| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| D | stat_utils.cc | 33 float GiniImpurity(const LeafStat& stats, int32 num_classes) { in GiniImpurity()
40 float WeightedGiniImpurity(const LeafStat& stats, int32 num_classes) { in WeightedGiniImpurity()
74 float SmoothedGini(float sum, float square, int num_classes) { in SmoothedGini()
80 float WeightedSmoothedGini(float sum, float square, int num_classes) { in WeightedSmoothedGini()
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| D | resnet_v2.py | 132 num_classes=None, argument
265 num_classes=None, argument
291 num_classes=None, argument
317 num_classes=None, argument
343 num_classes=None, argument
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| D | resnet_v1.py | 130 num_classes=None, argument
252 num_classes=None, argument
278 num_classes=None, argument
304 num_classes=None, argument
330 num_classes=None, argument
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| D | vgg.py | 75 num_classes=1000, argument
140 num_classes=1000, argument
205 num_classes=1000, argument
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| D | overfeat.py | 60 num_classes=1000, argument
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| D | alexnet.py | 64 num_classes=1000, argument
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| D | inception_v1.py | 305 num_classes=1000, argument
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| /external/tensorflow/tensorflow/lite/experimental/kernels/ |
| D | ctc_decoder.h | 43 CTCDecoder(int num_classes, int batch_size, bool merge_repeated) in CTCDecoder()
61 int num_classes() { return num_classes_; } in num_classes() function
74 CTCGreedyDecoder(int num_classes, int batch_size, bool merge_repeated) in CTCGreedyDecoder()
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| /external/tensorflow/tensorflow/core/util/ctc/ |
| D | ctc_decoder.h | 43 CTCDecoder(int num_classes, int batch_size, bool merge_repeated) in CTCDecoder()
61 int num_classes() { return num_classes_; } in num_classes() function
74 CTCGreedyDecoder(int num_classes, int batch_size, bool merge_repeated) in CTCGreedyDecoder()
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| D | ctc_loss_calculator.h | 123 auto num_classes = inputs[0].cols(); in CalculateLoss() local
280 int batch_size, int num_classes, const Vector& seq_len, in PopulateLPrimes()
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| D | ctc_beam_search_test.cc | 107 const int num_classes = 6; in TEST() local
187 const int num_classes = 6; in TEST() local
257 const int num_classes = 6; in TEST() local
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| /external/tensorflow/tensorflow/python/keras/ |
| D | testing_utils.py | 43 num_classes, argument
288 def get_small_sequential_mlp(num_hidden, num_classes, input_dim=None): argument
300 def get_small_functional_mlp(num_hidden, num_classes, input_dim): argument
311 def __init__(self, num_hidden, num_classes): argument
325 def __init__(self, num_hidden, num_classes): argument
342 def get_small_subclass_mlp(num_hidden, num_classes): argument
346 def get_small_subclass_mlp_with_custom_build(num_hidden, num_classes): argument
350 def get_small_mlp(num_hidden, num_classes, input_dim): argument
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| /external/tensorflow/tensorflow/python/ops/ |
| D | confusion_matrix.py | 96 num_classes=None, argument
206 num_classes=None, argument
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| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
| D | tree_utils_test.cc | 98 const int32 num_classes = 4; in TEST() local
116 const int32 num_classes = 4; in TEST() local
135 const int32 num_classes = 4; in TEST() local
169 const int32 num_classes = 4; in TEST() local
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| D | tree_utils.cc | 68 const Eigen::Tensor<float, 1, Eigen::RowMajor>& rights, int32 num_classes, in ClassificationSplitScore()
86 const int32 num_classes = in GetTwoBestClassification() local
238 const int32 num_classes = in MakeBootstrapWeights() local
284 const int32 num_classes = in BestSplitDominatesClassificationBootstrap() local
328 const int32 num_classes = in BestSplitDominatesClassificationHoeffding() local
349 const int32 num_classes = in DirichletCovarianceTrace() local
376 const int32 num_classes = in getDirichletMean() local
511 const int32 num_classes = in BestSplitDominatesClassificationChebyshev() local
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| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| D | sampling_ops.py | 116 num_classes, argument
252 num_classes, argument
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| /external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| D | confusion_matrix_ops.py | 25 def confusion_matrix(labels, predictions, num_classes=None, dtype=dtypes.int32, argument
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| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | np_utils.py | 25 def to_categorical(y, num_classes=None, dtype='float32'): argument
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | xent_op_test.cc | 24 static Graph* Xent(int batch_size, int num_classes) { in Xent()
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| D | softmax_op_functor.h | 50 const int num_classes = logits.dimension(kClassDim); in Compute() local
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| D | sparse_xent_op_test.cc | 26 static Graph* SparseXent(int batch_size, int num_classes) { in SparseXent()
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| D | xent_op.h | 70 const int num_classes = shape[kClassDim]; in Compute() local
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| D | multinomial_op_test.cc | 27 static Graph* Multinomial(int batch_size, int num_classes, int num_samples) { in Multinomial()
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
| D | mnist.py | 76 def dense_to_one_hot(labels_dense, num_classes): argument
86 def extract_labels(f, one_hot=False, num_classes=10): argument
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | graph_placer_test.py | 39 num_classes=1024, argument
|