[xnnpack][lite-int][graph-build] torchscript -> xnnpack graph #87824
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This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/87824
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 4 PendingAs of commit 9097022: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
…aph" This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) [ghstack-poisoned]
mcr229
added a commit
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Oct 26, 2022
Pull Request resolved: #87824 This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. ghstack-source-id: 171729129 Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/)
…aph" This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) [ghstack-poisoned]
This was referenced Oct 27, 2022
digantdesai
approved these changes
Oct 27, 2022
…aph" This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) [ghstack-poisoned]
…aph" This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) [ghstack-poisoned]
…aph" This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) [ghstack-poisoned]
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kulinseth
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Nov 5, 2022
…h#87824) This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) Pull Request resolved: pytorch#87824 Approved by: https://github.com/digantdesai, https://github.com/salilsdesai
kulinseth
pushed a commit
to kulinseth/pytorch
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Dec 10, 2022
…h#87824) This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values. As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound. Differential Revision: [D39838851](https://our.internmc.facebook.com/intern/diff/D39838851/) Pull Request resolved: pytorch#87824 Approved by: https://github.com/digantdesai, https://github.com/salilsdesai
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Stack from ghstack (oldest at bottom):
This point we perform conversion for Torchscript IR to XNNPack graph. Currently we only support converting Add Nodes and fp32 tensor values.
As a caveat, we are not building this at runtime. So for testing we just run the xnn graph once ahead of time and with sample inputs and forward it to execute. This is only for testing, and will be changed in a later diff. This will allow us to check that graph creation is sound.
Differential Revision: D39838851