[ET-VK][Ops] aten.convolution (Bias=False) #2887
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The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2887
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit f2ca00c with merge base 99c4f4e ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This was referenced Apr 5, 2024
jorgep31415
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Apr 5, 2024
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
ghstack-source-id: 221526247
Pull Request resolved: #2887
Closed
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D55814589 |
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D55814589 |
jorgep31415
added a commit
that referenced
this pull request
Apr 8, 2024
Pull Request resolved: #2887 The final touches to get ET-VK convolution on-par with ATen-VK's convolution. ## Idea In our shaders, we add the bias to our sum. ``` ${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0); ``` To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum. ## Issue If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`. ## Solution If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights, (2) allocate a StagingBuffer of that size, and (3) `memset` its data to zero. Failure to do (3) will result in undefined behavior. ghstack-source-id: 221721748 @exported-using-ghexport Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D55814589 |
SS-JIA
approved these changes
Apr 9, 2024
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D55814589 |
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
## Idea
In our shaders, we add the bias to our sum.
```
${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0);
```
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
## Issue
If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`.
## Solution
If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.
Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
[ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D55814589 |
|
This pull request has been merged in 8aaf2c5. |
Closed
kedarnath03
pushed a commit
to kedarnath03/executorch
that referenced
this pull request
Jun 25, 2025
Pull Request resolved: pytorch/executorch#2887 The final touches to get ET-VK convolution on-par with ATen-VK's convolution. ## Idea In our shaders, we add the bias to our sum. ``` ${VEC4_T[DTYPE]} sum = texelFetch(bias_in, ivec2(pos.z, 0), 0); ``` To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum. ## Issue If `Bias=False`, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime as `TypeTag::NONE`, not `TypeTag::TENSORREF`. ## Solution If `TypeTag::NONE` is given, (1) create the `vTensor` using the `out_channels` value from the weights, (2) allocate a StagingBuffer of that size, and (3) `memset` its data to zero. Failure to do (3) will result in undefined behavior. ghstack-source-id: 221926167 @exported-using-ghexport Differential Revision: [D55814589](https://our.internmc.facebook.com/intern/diff/D55814589/)
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Stack from ghstack (oldest at bottom):
The final touches to get ET-VK convolution on-par with ATen-VK's convolution.
Idea
In our shaders, we add the bias to our sum.
To keep our shaders as is, we implement having no bias by allocating a buffer of zeros. Then, our shader adds zero to our sum.
Issue
If
Bias=False, dummy buffer of zeros is not serialized with the graph. The bias ValueRef is deserialized in the runtime asTypeTag::NONE, notTypeTag::TENSORREF.Solution
If
TypeTag::NONEis given, (1) create thevTensorusing theout_channelsvalue from the weights and (2) allocate a StagingBuffer of that size. The StagingBuffer will be transferred to GPU memory and initialized to zeros.Differential Revision: D55814589