2d_bias_elementwise_patterns()
return transform_simple_fusion_patterns(sorted_graph, fusion_patterns)
def _transform_cuda_only_conv2d_bias_elementwise(
sorted_graph: List[Tensor],
) -> List[Tensor]:
fusion_patterns = get_cuda_only_conv2d_bias_elementwise_patterns()
return transform_simple_fusion_patterns(sorted_graph, fusion_patterns)
[docs]def fuse_conv_elementwise(sorted_graph: List[Tensor], _: str) -> List[Tensor]:
"""
Fuse conv + elementwise ops. The second argument is unused, it's only
here to make the type of this function the same as the others called in optimize_graph.
"""
funcs = [
_transform_conv2d_bias,
_transform_conv2d_bias_elementwise,
]
for func in funcs:
sorted_graph = func(sorted_graph)
from aitemplate.backend.target import Target
if Target.current().name() == "cuda":
funcs = [
_transform_cuda_only_conv2d_bias_elementwise,
]
for func in funcs:
sorted_graph = func(sorted_graph)
return sorted_graph