Extend support for scalars and scalar lists in Value class#2271
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Extend support for scalars and scalar lists in Value class#2271SS-JIA wants to merge 1 commit intopytorch:mainfrom
SS-JIA wants to merge 1 commit intopytorch:mainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2271
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Unrelated FailureAs of commit 066f119 with merge base c0167c5 ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Differential Revision: D54561567
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) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Differential Revision: D54561567
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This pull request was exported from Phabricator. Differential Revision: D54561567 |
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) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Differential Revision: D54561567
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This pull request was exported from Phabricator. Differential Revision: D54561567 |
SS-JIA
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) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Differential Revision: D54561567
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This pull request was exported from Phabricator. Differential Revision: D54561567 |
SS-JIA
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) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Differential Revision: D54561567
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junpi3
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Mar 6, 2024
) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Reviewed By: jorgep31415 Differential Revision: D54561567
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) Summary: ## Context This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output). This is achieved by extending the `Value` class (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union. This changeset also refactors `VulkanBackend.cpp` by introducing `GraphBuilder` which makes constructing a `ComputeGraph` from a serialized flatbuffer much clearer. Reviewed By: jorgep31415 Differential Revision: D54561567
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This pull request has been merged in 12fcfcf. |
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In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #1. Also, this change fixes a bug where values type `bool` matches both types `bool` and `int` and hence were being added twice. If our type support grows more complex, we can consider using our own types similar to the core Executorch runtime: https://github.com/pytorch/executorch/blob/689796499024fc4a133318d707f4c10db73da967/exir/emit/_emitter.py#L158-L166 Differential Revision: [D54708353](https://our.internmc.facebook.com/intern/diff/D54708353/) [ghstack-poisoned]
junpi3
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In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #2. Also, we introduce a specific handler for `getitem` nodes as it is required. Every `function_call` outputting non-tensor `torch.fx.Node` is followed by a special `getitem` `function_call`. Differential Revision: [D54789099](https://our.internmc.facebook.com/intern/diff/D54789099/) [ghstack-poisoned]
junpi3
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Mar 13, 2024
In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #2. Also, we introduce a specific handler for `getitem` nodes as it is required. Every `function_call` outputting non-tensor `torch.fx.Node` is followed by a special `getitem` `function_call`. Differential Revision: [D54789099](https://our.internmc.facebook.com/intern/diff/D54789099/) ghstack-source-id: 218541429 Pull Request resolved: #2405
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Summary: bypass-github-export-checks Pull Request resolved: #2404 In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #1. Also, this change fixes a bug where values type `bool` matches both types `bool` and `int` and hence were being added twice. If our type support grows more complex, we can consider using our own types similar to the core Executorch runtime: https://github.com/pytorch/executorch/blob/689796499024fc4a133318d707f4c10db73da967/exir/emit/_emitter.py#L158-L166 ghstack-source-id: 218539049 exported-using-ghexport Reviewed By: SS-JIA Differential Revision: D54708353 fbshipit-source-id: 8641647b515e201ea63db67115c01c1532ad6566
facebook-github-bot
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Summary: bypass-github-export-checks Pull Request resolved: #2405 In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #2. Also, we introduce a specific handler for `getitem` nodes as it is required. Every `function_call` outputting non-tensor `torch.fx.Node` is followed by a special `getitem` `function_call`. ghstack-source-id: 218541429 exported-using-ghexport Reviewed By: SS-JIA Differential Revision: D54789099 fbshipit-source-id: 1e58cbc0246a8c651d95e9ef6707bacb60066e2b
kedarnath03
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Jun 25, 2025
In pytorch/executorch#2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #1. Also, this change fixes a bug where values type `bool` matches both types `bool` and `int` and hence were being added twice. If our type support grows more complex, we can consider using our own types similar to the core Executorch runtime: https://github.com/pytorch/executorch/blob/689796499024fc4a133318d707f4c10db73da967/exir/emit/_emitter.py#L158-L166 Differential Revision: [D54708353](https://our.internmc.facebook.com/intern/diff/D54708353/) ghstack-source-id: 218539049 Pull Request resolved: pytorch/executorch#2404
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Summary:
Context
This changeset enables serialization and execution of Operators with arbitrary function signatures. Previously, only operators with a very specific schema were supported (2 inputs, 1 output).
This is achieved by extending the
Valueclass (which is essentially a tagged union) to support all necessary types. All objects needed to execute an operator are now serialized/deserialized as a tagged union.This changeset also refactors
VulkanBackend.cppby introducingGraphBuilderwhich makes constructing aComputeGraphfrom a serialized flatbuffer much clearer.Differential Revision: D54561567