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Mostly in torch/csrc/jit/runtime and in `ATen/cuda/` Pull Request resolved: https://github.com/pytorch/pytorch/pull/110314 Approved by: https://github.com/seemethere
42 lines
1.1 KiB
C++
42 lines
1.1 KiB
C++
#pragma once
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#include <ATen/core/List.h>
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#include <ATen/core/functional.h>
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#include <ATen/core/ivalue.h>
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#include <ATen/core/jit_type.h>
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#include <ATen/core/stack.h>
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namespace torch::jit {
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void tupleUnpack(Stack& stack);
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void format(Stack& stack, size_t num_inputs);
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void einsum(Stack& stack, size_t num_inputs);
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void percentFormat(Stack& stack, size_t num_inputs);
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void listUnpack(Stack& stack, size_t num_outputs);
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void tupleConstruct(Stack& stack, size_t num_inputs);
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void namedTupleConstruct(Stack& stack, c10::TypePtr type, size_t num_inputs);
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void listConstruct(Stack& stack, const c10::Type& list_type, size_t num_inputs);
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void dictConstruct(Stack& stack, const c10::Type& type, size_t num_inputs);
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// as weak_ref will create a Object with a non-owning CompilationUnit reference,
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// for use as a constant in the Graph to avoid a reference cycle
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void createObject(
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Stack& stack,
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const at::ClassTypePtr& type,
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bool as_weak_ref = false);
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void isinstance(Stack& stack, at::ArrayRef<at::TypePtr> types);
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void tupleSlice(Stack& stack, size_t begin, size_t end);
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void dequantize(Stack& stack);
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} // namespace torch::jit
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