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Searched refs:BatchNorm1d (Results 1 – 7 of 7) sorted by relevance

/dports/misc/ncnn/ncnn-20211208/tools/pnnx/tests/ncnn/
H A Dtest_nn_BatchNorm1d.py23 self.bn_0 = nn.BatchNorm1d(num_features=32)
24 self.bn_1 = nn.BatchNorm1d(num_features=32, eps=1e-1, affine=False)
25 self.bn_2 = nn.BatchNorm1d(num_features=11, affine=True)
/dports/misc/ncnn/ncnn-20211208/tools/pnnx/tests/
H A Dtest_nn_BatchNorm1d.py23 self.bn_0 = nn.BatchNorm1d(num_features=32)
24 self.bn_1 = nn.BatchNorm1d(num_features=32, eps=1e-1, affine=False)
25 self.bn_2 = nn.BatchNorm1d(num_features=11, affine=True)
H A Dtest_pnnx_fuse_linear_batchnorm1d.py24 self.bn_0 = nn.BatchNorm1d(num_features=16)
26 self.bn_1 = nn.BatchNorm1d(num_features=3)
/dports/misc/ncnn/ncnn-20211208/tools/pnnx/src/pass_level1/
H A Dnn_BatchNorm1d.cpp21 class BatchNorm1d : public FuseModulePass class
55 REGISTER_GLOBAL_PNNX_FUSE_MODULE_PASS(BatchNorm1d)
/dports/math/py-pytorchvideo/pytorchvideo-0.1.3/pytorchvideo/layers/
H A Dbatch_norm.py10 class NaiveSyncBatchNorm1d(nn.BatchNorm1d):
/dports/math/py-fvcore/fvcore-0.1.5.post20210924/fvcore/nn/
H A Dprecise_bn.py14 torch.nn.BatchNorm1d,
/dports/misc/ncnn/ncnn-20211208/tools/pnnx/
H A DREADME.md427 |nn.BatchNorm1d | :heavy_check_mark: | :heavy_check_mark: |