| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/tests/unittest/train/ |
| H A D | test_embedding.py | 29 def sparse_grad(request): function
33 def test_csr_embedding(sparse_grad, hybridize): argument
54 def test_fasttext_embedding(sparse_grad, hybridize): argument
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| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/src/gluonnlp/model/ |
| H A D | sampled_block.py | 151 bias_initializer='zeros', sparse_grad=True, prefix=None, params=None): argument
278 sparse_grad=True, prefix=None, params=None): argument
367 sparse_grad=True, prefix=None, params=None): argument
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| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/src/gluonnlp/model/train/ |
| H A D | embedding.py | 104 sparse_grad=True, dtype='float32', **kwargs): argument
208 weight_initializer=None, sparse_grad=True, dtype='float32', argument
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| H A D | language_model.py | 421 sparse_weight=True, sparse_grad=True, **kwargs): argument
|
| /dports/math/py-theano/Theano-1.0.5/theano/ |
| H A D | __init__.py | 233 def sparse_grad(var): function
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| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/docs/examples/word_embedding/ |
| H A D | model.py | 59 sparse_grad=True, dtype='float32', **kwargs): argument
|
| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/word_embeddings/ |
| H A D | model.py | 59 sparse_grad=True, dtype='float32', **kwargs): argument
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| H A D | train_glove.py | 169 bias_initializer=mx.initializer.Zero(), sparse_grad=True, argument
|
| /dports/math/py-theano/Theano-1.0.5/theano/tensor/ |
| H A D | type.py | 44 def __init__(self, dtype, broadcastable, name=None, sparse_grad=False): argument
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| H A D | subtensor.py | 1696 def __init__(self, sparse_grad=False): argument
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/tensor/ |
| H A D | indexing_op.h | 94 bool sparse_grad; member
249 const bool sparse_grad = nnvm::get<EmbeddingParam>(attrs.parsed).sparse_grad; in EmbeddingOpBackwardStorageType() local
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/tensor/ |
| H A D | indexing_op.h | 94 bool sparse_grad; member
249 const bool sparse_grad = nnvm::get<EmbeddingParam>(attrs.parsed).sparse_grad; in EmbeddingOpBackwardStorageType() local
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/nn/ |
| H A D | basic_layers.py | 545 weight_initializer=None, sparse_grad=False, **kwargs): argument
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/nn/ |
| H A D | basic_layers.py | 545 weight_initializer=None, sparse_grad=False, **kwargs): argument
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/unittest/ |
| H A D | test_sparse_operator.py | 1863 def check_sparse_embedding(in_dim, out_dim, batch, densities, sparse_grad, weight_stype): argument
|
| H A D | test_gluon.py | 1188 def check_embedding(sparse_grad): argument
1198 def check_embedding_large_input(sparse_grad): argument
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/unittest/ |
| H A D | test_sparse_operator.py | 1863 def check_sparse_embedding(in_dim, out_dim, batch, densities, sparse_grad, weight_stype): argument
|
| H A D | test_gluon.py | 1188 def check_embedding(sparse_grad): argument
1198 def check_embedding_large_input(sparse_grad): argument
|
| /dports/math/py-theano/Theano-1.0.5/theano/sparse/ |
| H A D | basic.py | 1639 def __init__(self, axis=None, sparse_grad=True): argument
1710 def sp_sum(x, axis=None, sparse_grad=False): argument
|