/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/internal/optimized/sparse_ops/ |
H A D | fully_connected.h | 47 const int batches = FlatSizeSkipDim(output_shape, output_dims_count - 1); in FullyConnectedSparseWeight() local 92 const int batches = thread_end - thread_start; in FullyConnectedSparseWeight1x16Impl() local 130 const int batches = thread_end - thread_start; in FullyConnectedSparseWeight1x4Impl() local 209 const int batches = in FullyConnectedSparseWeight1x16() local 234 const int batches = in FullyConnectedSparseWeight1x4() local
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/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
H A D | pooling.h | 34 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 AveragePool() local 147 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in L2Pool() local 201 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local 255 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local
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H A D | fully_connected.h | 44 const int batches = FlatSizeSkipDim(output_shape, output_dims_count - 1); in FullyConnected() local 89 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 136 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 189 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in ShuffledFullyConnected() local
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H A D | conv.h | 47 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Conv() local 137 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Conv() local 224 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in HybridConvPerChannel() local
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H A D | resize_bilinear.h | 66 int32_t batches = MatchingDim(input_shape, 0, output_shape, 0); in ResizeBilinear() local 154 const int32_t batches = MatchingDim(input_shape, 0, output_shape, 0); in ResizeBilinearInteger() local
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/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
H A D | fully_connected.h | 48 const int batches = output_shape.Dims(0); in FullyConnectedPerChannel() local 89 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnectedPerChannel() local 132 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local 174 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local
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H A D | pooling.h | 34 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 97 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local 152 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local 215 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local
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H A D | depthwise_conv.h | 51 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DepthwiseConvPerChannel() local 148 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DepthwiseConvPerChannel() local 231 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DepthwiseConvHybridPerChannel() local
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H A D | conv.h | 52 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in ConvPerChannel() local 163 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in ConvPerChannel() local
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/aosp_15_r20/external/igt-gpu-tools/tests/i915/ |
H A D | gem_exec_gttfill.c | 38 struct batch *batches = array; in xchg_batch() local 49 struct batch *batches, unsigned int count) in submit() 113 struct batch *batches; in fillgtt() local
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/aosp_15_r20/packages/modules/NeuralNetworks/common/ |
D | OperationsExecutionUtils.cpp | 333 uint32_t batches = getSizeOfDimension(input, 0); in depthToSpacePrepare() local 352 uint32_t batches = getSizeOfDimension(input, 0); in spaceToDepthPrepare() local 447 uint32_t batches = getSizeOfDimension(input, 0); in batchToSpacePrepare() local 480 uint32_t batches = getSizeOfDimension(input, 0); in spaceToBatchPrepare() local 646 uint32_t batches = getSizeOfDimension(input, 0); in groupedConvPrepare() local
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/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
H A D | im2col_utils.h | 139 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in DilatedIm2col() local 225 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Im2col() local 261 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in Im2col() local 388 const int batches = MatchingDim(input_shape, 0, im2col_shape, 0); in Im2col3D() local 428 const int batches = MatchingDim(input_shape, 0, im2col_shape, 0); in DilatedIm2col3D() local
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H A D | resize_bilinear.h | 265 inline void ResizeBilinear888Uint8(int32 batches, int32 input_height, in ResizeBilinear888Uint8() 1492 inline void ResizeBilinear2x2(int32 batches, int32 input_height, in ResizeBilinear2x2() 1512 int32 batches, int32 input_height, int32 input_width, int32 depth, in ResizeBilinearGeneric() 1565 int32 batches, int32 input_height, int32 input_width, int32 depth, in ResizeBilinearGenericSmallChannel() 1626 int32 batches = MatchingDim(input_shape, 0, output_shape, 0); in ResizeBilinear() local 1677 int32 batches = MatchingDim(input_shape, 0, output_shape, 0); in ResizeBilinear() local
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/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/ |
H A D | svdf_test.cc | 131 BaseSVDFOpModel(int batches, int units, int input_size, int memory_size, in BaseSVDFOpModel() 206 HybridSVDFOpModel(int batches, int units, int input_size, int memory_size, in HybridSVDFOpModel() 470 IntegerSVDFOpModel(int batches, int units, int input_size, int memory_size, in IntegerSVDFOpModel()
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H A D | fully_connected_test.cc | 138 TfLiteRegistration* registration, int units, int batches, in BaseFullyConnectedOpModel() 283 TfLiteRegistration* registration, int units, int batches, in QuantizedFullyConnectedOpModel() 358 TfLiteRegistration* registration, int units, int batches, in PerChannelQuantizedFullyConnectedOpModel() 404 HybridFullyConnectedOpModel(int units, int batches, const TensorData& input, in HybridFullyConnectedOpModel() 1054 int batches, FullyConnectedOptionsWeightsFormat weights_format) { in SimpleTestQuantizedInt16OutputCase() 1542 int batches, const TensorData& input, in SparseFullyConnectedOpModel()
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H A D | pooling3d.cc | 80 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool3D() local 160 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool3D() local 305 int batches = input->dims->data[0]; in GenericPrepare() local
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H A D | basic_rnn_test.cc | 173 RNNOpModel(int batches, int units, int size, in RNNOpModel() 235 HybridRNNOpModel(int batches, int units, int size, TensorType tensor_type, in HybridRNNOpModel()
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/aosp_15_r20/external/pytorch/aten/src/ATen/benchmarks/ |
H A D | quantize_per_channel.cpp | 7 const size_t batches = static_cast<size_t>(state.range(0)); in quantize_per_channel_4d_contiguous() local 25 const size_t batches = static_cast<size_t>(state.range(0)); in quantize_per_channel_4d_channels_last() local
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/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/perception/ |
H A D | max_unpooling_2d.cc | 37 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxUnpooling() local 85 int batches = input->dims->data[0]; in Prepare() local
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H A D | max_pool_with_argmax.cc | 42 const int32_t batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local 179 int batches = input->dims->data[0]; in Prepare() local
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/aosp_15_r20/external/armnn/src/backends/backendsCommon/test/layerTests/ |
H A D | TransposeConvolution2dTestImpl.cpp | 229 constexpr unsigned int batches = 1u; in SimpleTransposeConvolution2dTest() local 318 constexpr unsigned int batches = 1u; in PaddedTransposeConvolution2dTest() local 409 constexpr unsigned int batches = 1u; in StridedTransposeConvolution2dTest() local
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/aosp_15_r20/external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
H A D | fully_connected.h | 53 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnectedPerChannel() local 125 const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1); in FullyConnected() local
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H A D | pooling.h | 53 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in MaxPool() local 163 const int batches = MatchingDim(input_shape, 0, output_shape, 0); in AveragePool() local
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/aosp_15_r20/external/ComputeLibrary/tests/validation/reference/ |
H A D | Im2Col.cpp | 51 const int batches = src.shape().total_size_upper(3); in im2col_nchw() local 105 const int batches = src.shape().total_size_upper(3); in im2col_nhwc() local
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/aosp_15_r20/external/tensorflow/tensorflow/core/kernels/uniform_quant_ops/ |
H A D | uniform_quantized_dot_ops.cc | 61 const int64_t batches = output.dim_size(0); in DotWithAccFunctionAndOutputFunction() local 137 const int64_t batches = lhs.dim_size(0); in EvalHybridDot() local
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