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#2271
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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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🔗 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 Failure

As of commit 066f119 with merge base c0167c5 (image):

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

This comment was automatically generated by Dr. CI and updates every 15 minutes.

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This pull request was exported from Phabricator. Differential Revision: D54561567

SS-JIA added a commit to SS-JIA/executorch-1 that referenced this pull request Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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 added a commit to SS-JIA/executorch-1 that referenced this pull request Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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 added a commit to SS-JIA/executorch-1 that referenced this pull request Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit to SS-JIA/executorch-1 that referenced this pull request Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit to SS-JIA/executorch-1 that referenced this pull request Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit to SS-JIA/executorch-1 that referenced this pull request Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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 was exported from Phabricator. Differential Revision: D54561567

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This pull request was exported from Phabricator. Differential Revision: D54561567

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This pull request has been merged in 12fcfcf.

junpi3 pushed a commit that referenced this pull request Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
@junpi3junpi3 mentioned this pull request Mar 13, 2024
Closed
junpi3 pushed a commit that referenced this pull request Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3 mentioned this pull request Mar 13, 2024
Closed
junpi3 pushed a commit that referenced this pull request Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit that referenced this pull request Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit that referenced this pull request Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit to kedarnath03/executorch that referenced this pull request Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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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#2271
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
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
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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This pull request was exported from Phabricator. Differential Revision: D54561567
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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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Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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 was exported from Phabricator. Differential Revision: D54561567
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This pull request has been merged in 12fcfcf.
junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
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mentioned this pull request
Mar 13, 2024
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junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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/)
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Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
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Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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Extend support for scalars and scalar lists in Value class - #2271
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Summary:
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
NEW FAILURE - The following job has failed:
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👉 Rebase onto the `viable/strict` branch to avoid these failures
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Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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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that referenced
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit
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that referenced
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit
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that referenced
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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.
junpi3 pushed a commit
that referenced
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Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
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junpi3 pushed a commit
that referenced
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Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
that referenced
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Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit
that referenced
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Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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Extend support for scalars and scalar lists in Value class - #2271
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SS-JIA:export-D54561567
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Extend support for scalars and scalar lists in Value class#2271
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Summary:
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
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
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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This pull request was exported from Phabricator. Differential Revision: D54561567
SS-JIA added a commit
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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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Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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 added a commit
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit
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that referenced
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit
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that referenced
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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.
junpi3 pushed a commit
that referenced
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Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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Extend support for scalars and scalar lists in Value class - #2271
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
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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This pull request was exported from Phabricator. Differential Revision: D54561567
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that referenced
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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.
junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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
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Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
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that referenced
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Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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Extend support for scalars and scalar lists in Value class - #2271
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Summary:
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
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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Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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.
junpi3 pushed a commit
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Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
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Mar 13, 2024
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junpi3 pushed a commit
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Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
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junpi3 pushed a commit
that referenced
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Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
that referenced
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Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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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#2271
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
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
This comment was automatically generated by Dr. CI and updates every 15 minutes.
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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 added a commit
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@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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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Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
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Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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.
junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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/)
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mentioned this pull request
Mar 13, 2024
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junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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Extend support for scalars and scalar lists in Value class - #2271
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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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🔗 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 Failure
As of commit 066f119 with merge base c0167c5 (image):
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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This pull request was exported from Phabricator. Differential Revision: D54561567
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that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
9d7b682
)
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
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D54561567
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
6365deb
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
29b3792
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
eaae93b
)
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 added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
65bd2b4
)
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@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
066f119
)
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
SS-JIA added a commit
to SS-JIA/executorch-1
that referenced
this pull request
Mar 6, 2024
@SS-JIA@facebook-github-bot
Extend support for scalars and scalar lists in Value class (pytorch#2271
28c8554
)
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 was exported from Phabricator. Differential Revision: D54561567
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This pull request has been merged in 12fcfcf.
junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize list types from function args
77b4714
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
8adb32b
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]
@junpi3junpi3
mentioned this pull request
Mar 13, 2024
 Closed

junpi3 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda
[ET-VK] Serialize tuple types from Node
4321bc5
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
facebook-github-bot pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize list types from function args (#2404)
21cbfd6
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 pushed a commit
that referenced
this pull request
Mar 13, 2024
Jorge Pineda@facebook-github-bot
Serialize tuple types from Node (#2405)
d0512b6
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 pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Jorge Pineda
[ET-VK] Serialize list types from function args
a197584
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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