[quant] Make PerChannel Observer work with float qparams #42690
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Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
💊 CI failures summary and remediationsAs of commit 3086331 (more details on the Dr. CI page): 💚 💚 Looks good so far! There are no failures yet. 💚 💚 This comment was automatically generated by Dr. CI (expand for details).Follow this link to opt-out of these comments for your Pull Requests.Please report bugs/suggestions on the GitHub issue tracker or post in the (internal) Dr. CI Users group. This comment has been revised 45 times. |
vkuzo
reviewed
Aug 7, 2020
vkuzo
reviewed
Aug 7, 2020
vkuzo
reviewed
Aug 7, 2020
torch/quantization/observer.py
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| min_val = torch.min(min_val, torch.zeros_like(min_val)) | ||
| max_val = torch.max(max_val, torch.zeros_like(max_val)) |
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this code was a bit confusing (before this PR). Maybe we can rename these something like min_val_neg and max_val_pos in the rest of the function?
vkuzo
reviewed
Aug 7, 2020
torch/quantization/observer.py
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| else: | ||
| zero_point = zero_point.new_full(zero_point.size(), 128) | ||
| elif self.qscheme == torch.per_channel_affine_float_qparams: | ||
| scale = (orig_max - orig_min) / float(qmax - qmin) |
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ideally this should be max_val - min_val, since that's what is actually happening. The other qschemes are not using observed min and max directly.
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Right. Maybe I can rename the other usages so I can use max_val - min_val directly here
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
vkuzo
reviewed
Aug 8, 2020
jerryzh168
reviewed
Aug 8, 2020
vkuzo
approved these changes
Aug 8, 2020
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D23070633](https://our.internmc.facebook.com/intern/diff/D23070633) [ghstack-poisoned]
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D23070633](https://our.internmc.facebook.com/intern/diff/D23070633) [ghstack-poisoned]
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D23070633](https://our.internmc.facebook.com/intern/diff/D23070633) [ghstack-poisoned]
Contributor
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This pull request has been merged in 816d37b. |
MauiDesign
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Aug 16, 2020
Summary: Add implementation for new qscheme per_channel_affine_float_qparams in observer Test Plan: python test/test_quantization.py TestObserver.test_per_channel_observers Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 3788f49 Pull Request resolved: pytorch/pytorch#42690
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Stack from ghstack:
Summary:
Add implementation for new qscheme per_channel_affine_float_qparams in observer
Test Plan:
python test/test_quantization.py TestObserver.test_per_channel_observers
Reviewers:
Subscribers:
Tasks:
Tags:
Differential Revision: D23070633