682cef5c04
cuDNN cannot handle convolutions with 4 or more spatial dimensions. However we can work around this in some cases by removing trivial dimensions. PiperOrigin-RevId: 291894511 Change-Id: Ic0e3fa4f4181e105ca62f92a235a55413acd7253
40 lines
1.4 KiB
C++
40 lines
1.4 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_CONVOLUTION_4D_EXPANDER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_CONVOLUTION_4D_EXPANDER_H_
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#include "absl/strings/string_view.h"
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#include "tensorflow/compiler/xla/service/hlo_instruction.h"
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#include "tensorflow/compiler/xla/service/op_expander_pass.h"
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#include "tensorflow/compiler/xla/statusor.h"
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namespace xla {
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class Convolution4DExpander : public OpExpanderPass {
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public:
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absl::string_view name() const override { return "convolution_4d_expander"; }
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protected:
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bool InstructionMatchesPattern(HloInstruction* instruction) override;
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StatusOr<HloInstruction*> ExpandInstruction(
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HloInstruction* instruction) override;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_CONVOLUTION_4D_EXPANDER_H_
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