/external/tensorflow/tensorflow/core/kernels/ |
D | quantized_pooling_ops_test.cc | 55 const int input_channels = 2; in TEST_F() local 56 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F() 67 {1, expected_height, expected_width, input_channels}); in TEST_F() 100 const int input_channels = 2; in TEST_F() local 101 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F() 112 {1, expected_height, expected_width, input_channels}); in TEST_F()
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
D | runtime_single_threaded_conv2d.cc | 28 int64 input_channels, int64 kernel_rows, int64 kernel_cols, in __xla_cpu_runtime_EigenSingleThreadedConvF16() argument 36 input_cols, input_channels, kernel_rows, kernel_cols, kernel_channels, in __xla_cpu_runtime_EigenSingleThreadedConvF16() 45 int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, in __xla_cpu_runtime_EigenSingleThreadedConvF32() argument 53 input_cols, input_channels, kernel_rows, kernel_cols, kernel_channels, in __xla_cpu_runtime_EigenSingleThreadedConvF32()
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D | runtime_conv2d.cc | 29 int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, in __xla_cpu_runtime_EigenConvF32() argument 39 input_rows, input_cols, input_channels, kernel_rows, kernel_cols, in __xla_cpu_runtime_EigenConvF32() 48 int64 input_channels, int64 kernel_rows, int64 kernel_cols, in __xla_cpu_runtime_EigenConvF16() argument 58 input_rows, input_cols, input_channels, kernel_rows, kernel_cols, in __xla_cpu_runtime_EigenConvF16()
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D | runtime_conv2d.h | 27 tensorflow::int64 input_channels, tensorflow::int64 kernel_rows, 41 tensorflow::int64 input_cols, tensorflow::int64 input_channels,
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D | runtime_single_threaded_conv2d.h | 27 tensorflow::int64 input_cols, tensorflow::int64 input_channels, 41 tensorflow::int64 input_channels, tensorflow::int64 kernel_rows,
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D | runtime_conv2d_impl.h | 30 int64 input_cols, int64 input_channels, int64 kernel_rows, in EigenConvImpl() argument 40 input(lhs, input_batch, input_rows, input_cols, input_channels); in EigenConvImpl()
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D | ir_emitter.cc | 886 int64 input_channels = in HandleConvolution() local 970 ir_builder_.getInt64(input_channels), in HandleConvolution()
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/external/adhd/cras/src/server/ |
D | cras_dsp_pipeline.c | 126 int input_channels; member 452 pipeline->input_channels = ARRAY_COUNT( in cras_dsp_pipeline_create() 456 if (pipeline->output_channels > pipeline->input_channels) { in cras_dsp_pipeline_create() 742 return pipeline->input_channels; in cras_dsp_pipeline_get_num_input_channels() 824 unsigned int input_channels = pipeline->input_channels; in cras_dsp_pipeline_apply() local 826 float *source[input_channels]; in cras_dsp_pipeline_apply() 838 for (i = 0; i < input_channels; i++) in cras_dsp_pipeline_apply() 850 dsp_util_deinterleave(target, source, input_channels, chunk); in cras_dsp_pipeline_apply() 942 dumpf(d, " input channels: %d\n", pipeline->input_channels); in cras_dsp_pipeline_dump()
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/external/webrtc/webrtc/common_audio/include/ |
D | audio_util.h | 137 void DownmixToMono(const T* const* input_channels, in DownmixToMono() argument 142 Intermediate value = input_channels[0][i]; in DownmixToMono() 144 value += input_channels[j][i]; in DownmixToMono()
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/external/tensorflow/tensorflow/contrib/kfac/python/kernel_tests/ |
D | fisher_blocks_test.py | 556 self.input_channels = 6 561 self.input_channels).astype(np.float32) 569 self.input_channels, self.output_channels).astype( 604 batch_size, height, width, input_channels = inputs.shape 615 inputs = np.reshape(inputs, [batch_size, num_locations, input_channels]) 619 fisher_diag = np.zeros((input_channels, output_channels)) 622 example_fisher_diag = np.zeros((input_channels, output_channels)) 637 self.kernel_size, self.kernel_size, self.input_channels, 650 self.kernel_size, self.kernel_size, self.input_channels, 681 self.kernel_size, self.kernel_size, self.input_channels + 1,
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/external/webrtc/webrtc/modules/audio_processing/test/ |
D | debug_dump_test.cc | 45 int input_channels, 115 int input_channels, in DebugDumpGenerator() argument 121 : input_config_(input_rate_hz, input_channels), in DebugDumpGenerator() 123 output_config_(input_rate_hz, input_channels), in DebugDumpGenerator() 125 input_file_channels_(input_channels), in DebugDumpGenerator()
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/external/tensorflow/tensorflow/core/ops/ |
D | audio_ops.cc | 79 DimensionHandle input_channels = c->Dim(input, 1); in SpectrogramShapeFn() local 99 c->MakeShape({input_channels, output_length, output_channels})); in SpectrogramShapeFn()
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/external/tensorflow/tensorflow/core/util/ |
D | tensor_format.h | 506 const int64 input_channels = in ShapeFromFilterFormat() local 516 input_channels, output_channels); in ShapeFromFilterFormat() 523 input_channels, output_channels); in ShapeFromFilterFormat()
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/external/tensorflow/tensorflow/contrib/fused_conv/python/ops/ |
D | fused_conv2d_bias_activation_op_test.py | 800 input_channels = test_param["input_channels"] 815 [batch_size, input_channels // 4, input_height, input_width, 4], 823 output_channels, input_channels // 4, filter_height,
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/external/tensorflow/tensorflow/python/layers/ |
D | normalization_test.py | 106 batch, height, width, input_channels = 2, 4, 5, 3 107 shape = [batch, height, width, input_channels] 139 image_val = np.random.rand(batch, height, width, input_channels).astype( 168 batch, height, width, input_channels = 2, 4, 5, 3 169 shape = [batch, height, width, input_channels] 215 input_channels).astype(np.float32)
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/external/tensorflow/tensorflow/core/grappler/optimizers/ |
D | layout_optimizer_test.cc | 135 int input_channels = 3; in SimpleFusedBatchNormGrad() local 136 TensorShape shape({batch_size, input_height, input_width, input_channels}); in SimpleFusedBatchNormGrad() 143 TensorShape shape_vector({input_channels}); in SimpleFusedBatchNormGrad()
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/external/tensorflow/tensorflow/compiler/xla/service/ |
D | algebraic_simplifier.cc | 1944 const int64 input_channels = in HandleConvolution() local 1960 input_shape.element_type(), {conv_width, input_channels}); in HandleConvolution() 1965 filter_shape.element_type(), {input_channels, output_channels}); in HandleConvolution()
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/external/tensorflow/tensorflow/python/grappler/ |
D | layout_optimizer_test.py | 226 input_channels = 3 227 shape = [batch, height, width, input_channels]
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