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ed327876f5
Generated by running the following from PyTorch root: ``` find . -regex ".*\.\(cpp\|h\|cu\|hpp\|cc\|cxx\)$" | grep -v "build/" | xargs -n 50 -P 4 perl -pi -e 's/c10::optional/std::optional/' ``` `c10::optional` is just an alias for `std::optional`. This removes usages of that alias in preparation for eliminating it entirely. Pull Request resolved: https://github.com/pytorch/pytorch/pull/126135 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/albanD, https://github.com/aaronenyeshi
29 lines
795 B
C++
29 lines
795 B
C++
#pragma once
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#include <torch/csrc/Export.h>
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#include <torch/csrc/jit/codegen/fuser/arg_spec.h>
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#include <torch/csrc/jit/codegen/fuser/partition_desc.h>
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#include <torch/csrc/jit/codegen/fuser/tensor_desc.h>
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#include <torch/csrc/jit/ir/ir.h>
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#include <string>
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#include <vector>
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namespace torch {
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namespace jit {
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namespace fuser {
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// Creates a CPU or CUDA kernel for the given graph.
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// Returns the C++ or CUDA string implementing the kernel.
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TORCH_API std::string generateKernel(
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const std::string& name,
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const Graph& graph,
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const std::vector<std::pair<const Value*, const std::optional<TensorDesc>>>&
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inputs,
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const std::vector<std::pair<const Value*, const TensorDesc>>& outputs,
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const bool use_cuda);
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} // namespace fuser
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} // namespace jit
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} // namespace torch
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