decouple criterias from pruner #144
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WeiweiZhang1
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remove development pruner in criterias.py
WeiweiZhang1
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WeiweiZhang1
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Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
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examples/pytorch/object_detection/yolo_v5/pruning/pytorch_pruner/eager/README.md
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@WeiweiZhang1 shall you close this PR? |
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* enable innerproduct with SparseLib * fix the executor cmake * fix bugs * fix the dst shape * add gtest * update glog in SparseLib * enhance gtest * update SparseLib include * SparseLib API change
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* [SW-199696] Supporting Dynamic Quantization (#128) * Calculating dynamic scales using nn.Modules Change-Id: I8c344ae737803b39117037edaaa3d3b9cbd09f30 * [SW-199696] Supporting Dynamic Quantization Change-Id: Ic5d6f04ec0b5032ac305e1b3097747c47250385b * Code cleanup Change-Id: I213bc7438e06bd1002775066bfb0dc6f10e8a84a * Review changes and model print issue (circular dependency fix) Change-Id: I5c41d2f9a937416ce260f55cb045c86858dd201a * removed debug code from patching_common.py * Round 2 + CI import issue Change-Id: I27dbb33de8e027fb0b726336b38156b5d23a6896 * Fixed matmul issue in QuantDynamicInput after conflict + toggle hpu graph in test * remove set_cast..
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* [SW-199696] Supporting Dynamic Quantization (#128) * Calculating dynamic scales using nn.Modules Change-Id: I8c344ae737803b39117037edaaa3d3b9cbd09f30 * [SW-199696] Supporting Dynamic Quantization Change-Id: Ic5d6f04ec0b5032ac305e1b3097747c47250385b * Code cleanup Change-Id: I213bc7438e06bd1002775066bfb0dc6f10e8a84a * Review changes and model print issue (circular dependency fix) Change-Id: I5c41d2f9a937416ce260f55cb045c86858dd201a * removed debug code from patching_common.py * Round 2 + CI import issue Change-Id: I27dbb33de8e027fb0b726336b38156b5d23a6896 * Fixed matmul issue in QuantDynamicInput after conflict + toggle hpu graph in test * remove set_cast..
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Type of Change
architecture change、feature、bug fix and others
API not changed
Description
Adjust the pytorch-pruner architecture, decouple criterias from pruner.
Add progressive pruner.
Add Layer Minimum Sparsity Feature.
Add yolo-coco example.
detail description
JIRA ticket: https://jira.devtools.intel.com/browse/ILITV-2344
How has this PR been tested?
Pre-CI
how to reproduce the test (including hardware information)
Dependency Change?
any library dependency introduced or removed