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e0643fa3fc
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/66744 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: ngimel Differential Revision: D31705358 fbshipit-source-id: d6ea350cbaa8f452fc78f238160e5374be637a48
38 lines
941 B
C++
38 lines
941 B
C++
#include "test/cpp/tensorexpr/padded_buffer.h"
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#include <c10/util/Logging.h>
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#include <c10/util/irange.h>
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#include <sstream>
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namespace torch {
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namespace jit {
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namespace tensorexpr {
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int PaddedBufferBase::Index(const std::vector<int>& indices) const {
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DCHECK_EQ(dims_.size(), indices.size());
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int total_index = 0;
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for (const auto i : c10::irange(dims_.size())) {
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total_index += indices[i] * strides_[i];
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}
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return total_index;
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}
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PaddedBufferBase::PaddedBufferBase(
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const std::vector<int>& dims,
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// NOLINTNEXTLINE(modernize-pass-by-value)
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const std::string& name)
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: dims_(dims), name_(name), strides_(dims.size()) {
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for (int i = (int)dims.size() - 1; i >= 0; --i) {
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if (i == (int)dims.size() - 1) {
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strides_[i] = 1;
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} else {
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strides_[i] = strides_[i + 1] * dims[i + 1];
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}
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}
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total_size_ = strides_[0] * dims[0];
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}
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} // namespace tensorexpr
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} // namespace jit
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} // namespace torch
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