make float8 a1x128_w128x128 granularity serializeable #3279
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3279
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vkuzo
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Summary: Change the granularity for this scaling type from `PerBlock((1, 128)), PerBlock((128, 128))` to `PerBlock([1, 128]), PerBlock([128, 128])`, to get around the current limitation of config serialization not supporting tuples. Error when serializing tuples: https://gist.github.com/vkuzo/ab4d6aec83cb98ad9417898d2c024a2c Supporting tuples and lists would be a better long term fix, but the workaround will unblock further work in the short term. Test Plan: ``` pytest test/quantization/quantize_/workflows/float8/test_float8_tensor.py -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: e150e2a ghstack-comment-id: 3480842282 Pull-Request: #3279
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Summary: Change the granularity for this scaling type from `PerBlock((1, 128)), PerBlock((128, 128))` to `PerBlock([1, 128]), PerBlock([128, 128])`, to get around the current limitation of config serialization not supporting tuples. Error when serializing tuples: https://gist.github.com/vkuzo/ab4d6aec83cb98ad9417898d2c024a2c Supporting tuples and lists would be a better long term fix, but the workaround will unblock further work in the short term. Test Plan: ``` pytest test/quantization/quantize_/workflows/float8/test_float8_tensor.py -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 68799cc ghstack-comment-id: 3480842282 Pull-Request: #3279
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| KernelPreference.AUTO, | ||
| KernelPreference.TORCH, | ||
| ), "unimplemented" | ||
| assert self.mm_config is None, "unimplemented" |
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yes, this is tested with the serialization flow. When the object is created a default value of mm_config is set, and then when object is saved and reloaded, that value then makes it to the constructor.
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vkuzo
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Summary: Change the granularity for this scaling type from `PerBlock((1, 128)), PerBlock((128, 128))` to `PerBlock([1, 128]), PerBlock([128, 128])`, to get around the current limitation of config serialization not supporting tuples. Error when serializing tuples: https://gist.github.com/vkuzo/ab4d6aec83cb98ad9417898d2c024a2c Supporting tuples and lists would be a better long term fix, but the workaround will unblock further work in the short term. Test Plan: ``` pytest test/quantization/quantize_/workflows/float8/test_float8_tensor.py -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 32b5009 ghstack-comment-id: 3480842282 Pull-Request: #3279
vkuzo
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Summary: Change the granularity for this scaling type from `PerBlock((1, 128)), PerBlock((128, 128))` to `PerBlock([1, 128]), PerBlock([128, 128])`, to get around the current limitation of config serialization not supporting tuples. Error when serializing tuples: https://gist.github.com/vkuzo/ab4d6aec83cb98ad9417898d2c024a2c Supporting tuples and lists would be a better long term fix, but the workaround will unblock further work in the short term. Test Plan: ``` pytest test/quantization/quantize_/workflows/float8/test_float8_tensor.py -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 32b5009 ghstack-comment-id: 3480842282 Pull-Request: #3279
namgyu-youn
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* Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned]
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Summary:
Change the granularity for this scaling type from
PerBlock((1, 128)), PerBlock((128, 128))toPerBlock([1, 128]), PerBlock([128, 128]),to get around the current limitation of config serialization not
supporting tuples.
Error when serializing tuples:
https://gist.github.com/vkuzo/ab4d6aec83cb98ad9417898d2c024a2c
Supporting tuples and lists would be a better long term fix, but the
workaround will unblock further work in the short term.
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags: