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https://github.com/zebrajr/pytorch.git
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20d1bff292
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14828 Codemod generated with clangr shard mode, 25 files per diff, motivation: https://github.com/pytorch/pytorch/pull/12407 Reviewed By: bddppq Differential Revision: D13335160 fbshipit-source-id: a3ae4c5a86bfbdaf2d5aa14e0eef57255e829fd4
95 lines
2.7 KiB
C++
95 lines
2.7 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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 CAFFE2_OPERATORS_TT_PAD_OP_H_
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#define CAFFE2_OPERATORS_TT_PAD_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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template <typename T, class Context, class Engine = DefaultEngine>
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class TTPadOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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TTPadOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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scale_(OperatorBase::GetSingleArgument<int64_t>("scale", 0)) {
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CAFFE_ENFORCE(
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OperatorBase::HasArgument("scale"), "Argument `scale` is missing.");
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}
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bool RunOnDevice() override {
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const auto& X = Input(0);
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auto* X_pad = Output(0);
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CAFFE_ENFORCE(&X == X_pad);
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CAFFE_ENFORCE(X.dim() == 2, X.dim());
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auto X_dim0 = X.size(0);
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auto X_dim1 = X.size(1);
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auto* X_orig_dim0 = Output(1, {1}, at::dtype<int64_t>());
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*X_orig_dim0->template mutable_data<int64_t>() = X_dim0;
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if (X_dim0 % scale_ != 0) {
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int64_t padded_dim0 = (X_dim0 / scale_ + 1) * scale_;
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auto dim0_diff = padded_dim0 - X_dim0;
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// set growthPct to the upper bound percentage: (100 * scale_ / X_dim0)
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X_pad->Extend(dim0_diff, 100 * scale_ / X_dim0);
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auto* X_pad_data = X_pad->template mutable_data<T>();
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int64_t X_size = X_dim0 * X_dim1;
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memset(X_pad_data + X_size, 0, dim0_diff * X_dim1 * sizeof(T));
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}
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return true;
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}
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protected:
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int64_t scale_;
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};
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template <typename T, class Context, class Engine = DefaultEngine>
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class TTPadGradientOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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TTPadGradientOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws) {}
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bool RunOnDevice() override {
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const auto& G = Input(0);
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auto* output = Output(0);
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CAFFE_ENFORCE(&G == output);
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auto old_dim0 = *Input(1).template data<int64_t>();
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auto new_dim0 = G.size(0);
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auto dim1 = G.size(1);
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if (old_dim0 < new_dim0) {
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output->ShrinkTo(old_dim0);
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}
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return true;
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}
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_TT_PAD_OP_H_
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