mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
517c7c9861
Summary:
Anywhere we used #include "foo.h", we now say #include <foo.h>
Paths are adjusted to be rooted out of aten/src, torch/lib, or
the root level directory.
I modified CMakeLists.txt by hand to remove TH and THC from
the include paths.
I used the following script to do the canonicalization:
```
import subprocess
import re
import os.path
files = subprocess.check_output(['git', 'ls-files']).decode('utf-8').rstrip().split('\n')
for fn in files:
if not any(fn.endswith(suff) for suff in ['.cu', '.cpp', '.in', '.h', '.hpp', '.cu', '.cuh', '.cc']):
continue
if not any(fn.startswith(pref) for pref in ["aten/", "torch/"]):
continue
with open(fn, 'r') as f:
c = f.read()
def fmt(p):
return "#include <{}>".format(p)
def repl(m):
p = m.group(1)
if p in ["dlfcn.h", "unistd.h", "nvrtc.h", "cuda.h", "cuda_runtime.h", "cstdint", "cudnn.h", "Python.h", "cusparse.h", "cuda_runtime_api.h", "cuda_fp16.h", "cublas_v2.h", "stdint.h", "curand_kernel.h"]:
return fmt(p)
if any(p.startswith(pref) for pref in ["torch/csrc", "c10/", "ATen/", "caffe2/", "TH/", "THC/", "Eigen/", "gtest/", "zdl/", "gloo/", "onnx/", "miopen/"]):
return fmt(p)
for root in ["aten/src", "torch/lib", ""]:
for bad_root in [os.path.dirname(fn), "aten/src/TH", "aten/src/THC", "torch/csrc"]:
new_p = os.path.relpath(os.path.join(bad_root, p), root)
if not new_p.startswith("../") and (os.path.exists(os.path.join(root, new_p)) or os.path.exists(os.path.join(root, new_p + ".in"))):
return fmt(new_p)
print("ERROR: ", fn, p)
return m.group(0)
new_c = re.sub(r'#include "([^"]+)"', repl, c)
if new_c != c:
print(fn)
with open(fn, 'w') as f:
f.write(new_c)
```
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14849
Reviewed By: dzhulgakov
Differential Revision: D13363445
Pulled By: ezyang
fbshipit-source-id: 52361f878a672785f9306c9e9ab2513128092b68
56 lines
1.6 KiB
C++
56 lines
1.6 KiB
C++
#pragma once
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#include <memory>
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#include <torch/csrc/jit/ir.h>
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#include <torch/csrc/jit/variable_tensor_list.h>
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#include <torch/csrc/jit/interpreter.h>
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#include <torch/csrc/jit/autodiff.h>
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#include <torch/csrc/jit/argument_spec.h>
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namespace torch { namespace jit {
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struct GraphExecutorState;
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// Notice that those structs don't manage lifetime of their members.
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// They is only valid only right after you call getDebugState() and should never
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// be used again once another GraphExecutor function is called.
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struct ExecutionPlanState {
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Code* code = nullptr;
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const Graph* graph = nullptr;
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};
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struct GraphExecutorState {
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const Graph* graph = nullptr;
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ExecutionPlanState fallback; // XXX: members of this field are optional
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std::unordered_map<ArgumentSpec, ExecutionPlanState> execution_plans;
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};
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struct GraphExecutorImpl;
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struct TORCH_API GraphExecutor {
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GraphExecutor() = default;
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GraphExecutor(std::shared_ptr<Graph> graph, bool optimize = true);
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void run(Stack & inputs);
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explicit operator bool() const {
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return pImpl != nullptr;
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}
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std::shared_ptr<Graph> graph() const;
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std::shared_ptr<Graph> graphFor(const Stack& inputs) const;
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GraphExecutorState getDebugState();
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void debugDisableAutodiffSubgraphInlining();
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private:
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std::shared_ptr<GraphExecutorImpl> pImpl;
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};
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// These passes need to run before it is valid to pass to the interpreter
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// regardless of whether sizes have been specialized or not.
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TORCH_API void runRequiredPasses(const std::shared_ptr<Graph>& g);
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namespace detail {
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GraphExecutor* getGradExecutor(Operation& op);
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} // namespace detail
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}}
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