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Searched defs:num_classes (Results 1 – 25 of 69) sorted by relevance

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/external/tensorflow/tensorflow/lite/kernels/ctc/
Dctc_decoder.h43 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()
/external/tensorflow/tensorflow/core/util/ctc/
Dctc_decoder.h46 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()
Dctc_beam_search_test.cc109 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
Dctc_loss_calculator.h131 auto num_classes = inputs[0].cols(); in CalculateLoss() local
289 int batch_size, int num_classes, const Vector& seq_len, in PopulateLPrimes()
/external/tensorflow/tensorflow/python/ops/
Dconfusion_matrix.py94 num_classes=None, argument
202 num_classes=None, argument
Dnn_impl.py1830 num_classes, argument
2017 num_classes, argument
2122 num_classes, argument
2234 num_classes, argument
2326 num_classes, argument
/external/tensorflow/tensorflow/python/keras/
Dtesting_utils.py60 num_classes, argument
422 def get_small_sequential_mlp(num_hidden, num_classes, input_dim=None): argument
433 def get_small_functional_mlp(num_hidden, num_classes, input_dim): argument
446 num_classes, argument
474 def __init__(self, num_hidden, num_classes): argument
491 def get_small_subclass_mlp(num_hidden, num_classes): argument
495 def get_small_subclass_mlp_with_custom_build(num_hidden, num_classes): argument
499 def get_small_mlp(num_hidden, num_classes, input_dim): argument
/external/tensorflow/tensorflow/core/kernels/
Din_topk_op_gpu.cu.cc43 int num_targets, int num_classes) { in ComputePredictionMaskKernel()
96 const Eigen::Index num_classes = predictions.dimension(1); in operator ()() local
Dxent_op.h70 const int num_classes = shape[kClassDim]; in Compute() local
Dsoftmax_op_functor.h50 const int num_classes = logits.dimension(kClassDim); in Compute() local
Dxent_op_test.cc25 static Graph* Xent(int batch_size, int num_classes, DataType type) { in Xent()
Dmultinomial_op_test.cc27 static Graph* Multinomial(int batch_size, int num_classes, int num_samples) { in Multinomial()
Done_hot_op_test.cc25 static Graph* OneHot(int batch_size, int num_classes, int axis) { in OneHot()
Dsparse_xent_op_test.cc27 static Graph* SparseXent(int batch_size, int num_classes, DataType type) { in SparseXent()
Din_topk_op_test.cc36 static Graph* InTopK(int num_targets, int num_classes, T top_k) { in InTopK()
Dctc_loss_op.cc122 const int num_classes = static_cast<const int>(num_classes_raw); in Compute() local
298 const int num_classes = static_cast<const int>(num_classes_raw); in Compute() local
Dmultinomial_op_gpu.cu.cc42 __global__ void MultinomialKernel(int32 nthreads, const int32 num_classes, in MultinomialKernel()
/external/tensorflow/tensorflow/python/keras/utils/
Dnp_utils.py22 def to_categorical(y, num_classes=None, dtype='float32'): argument
/external/tensorflow/tensorflow/python/ops/numpy_ops/integration_test/benchmarks/
Dnumpy_mlp.py30 def __init__(self, num_classes=NUM_CLASSES, input_size=INPUT_SIZE, argument
Dtf_numpy_mlp.py32 def __init__(self, num_classes=NUM_CLASSES, input_size=INPUT_SIZE, argument
/external/ComputeLibrary/src/cpu/kernels/boundingboxtransform/generic/neon/
Dimpl.cpp32 const size_t num_classes = deltas->info()->tensor_shape()[0] >> 2; in bounding_box_transform_qsymm16() local
89 const size_t num_classes = deltas->info()->tensor_shape()[0] >> 2; in bounding_box_transform() local
/external/armnn/tests/TfLiteYoloV3Big-Armnn/
DNMS.hpp14 unsigned int num_classes{0}; /**< Number of classes in the detected boxes */ member
/external/tensorflow/tensorflow/compiler/mlir/tfr/examples/mnist/
Dmnist_train.py32 num_classes = 10 # total classes (0-9 digits). variable
/external/tensorflow/tensorflow/lite/kernels/
Ddetection_postprocess.cc95 int num_classes; member
507 int num_classes; member
637 const int num_classes = op_data->num_classes; in NonMaxSuppressionMultiClassRegularHelper() local
776 const int num_classes = op_data->num_classes; in NonMaxSuppressionMultiClassFastHelper() local
858 const int num_classes = op_data->num_classes; in NonMaxSuppressionMultiClass() local
/external/ComputeLibrary/src/core/CPP/kernels/
DCPPBoxWithNonMaximaSuppressionLimitKernel.cpp201 const int num_classes = _scores_in->info()->dimension(0); in run_nmslimit() local
352 const unsigned int num_classes = scores_in->info()->dimension(0); in configure() local

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