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gmagogsfm
reviewed
Apr 24, 2025
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### “Any performance regression from TorchScript?” | ||
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* Single digit percentage (<10%) improvement over TorchScript interpreter from improvements like static dispatch, memory planning, inter-op parallelism and overhead reduction. |
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Suggested change
* Single digit percentage (<10%) improvement over TorchScript interpreter from improvements like static dispatch, memory planning, inter-op parallelism and overhead reduction. | |
No, on the contrary we expect * single digit percentage (<10%) improvement over TorchScript interpreter from improvements like static dispatch, memory planning, inter-op parallelism and overhead reduction. |
yiming0416
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Apr 29, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: ``` buck2 run mode/dev-nosan caffe2/test/cpp/nativert:nativert ``` Differential Revision: D73820548
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Apr 29, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: ``` buck2 run mode/dev-nosan caffe2/test/cpp/nativert:nativert ``` Differential Revision: D73820548
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Apr 29, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: ``` buck2 run mode/dev-nosan caffe2/test/cpp/nativert:nativert ``` Differential Revision: D73820548
yiming0416
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Apr 29, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: ``` buck2 run mode/dev-nosan caffe2/test/cpp/nativert:nativert ``` Differential Revision: D73820548
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Apr 30, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: ``` buck2 run mode/dev-nosan caffe2/test/cpp/nativert:nativert ``` Differential Revision: D73820548
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May 1, 2025
Summary: Pull Request resolved: #152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 1, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 2, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
yiming0416
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May 2, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
yiming0416
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May 2, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 2, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 3, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 5, 2025
Summary: Pull Request resolved: #152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 5, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548
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May 5, 2025
Summary: Pull Request resolved: pytorch#152475 Torch Native Runtime RFC: pytorch/rfcs#72 Thi diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core. Test Plan: Internal CI. GitHub CI with newly added test under `test/cpp/nativert/test_tensor_meta.cpp` Reviewed By: zhxchen17 Differential Revision: D73820548
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May 6, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 This diff moves `TensorMeta.cpp` and `TensorMeta.h` to PyTorch core under `torch/nativert/graph/` Existing `torch::_export::TensorMeta` in `torch/csrc/utils/generated_serialization_types.h` is auto-generated from the export serde schema and therefore only containing the most basic serializable types. We need the newly added `TensorMeta.cpp` to deserialize the metadata into a in-memory class with c10 types so that it can be consumed by the runtime later. Test Plan: Added test under `test/cpp/nativert/test_tensor_meta.cpp` Differential Revision: D73820548 Pull Request resolved: #152475 Approved by: https://github.com/albanD
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May 7, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 Port string utils functions join and split to c10/util Test Plan: Added tests in `string_util_test.cpp` buck2 run mode/opt caffe2/c10/test:util_base_tests Differential Revision: D74202473 Pull Request resolved: #152873 Approved by: https://github.com/cyyever, https://github.com/Skylion007
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May 20, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 Added an in-memory representation for input and output specs of a graph. The GraphSignature class models the input and output specs of an exported graph produced by torch.export, which holds the graph information deserialized from the pt2 archive package. Runtime relies on the GraphSignature for weight name lookup and weight loading. The serialization schema is defined in torch/_export/serde/schema.py See more at: https://docs.pytorch.org/docs/stable/export.html#torch.export.ExportGraphSignature Test Plan: Added tests under `test/cpp/nativert/test_graph_signature.cpp` Differential Revision: D73895378 Pull Request resolved: #152969 Approved by: https://github.com/swolchok
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May 28, 2025
We split the large PR for adding Graph.h and Graph.cpp to `nativert` into 3 smaller PRs: 1. **Add header file** 2. Add source file 3. Add test and build rules. Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75491860](https://our.internmc.facebook.com/intern/diff/D75491860/) [ghstack-poisoned]
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Jun 19, 2025
Summary: Pull Request resolved: pytorch#156196 Moves GraphExecutorBase class to PyTorch core. GraphExecutorBase is a lightweight abstraction to execute a graph with execution frames without actually owning the graph nor the weights. This is introduced to decouple the state management of the top level runtime from the kernel executions so that sub graphs from higher order ops can be supported. Torch Native Runtime RFC: pytorch/rfcs#72 Test Plan: This is a base class. So CI is sufficient Rollback Plan: Reviewed By: zhxchen17 Differential Revision: D76830436
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Summary: Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the Pytree implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Test Plan: ``` buck run fbcode//mode/dev-nosan //caffe2/test/cpp/nativert:c10_kernel_test ``` Differential Revision: D76825830 Pull Request resolved: #156208 Approved by: https://github.com/zhxchen17
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Jun 19, 2025
Summary: Pull Request resolved: pytorch#156196 Moves GraphExecutorBase class to PyTorch core. GraphExecutorBase is a lightweight abstraction to execute a graph with execution frames without actually owning the graph nor the weights. This is introduced to decouple the state management of the top level runtime from the kernel executions so that sub graphs from higher order ops can be supported. Torch Native Runtime RFC: pytorch/rfcs#72 Test Plan: This is a base class. So CI is sufficient Rollback Plan: Reviewed By: zhxchen17 Differential Revision: D76830436
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Jun 19, 2025
Summary: Moves GraphExecutorBase class to PyTorch core. GraphExecutorBase is a lightweight abstraction to execute a graph with execution frames without actually owning the graph nor the weights. This is introduced to decouple the state management of the top level runtime from the kernel executions so that sub graphs from higher order ops can be supported. Torch Native Runtime RFC: pytorch/rfcs#72 Test Plan: CI Rollback Plan: Differential Revision: D76830436 Pull Request resolved: #156196 Approved by: https://github.com/zhxchen17
yushangdi
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Jun 19, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the Pytree implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Copied from original auto_functionalize Diff Summary D53776805: This is a non-functional kernel implementation for auto_functionalize In AutoFunctionalizeKernel, I directly call the underlying target without making a clone of mutating inputs. This would mutates the input tensors inplace, which is unsafe in general. However, Sigmoid is not doing any graph optimization, or node reordering at the moment, so it's ok do take this short cut. In the proper functional implementation, it will make a clone of the mutating input tensor return these new instance of tensors as AutoFunctionalizeKernel output. If the original exported program has some "bufferMutation" or "userInputMutation" fields, it will also need to honor such mutations in Sigmoid. Test Plan: See internal for test plan Differential Revision: D76926383
yiming0416
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Jun 20, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack Test Plan: Internal unittests Differential Revision: D77034945
pytorchmergebot
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Jun 20, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the Pytree implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Copied from original auto_functionalize Diff Summary D53776805: This is a non-functional kernel implementation for auto_functionalize In AutoFunctionalizeKernel, I directly call the underlying target without making a clone of mutating inputs. This would mutates the input tensors inplace, which is unsafe in general. However, Sigmoid is not doing any graph optimization, or node reordering at the moment, so it's ok do take this short cut. In the proper functional implementation, it will make a clone of the mutating input tensor return these new instance of tensors as AutoFunctionalizeKernel output. If the original exported program has some "bufferMutation" or "userInputMutation" fields, it will also need to honor such mutations in Sigmoid. Test Plan: See internal for test plan Differential Revision: D76926383 Pull Request resolved: #156454 Approved by: https://github.com/zhxchen17
yushangdi
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Jun 20, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Test Plan: CI Differential Revision: D77032074
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Jun 20, 2025
Summary: Pull Request resolved: pytorch#156507 Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Test Plan: CI Differential Revision: D77032074
yushangdi
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Jun 20, 2025
Summary: Pull Request resolved: pytorch#156507 Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Test Plan: CI Differential Revision: D77032074
yushangdi
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Jun 20, 2025
Summary: Pull Request resolved: pytorch#156507 Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Test Plan: CI Differential Revision: D77032074
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Jun 21, 2025
Summary: Pull Request resolved: pytorch#156506 Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack #buildall Test Plan: Internal unittests Differential Revision: D77034945
vijayabhaskar-ev
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Jun 22, 2025
We split the large PR for adding Graph.h and Graph.cpp to `nativert` into 3 smaller PRs: 1. **Add header file** 2. Add source file 3. Add test and build rules. Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75491860](https://our.internmc.facebook.com/intern/diff/D75491860/) Pull Request resolved: pytorch#154530 Approved by: https://github.com/SherlockNoMad
vijayabhaskar-ev
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Jun 22, 2025
We split the large PR for adding Graph.h and Graph.cpp to nativert into 3 smaller PRs: 1. Add header file 2. **Add source file** 3. Add test and build rules. Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75492405](https://our.internmc.facebook.com/intern/diff/D75492405/) Pull Request resolved: pytorch#154531 Approved by: https://github.com/SherlockNoMad ghstack dependencies: pytorch#154530
vijayabhaskar-ev
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Jun 22, 2025
We split the large PR for adding Graph.h and Graph.cpp to nativert into 3 smaller PRs: 1. Add header file 2. Add source file 3. **Add test and build rules** Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75495273](https://our.internmc.facebook.com/intern/diff/D75495273/) Pull Request resolved: pytorch#154532 Approved by: https://github.com/SherlockNoMad ghstack dependencies: pytorch#154530, pytorch#154531
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Jun 22, 2025
Summary: Moves Weights class to PyTorch core Torch Native Runtime RFC: pytorch/rfcs#72 README: https://github.com/pytorch/pytorch/blob/main/torch/nativert/OVERVIEW.md Test Plan: buck2 run mode/dev-nosan caffe2/test/cpp/nativert:weights_test Differential Revision: D75973156 Pull Request resolved: pytorch#155156 Approved by: https://github.com/zhxchen17
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Jun 23, 2025
Summary: Pull Request resolved: pytorch#156506 Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack. Test Plan: Internal unittests Differential Revision: D77034945
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Jun 23, 2025
Summary: Pull Request resolved: pytorch#156506 Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack. Test Plan: Internal unittests Differential Revision: D77034945
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Jun 23, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the implementation to torch/: fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels Test Plan: CI Differential Revision: D77032074 Pull Request resolved: #156507 Approved by: https://github.com/zhxchen17
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Jun 23, 2025
Summary: Pull Request resolved: pytorch#156506 Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack. Test Plan: Internal unittests Reviewed By: zhxchen17 Differential Revision: D77034945
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Jun 24, 2025
Summary: Pull Request resolved: pytorch#156506 Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack. Test Plan: Internal unittests Reviewed By: zhxchen17 Differential Revision: D77034945
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Jun 24, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack Test Plan: Internal unittests Differential Revision: D77034945 Pull Request resolved: #156506 Approved by: https://github.com/zhxchen17
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Jun 25, 2025
Summary: Torch Native Runtime RFC: pytorch/rfcs#72 PrimKernelRegistry manages a small subset of kernel registry in NativeRT. Including ListPack, ListUnpack, Input, Output, VarConcat, VarStack Test Plan: Internal unittests Differential Revision: D77034945 Pull Request resolved: pytorch#156506 Approved by: https://github.com/zhxchen17
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Jul 14, 2025
We split the large PR for adding Graph.h and Graph.cpp to `nativert` into 3 smaller PRs: 1. **Add header file** 2. Add source file 3. Add test and build rules. Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75491860](https://our.internmc.facebook.com/intern/diff/D75491860/) Pull Request resolved: pytorch#154530 Approved by: https://github.com/SherlockNoMad
vijayabhaskar-ev
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Jul 14, 2025
We split the large PR for adding Graph.h and Graph.cpp to nativert into 3 smaller PRs: 1. Add header file 2. **Add source file** 3. Add test and build rules. Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75492405](https://our.internmc.facebook.com/intern/diff/D75492405/) Pull Request resolved: pytorch#154531 Approved by: https://github.com/SherlockNoMad ghstack dependencies: pytorch#154530
vijayabhaskar-ev
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Jul 14, 2025
We split the large PR for adding Graph.h and Graph.cpp to nativert into 3 smaller PRs: 1. Add header file 2. Add source file 3. **Add test and build rules** Torch Native Runtime RFC: pytorch/rfcs#72 4 classes have been introduced: `Graph`, `Node`, `Value`, `Type` - `Type` represents the kind of a `Value` - `Value` represents a single symbolic value, it could be any kind that exists in `Type`. Values are inputs and outputs of a `Node`. - `Node` represents a single unit of execution, typically a PyTorch op. - `Graph` represents a model's computation graph, which is designed to facilitate transformation/analysis. Differential Revision: [D75495273](https://our.internmc.facebook.com/intern/diff/D75495273/) Pull Request resolved: pytorch#154532 Approved by: https://github.com/SherlockNoMad ghstack dependencies: pytorch#154530, pytorch#154531
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Jul 14, 2025
Summary: Moves Weights class to PyTorch core Torch Native Runtime RFC: pytorch/rfcs#72 README: https://github.com/pytorch/pytorch/blob/main/torch/nativert/OVERVIEW.md Test Plan: buck2 run mode/dev-nosan caffe2/test/cpp/nativert:weights_test Differential Revision: D75973156 Pull Request resolved: pytorch#155156 Approved by: https://github.com/zhxchen17
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