LINGAO XIAO e7b2430818 add pruning method: Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (#95689) ... add `class FPGMStructured` add `function FPGM_structured()` add `function _validate_distance_type()` add `function _compute_distance()` Implement method mentioned in issue #39765 --- FPGMSparsifier Implement with the new pytorch pruning API torch.ao.pruning. It is a structured pruning method, and it is added under torch.ao.pruning._experimental. Test cases are added at `test_structured_sparsifier.py`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/95689 Approved by: https://github.com/jcaip		2023-08-02 16:24:42 +00:00
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test_activation_sparsifier.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_composability.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_data_scheduler.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_data_sparsifier.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_kernels.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_parametrization.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_qlinear_packed_params.py	Use Variable Size Indices in Sparse Qlinear Code (#85247)	2022-10-13 05:50:04 +00:00
test_scheduler.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_sparsifier.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_sparsity_utils.py	[BE] Enable ruff's UP rules and autoformat ao/ (#105430)	2023-07-19 13:44:37 +00:00
test_structured_sparsifier.py	add pruning method: Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (#95689)	2023-08-02 16:24:42 +00:00