Searched refs:sparse_default (Results 1 – 2 of 2) sorted by relevance
| /external/libopus/dnn/torch/osce/ |
| D | export_model_weights.py | 57 sparse_default=False variable
62 ('feature_net.conv2', dict(quantize=True, scale=None, sparse=sparse_default)),
63 ('feature_net.tconv', dict(quantize=True, scale=None, sparse=sparse_default)),
64 …True, scale=None, recurrent_scale=None, input_sparse=sparse_default, recurrent_sparse=sparse_defau…
74 ('post_cf1', dict(quantize=True, scale=None, sparse=sparse_default)),
75 ('post_cf2', dict(quantize=True, scale=None, sparse=sparse_default)),
76 ('post_af1', dict(quantize=True, scale=None, sparse=sparse_default)),
77 ('post_af2', dict(quantize=True, scale=None, sparse=sparse_default)),
78 ('post_af3', dict(quantize=True, scale=None, sparse=sparse_default))
83 ('feature_net.conv2', dict(quantize=True, scale=None, sparse=sparse_default)),
[all …]
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| /external/pytorch/test/ |
| D | test_tensor_creation_ops.py | 2723 sparse_default = torch.sparse_coo_tensor(indices, values, sparse_size)
2724 self.assertEqual(sparse_default.device, torch_device)
|