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Summary: Follow up to https://github.com/pytorch/pytorch/issues/68095 This also changes the files from the ATen folder to include c10's `Export.h` instead since they can't ever be exporting `TORCH_PYTHON_API`. cc pietern mrshenli pritamdamania87 zhaojuanmao satgera rohan-varma gqchen aazzolini osalpekar jiayisuse SciPioneer H-Huang Pull Request resolved: https://github.com/pytorch/pytorch/pull/69585 Reviewed By: mrshenli Differential Revision: D32958594 Pulled By: albanD fbshipit-source-id: 1ec7ef63764573fa2b486928955e3a1172150061
65 lines
1.9 KiB
C++
65 lines
1.9 KiB
C++
#pragma once
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#include <torch/csrc/Export.h>
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#include <torch/csrc/jit/ir/ir.h>
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#include <torch/csrc/jit/ir/named_value.h>
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#include <ATen/core/function_schema.h>
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namespace torch {
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namespace jit {
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// Try to match a list of inputs and keyword 'attributes' to this
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// schema. Return the flat list of positional inputs to the call or
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// `c10::nullopt` on failure (`failure_messages` contains a good error
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// report in this case)
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struct MatchedSchema {
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std::vector<Value*> inputs;
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std::vector<TypePtr> return_types;
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c10::OptNameList return_field_names;
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};
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TORCH_API MatchedSchema matchSchema(
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const ::c10::FunctionSchema& schema,
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const SourceRange& loc,
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Graph& graph,
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at::ArrayRef<NamedValue> args,
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at::ArrayRef<NamedValue> kwargs,
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const c10::optional<NamedValue>& self = c10::nullopt);
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TORCH_API std::pair<size_t, MatchedSchema> matchSchemas(
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const std::vector<const ::c10::FunctionSchema*>& schemas,
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const SourceRange& loc,
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Graph& graph,
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at::ArrayRef<NamedValue> args,
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at::ArrayRef<NamedValue> kwargs,
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const c10::optional<NamedValue>& self = c10::nullopt,
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bool render_errors = false);
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TORCH_API bool convertibleToList(
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const TypePtr& type,
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const TypePtr& list_type_);
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TORCH_API Value* emitBuiltinCall(
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const SourceRange& loc,
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Graph& graph,
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Symbol name,
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at::ArrayRef<NamedValue> args,
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at::ArrayRef<NamedValue> kwargs,
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const c10::optional<NamedValue>& self = c10::nullopt);
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TORCH_API c10::optional<size_t> findInputWithName(
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const std::string& name,
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at::ArrayRef<NamedValue> kwargs);
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// applies implicit conversion from value trying to turn it into type
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// concrete_type it succeeds if the return_value->isSubtypeOf(concrete_type)
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TORCH_API Value* tryConvertToType(
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const SourceRange& loc,
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Graph& graph,
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const TypePtr& concrete_type,
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Value* value,
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bool allow_conversions);
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} // namespace jit
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} // namespace torch
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