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Avoid exposing defines that conflict with google logging, since this blocks external usage of libtorch in certain cases. All the 'interesting' changes should be in these two files, and the rest should just be mechanical changes via sed. c10/util/logging_is_not_google_glog.h c10/util/logging_is_google_glog.h Fixes https://github.com/pytorch/pytorch/issues/81415 cc @miladm @malfet Pull Request resolved: https://github.com/pytorch/pytorch/pull/82032 Approved by: https://github.com/soumith, https://github.com/miladm
38 lines
947 B
C++
38 lines
947 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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TORCH_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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