| /external/tensorflow/tensorflow/core/kernels/ |
| D | mkl_requantize_ops_test.cc | 119 const int input_channels = 2; in TEST_F() local
123 {1, input_height, input_width, input_channels}); in TEST_F()
153 AddInputFromArray<float>(TensorShape({input_channels}), {ch1_min, ch2_min}); in TEST_F()
154 AddInputFromArray<float>(TensorShape({input_channels}), {ch1_max, ch2_max}); in TEST_F()
180 const int input_channels = 2; in TEST_F() local
184 {1, input_height, input_width, input_channels}); in TEST_F()
214 AddInputFromArray<float>(TensorShape({input_channels}), {ch1_min, ch2_min}); in TEST_F()
215 AddInputFromArray<float>(TensorShape({input_channels}), {ch1_max, ch2_max}); in TEST_F()
238 const int input_channels = 2; in TEST_F() local
242 {1, input_height, input_width, input_channels}); in TEST_F()
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| 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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| D | mkl_quantized_pooling_ops_test.cc | 85 const int input_channels = 2; in TEST_F() local
86 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F()
105 {1, expected_height, expected_width, input_channels}); in TEST_F()
154 const int input_channels = 2; in TEST_F() local
155 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F()
174 {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_mkl.cc | 54 int64 input_cols, int64 input_channels, int64 kernel_rows, in MKLConvImpl() argument
68 memory::dims conv1_src_dim = {ToInt(input_batch), ToInt(input_channels), in MKLConvImpl()
154 int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, in __xla_cpu_runtime_MKLConvF32() argument
166 input_channels, kernel_rows, kernel_cols, kernel_channels, in __xla_cpu_runtime_MKLConvF32()
172 input_channels, kernel_rows, kernel_cols, kernel_channels, in __xla_cpu_runtime_MKLConvF32()
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| D | runtime_single_threaded_conv2d.h | 28 tensorflow::int64 input_cols, tensorflow::int64 input_channels,
42 tensorflow::int64 input_channels, tensorflow::int64 kernel_rows,
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| D | runtime_conv2d.h | 28 tensorflow::int64 input_channels, tensorflow::int64 kernel_rows,
42 tensorflow::int64 input_cols, tensorflow::int64 input_channels,
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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 | runtime_conv2d_mkl.h | 28 tensorflow::int64 input_channels, tensorflow::int64 kernel_rows,
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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()
831 unsigned int input_channels = pipeline->input_channels; in cras_dsp_pipeline_apply() local
833 float *source[input_channels]; in cras_dsp_pipeline_apply()
844 for (i = 0; i < input_channels; i++) in cras_dsp_pipeline_apply()
856 rc = dsp_util_deinterleave(buf, source, input_channels, in cras_dsp_pipeline_apply()
955 dumpf(d, " input channels: %d\n", pipeline->input_channels); in cras_dsp_pipeline_dump()
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| /external/skqp/third_party/skcms/ |
| D | skcms.cc | 406 uint8_t input_channels [ 1]; member
434 a2b->input_channels = mftTag->input_channels[0]; in read_mft_common()
442 if (a2b->input_channels < 1 || a2b->input_channels > ARRAY_COUNT(a2b->input_curves)) { in read_mft_common()
446 for (uint32_t i = 0; i < a2b->input_channels; ++i) { in read_mft_common()
465 uint32_t byte_len_all_input_tables = a2b->input_channels * byte_len_per_input_table; in init_a2b_tables()
469 for (uint32_t axis = 0; axis < a2b->input_channels; ++axis) { in init_a2b_tables()
477 for (uint32_t i = 0; i < a2b->input_channels; ++i) { in init_a2b_tables()
581 uint8_t input_channels [ 1]; member
605 a2b->input_channels = mABTag->input_channels[0]; in read_tag_mab()
613 if (a2b->input_channels > ARRAY_COUNT(a2b->input_curves)) { in read_tag_mab()
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| D | skcms.h | 71 uint32_t input_channels; member
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| /external/skia/third_party/skcms/ |
| D | skcms.cc | 406 uint8_t input_channels [ 1]; member
434 a2b->input_channels = mftTag->input_channels[0]; in read_mft_common()
442 if (a2b->input_channels < 1 || a2b->input_channels > ARRAY_COUNT(a2b->input_curves)) { in read_mft_common()
446 for (uint32_t i = 0; i < a2b->input_channels; ++i) { in read_mft_common()
465 uint32_t byte_len_all_input_tables = a2b->input_channels * byte_len_per_input_table; in init_a2b_tables()
469 for (uint32_t axis = 0; axis < a2b->input_channels; ++axis) { in init_a2b_tables()
477 for (uint32_t i = 0; i < a2b->input_channels; ++i) { in init_a2b_tables()
581 uint8_t input_channels [ 1]; member
605 a2b->input_channels = mABTag->input_channels[0]; in read_tag_mab()
613 if (a2b->input_channels > ARRAY_COUNT(a2b->input_curves)) { in read_tag_mab()
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| D | skcms.h | 71 uint32_t input_channels; member
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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/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/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/util/ |
| D | tensor_format.h | 611 const int64 input_channels = in ShapeFromFilterFormat() local
621 input_channels, output_channels); in ShapeFromFilterFormat()
628 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_base.py | 859 input_channels = test_param["input_channels"]
875 [batch_size, input_channels // 4, input_height, input_width, 4],
882 output_channels, input_channels // 4, filter_height, filter_width,
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| /external/tensorflow/tensorflow/python/layers/ |
| D | normalization_test.py | 108 batch, height, width, input_channels = 2, 4, 5, 3
109 shape = [batch, height, width, input_channels]
141 image_val = np.random.rand(batch, height, width, input_channels).astype(
170 batch, height, width, input_channels = 2, 4, 5, 3
171 shape = [batch, height, width, input_channels]
217 input_channels).astype(np.float32)
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| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| D | layout_optimizer_test.cc | 194 int input_channels = 3; in SimpleFusedBatchNormGrad() local
195 TensorShape shape({batch_size, input_height, input_width, input_channels}); in SimpleFusedBatchNormGrad()
202 TensorShape shape_vector({input_channels}); in SimpleFusedBatchNormGrad()
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| /external/skia/third_party/skcms/src/ |
| D | Transform_inl.h | 570 const int dim = (int)a2b->input_channels; in clut()
974 if (a2b->input_channels == 4) { in exec_ops()
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| /external/skqp/third_party/skcms/src/ |
| D | Transform_inl.h | 570 const int dim = (int)a2b->input_channels; in clut()
974 if (a2b->input_channels == 4) { in exec_ops()
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | layout_optimizer_test.py | 230 input_channels = 3
231 shape = [batch, height, width, input_channels]
|