/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_generator_test.py | 339 def _make_dataset(self, inputs, batches): argument 342 def _make_iterator(self, inputs, batches): argument 346 def _make_generator(self, inputs, batches): argument
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/external/tensorflow/tensorflow/core/kernels/ |
D | adjust_contrast_op_benchmark_test.cc | 24 static Graph* BM_AdjustContrast(int batches, int width, int height) { in BM_AdjustContrast()
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D | resize_op_benchmark_test.cc | 24 static Graph* BM_Resize(const char* algorithm, int batches, int width, in BM_Resize()
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D | crop_and_resize_op_benchmark_test.cc | 24 static Graph* BM_CropAndResize(int batches, int width, int height, int depth, in BM_CropAndResize()
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/external/mesa3d/src/gallium/drivers/freedreno/ |
D | freedreno_batch_cache.h | 50 struct fd_batch *batches[32]; member
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | fully_connected.h | 44 const int batches = FlatSizeSkipDim(output_shape, output_dims_count - 1); in FullyConnected() local 90 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 138 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 192 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in ShuffledFullyConnected() local
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D | depthwiseconv_float.h | 44 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DepthwiseConv() local
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D | depthwiseconv_uint8.h | 118 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Run() local
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
D | pooling.h | 31 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 92 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local
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D | fully_connected.h | 42 const int batches = output_shape.Dims(0); in FullyConnected() local
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D | conv.h | 50 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in ConvPerChannel() local
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D | depthwise_conv.h | 50 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DepthwiseConvPerChannel() local
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/external/mesa3d/src/mesa/main/ |
D | glthread.h | 79 struct glthread_batch batches[MARSHAL_MAX_BATCHES]; member
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/external/tensorflow/tensorflow/lite/kernels/ |
D | basic_rnn_test.cc | 176 RNNOpModel(int batches, int units, int size, in RNNOpModel() 236 HybridRNNOpModel(int batches, int units, int size, TensorType tensor_type) in HybridRNNOpModel()
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D | log_softmax_test.cc | 34 LogSoftmaxOpModel(int batches, int size) in LogSoftmaxOpModel()
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D | svdf_test.cc | 131 BaseSVDFOpModel(int batches, int units, int input_size, int memory_size, in BaseSVDFOpModel() 205 HybridSVDFOpModel(int batches, int units, int input_size, int memory_size, in HybridSVDFOpModel()
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D | unidirectional_sequence_rnn_test.cc | 175 int batches, int sequence_len, int units, int size, bool time_major, in UnidirectionalRNNOpModel() 250 HybridUnidirectionalRNNOpModel(int batches, int sequence_len, int units, in HybridUnidirectionalRNNOpModel()
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D | softmax_test.cc | 34 SoftmaxOpModel(int batches, int size, float beta) in SoftmaxOpModel()
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D | fully_connected_test.cc | 137 TfLiteRegistration* registration, int units, int batches, in BaseFullyConnectedOpModel() 276 HybridFullyConnectedOpModel(int units, int batches, const TensorData& input, in HybridFullyConnectedOpModel() 550 int batches, FullyConnectedOptionsWeightsFormat weights_format) { in SimpleTestQuantizedInt16OutputCase()
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D | depthwise_conv.cc | 131 int batches = SizeOfDimension(input, 0); in Prepare() local
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D | pooling.cc | 76 int batches = input->dims->data[0]; in GenericPrepare() local
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | multithreaded_conv.h | 153 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Conv() local
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D | optimized_ops.h | 1101 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnectedAsGEMV() local 1189 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 1254 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 1319 const int8* shuffled_weights_data, int batches, int output_depth, in ShuffledFullyConnectedWorkerImpl() 1656 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in ShuffledFullyConnected() local 2083 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DilatedIm2col() local 2157 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Im2col() local 3971 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 4043 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 4163 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local [all …]
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/external/tensorflow/tensorflow/contrib/hvx/hexagon_controller/src_impl/ |
D | graph_functions_wrapper.c | 213 const uint32_t nn_id, const uint32_t batches, const uint32_t height, in hexagon_controller_ExecuteGraph()
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/external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
D | optimized_ops.h | 1172 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 1262 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 1375 const int8* shuffled_weights_data, int batches, int output_depth, in ShuffledFullyConnectedWorkerImpl() 1712 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in ShuffledFullyConnected() local 1960 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DilatedIm2col() local 2058 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Im2col() local 4118 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 4182 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 4294 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local 4350 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local [all …]
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