| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | model_subclassing_test_util.py | 28 def __init__(self, num_classes=10): argument
42 def get_multi_io_subclass_model(use_bn=False, use_dp=False, num_classes=(2, 3)): argument
65 def __init__(self, num_classes=2): argument
85 def __init__(self, num_classes=2): argument
94 def get_functional_graph_model(input_dim, num_classes): argument
109 def get_nested_model_3(input_dim, num_classes): 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 | 46 CTCDecoder(int num_classes, int batch_size, bool merge_repeated) in CTCDecoder()
64 int num_classes() { return num_classes_; } in num_classes() function
79 CTCGreedyDecoder(int num_classes, int batch_size, bool merge_repeated) in CTCGreedyDecoder()
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| D | ctc_beam_search_test.cc | 109 const int num_classes = 6; in ctc_beam_search_decoding_with_and_without_dictionary() local
199 const int num_classes = 6; in ctc_beam_search_decoding_all_beam_elements_have_finite_scores() local
277 const int num_classes = 6; in ctc_beam_search_label_selection() local
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| /external/tensorflow/tensorflow/python/ops/ |
| D | confusion_matrix.py | 98 num_classes=None, argument
206 num_classes=None, argument
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| D | nn_impl.py | 1814 num_classes, argument
2001 num_classes, argument
2106 num_classes, argument
2218 num_classes, argument
2310 num_classes, argument
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| /external/tensorflow/tensorflow/python/keras/ |
| D | testing_utils.py | 65 num_classes, argument
450 def get_small_sequential_mlp(num_hidden, num_classes, input_dim=None): argument
461 def get_small_functional_mlp(num_hidden, num_classes, input_dim): argument
472 def __init__(self, num_hidden, num_classes, use_bn=False, use_dp=False): argument
497 def __init__(self, num_hidden, num_classes): argument
514 def get_small_subclass_mlp(num_hidden, num_classes): argument
518 def get_small_subclass_mlp_with_custom_build(num_hidden, num_classes): argument
522 def get_small_mlp(num_hidden, num_classes, input_dim): argument
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | in_topk_op_gpu.cu.cc | 43 int num_targets, int num_classes) { in ComputePredictionMaskKernel()
96 const Eigen::Index num_classes = predictions.dimension(1); in operator ()() local
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| 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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| D | one_hot_op_test.cc | 25 static Graph* OneHot(int batch_size, int num_classes, int axis) { in OneHot()
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| D | in_topk_op_test.cc | 36 static Graph* InTopK(int num_targets, int num_classes, T top_k) { in InTopK()
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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/lite/experimental/examples/lstm/ |
| D | input_data.py | 79 def _dense_to_one_hot(labels_dense, num_classes): argument
89 def _extract_labels(f, one_hot=False, num_classes=10): argument
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| /external/tensorflow/tensorflow/python/keras/saving/saved_model/ |
| D | revive_test.py | 153 def __init__(self, num_classes, name=None): argument
162 def __init__(self, num_classes, name=None): argument
176 def __init__(self, num_classes, name=None): argument
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| /external/tensorflow/tensorflow/python/ops/numpy_ops/integration_test/benchmarks/ |
| D | numpy_mlp.py | 34 def __init__(self, num_classes=NUM_CLASSES, input_size=INPUT_SIZE, argument
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| D | tf_numpy_mlp.py | 36 def __init__(self, num_classes=NUM_CLASSES, input_size=INPUT_SIZE, argument
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| /external/tensorflow/tensorflow/python/keras/preprocessing/ |
| D | text_dataset.py | 180 num_classes, argument
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| D | text_dataset_test.py | 35 num_classes=2, argument
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| D | dataset_utils.py | 201 def labels_to_dataset(labels, label_mode, num_classes): argument
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| /external/tensorflow/tensorflow/compiler/mlir/tfr/examples/mnist/ |
| D | mnist_train.py | 36 num_classes = 10 # total classes (0-9 digits). variable
|
| /external/tensorflow/tensorflow/lite/micro/kernels/ |
| D | detection_postprocess.cc | 96 int num_classes; member
171 const int num_classes = op_data->num_classes; in Prepare() local
502 const int num_classes = op_data->num_classes; in NonMaxSuppressionMultiClassRegularHelper() local
636 const int num_classes = op_data->num_classes; in NonMaxSuppressionMultiClassFastHelper() local
728 const int num_classes = op_data->num_classes; in NonMaxSuppressionMultiClass() local
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