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[Compiled Autograd] Move to torch::dynamo::autograd namespace (#105854)

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Pull Request resolved: https://github.com/pytorch/pytorch/pull/105854
Approved by: https://github.com/albanD
This commit is contained in:
Jason Ansel
2023-07-26 10:49:00 -07:00
committed by PyTorch MergeBot
parent f20ead0aea
commit 5a114f72bf
8 changed files with 31 additions and 23 deletions
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6
torch/csrc/autograd/function.h
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@ -40,14 +40,14 @@ namespace autograd {
struct Edge;
struct FunctionPostHook;
struct FunctionPreHook;
class CompiledNodeArgs;
class SwapSavedVariables;
using tensor_list = std::vector<at::Tensor>;
using variable_list = std::vector<Variable>;
using edge_list = std::vector<Edge>;
using saved_variable_list = std::vector<SavedVariable>;
using IndexRange = std::pair<size_t, size_t>;
using torch::dynamo::autograd::CompiledNodeArgs;
using torch::dynamo::autograd::SwapSavedVariables;
// Custom deleter to prevent stack overflows.
TORCH_API void deleteNode(Node* function);
@ -578,7 +578,7 @@ struct TORCH_API Node : std::enable_shared_from_this<Node> {
// Used by compiled autograd to call apply() with different saved tensors
// Implementations should call saved.before() on all attrs, then apply(), then
// saved.after() on all attrs.
// saved.after() on all attrs in the same order.
virtual variable_list apply_with_saved(
const variable_list& inputs,
SwapSavedVariables& saved) {