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[ET-VK][ez][Ops] registering Q/DQ/CQP ops and specifying optimal storage #12200
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# Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12200
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit 9cea81b with merge base 1540659 ( NEW FAILURE - The following job has failed:
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This PR needs a
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
…ptimal storage" # Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
…ptimal storage" # Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
…ptimal storage" # Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
…ptimal storage" # Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
…ptimal storage" # Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
…ptimal storage" # Context Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers. # Changes This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred. Differential Revision: [D77746131](https://our.internmc.facebook.com/intern/diff/D77746131/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D77746131 |
e11834d
into
gh/ahmtox/28/base
Stack from ghstack (oldest at bottom):
Context
Certain quantization operators need scales and zeros to be set with a storage layout as buffers. Since the existing op_registry does not allow specifying how input parameters are set with their memory or storage layout, we need to specify that the optimal storage type is buffer so that is conversion pass is added to ensure that the inputs are also buffers.
Changes
This moves the quantized_decomposed operators in their own registration, while also specifying that buffer is preferred.
Differential Revision: D77746131