Update QAT READMEs using new APIs #1541
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Summary: #1415 added a quantize_ QAT API for the prepare path. This commit adds the remaining convert path for users to actually perform end-to-end QAT using the quantize_ API. The new flow will look like: ``` from torchao.quantization import ( quantize_, int8_dynamic_activation_int4_weight, ) from torchao.quantization.qat import ( FakeQuantizeConfig, from_intx_quantization_aware_training, intx_quantization_aware_training, ) activation_config = FakeQuantizeConfig(torch.int8, "per_token", is_symmetric=False) weight_config = FakeQuantizeConfig(torch.int4, group_size=32) quantize_( my_model, intx_quantization_aware_training(activation_config, weight_config), ) quantize_(my_model, from_intx_quantization_aware_training()) quantize_(my_model, int8_dynamic_activation_int4_weight(group_size=32)) ``` Test Plan: python test/quantization/test_qat.py -k test_quantize_api_convert_path [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1541
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 3dce6a3 with merge base b5b739b ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
andrewor14
added
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topic: documentation
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
Add references to new QAT APIs including `quantize_`, `FakeQuantizedX`, and the new embedding Quantizers and ComposableQATQuantizer. Also link to new QAT + LoRA recipe in torchtune. [ghstack-poisoned]
jerryzh168
reviewed
Jan 10, 2025
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| ### Quantizer API (legacy) |
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is there a deprecation plan for this API?
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Not yet, but will come up with one
jerryzh168
approved these changes
Jan 10, 2025
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Stack from ghstack (oldest at bottom):
Add references to new QAT APIs including
quantize_,FakeQuantizedX, and the new embedding Quantizers andComposableQATQuantizer. Also link to new QAT + LoRA recipe
in torchtune.
To review on github: Files changed -> README.md -> View file