pytorch

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#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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