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1622546050
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/70248 Modified loops in files under fbsource/fbcode/caffe2/ from the format ``` for(TYPE var=x0;var<x_max;x++) ``` to the format ``` for(const auto var: irange(xmax)) ``` This was achieved by running r-barnes's loop upgrader script (D28874212) with some modification to exclude all files under /torch/jit and a number of reversions or unused variable suppression warnings added by hand. Test Plan: Sandcastle Reviewed By: malfet Differential Revision: D32813863 fbshipit-source-id: 527244b4a2b220fdfe7f17dee3599603f492a2ca
57 lines
1.4 KiB
C++
57 lines
1.4 KiB
C++
#pragma once
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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/eigen_utils.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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namespace detail {
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template <typename T, typename Context>
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void VariableLengthSequencePadding(
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int N,
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int B,
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int M,
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T* X,
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const int32_t* seqLengths,
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const T padValue,
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Context* /*context*/) {
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for (const auto j : c10::irange(B)) {
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for (int i = seqLengths[j]; i < N; i++) {
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EigenVectorArrayMap<T>(X + B * M * i + M * j, M).setConstant(padValue);
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}
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}
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}
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} // namespace detail
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template <typename T, typename Context>
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class VariableLengthSequencePaddingOp : public Operator<Context> {
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public:
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template <class... Args>
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explicit VariableLengthSequencePaddingOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...) {}
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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bool RunOnDevice() override {
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const auto N = Input(INPUT).size(0);
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const auto B = Input(INPUT).size(1);
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const auto M = Input(INPUT).size(2);
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auto X = Output(OUTPUT)->template mutable_data<T>();
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auto seqLengths = Input(SEQ_LENGTHS).template data<int32_t>();
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detail::VariableLengthSequencePadding<T, Context>(
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N, B, M, X, seqLengths, 0, &context_);
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return true;
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}
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protected:
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INPUT_TAGS(INPUT, SEQ_LENGTHS);
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OUTPUT_TAGS(OUTPUT);
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};
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} // namespace caffe2
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