| /external/libxaac/decoder/ |
| D | ixheaacd_create.c | 468 WORD32 num_layer; in ixheaacd_count_tracks_per_layer() local
477 num_layer = num_streams; in ixheaacd_count_tracks_per_layer()
479 num_layer = *max_layer; in ixheaacd_count_tracks_per_layer()
480 if (num_layer < 0) num_layer = num_streams; in ixheaacd_count_tracks_per_layer()
482 for (stream = 0; (layer <= num_layer) && (stream < num_streams);) { in ixheaacd_count_tracks_per_layer()
486 if (layer <= num_layer) *tracks_in_layer = 0; in ixheaacd_count_tracks_per_layer()
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| D | ixheaacd_latmdemux.c | 107 for (lay = 0; lay < latm_element->num_layer; lay++) { in ixheaacd_latm_payload_length_info()
187 latm_element->num_layer = ixheaacd_read_bits_buf(it_bit_buff, 3) + 1; in ixheaacd_latm_stream_mux_config()
189 for (lay = 0; lay < latm_element->num_layer; lay++) { in ixheaacd_latm_stream_mux_config()
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| D | ixheaacd_latmdemux.h | 49 UWORD32 num_layer; member
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_CudnnRNNV3.pbtxt | 23 [num_layer * dir, batch_size, num_units]. If time_major is false, the shape
24 is [batch_size, num_layer * dir, num_units].
26 [num_layer * dir, batch, num_units]. For other models, it is ignored.
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| D | api_def_CudnnRNNBackpropV3.pbtxt | 23 [num_layer * dir, batch_size, num_units]. If time_major is false, the shape
24 is [batch_size, num_layer * dir, num_units].
26 [num_layer * dir, batch, num_units]. For other models, it is ignored.
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| D | api_def_CudnnRNN.pbtxt | 19 input_h: A 3-D tensor with the shape of [num_layer * dir, batch_size,
22 [num_layer * dir, batch, num_units]. For other models, it is ignored.
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| D | api_def_CudnnRNNV2.pbtxt | 20 input_h: A 3-D tensor with the shape of [num_layer * dir, batch_size,
23 [num_layer * dir, batch, num_units]. For other models, it is ignored.
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| D | api_def_CudnnRNNBackprop.pbtxt | 18 input_h: A 3-D tensor with the shape of [num_layer * dir, batch_size,
21 [num_layer * dir, batch, num_units]. For other models, it is ignored.
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| D | api_def_CudnnRNNBackpropV2.pbtxt | 21 input_h: A 3-D tensor with the shape of [num_layer * dir, batch_size,
24 [num_layer * dir, batch, num_units]. For other models, it is ignored.
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| /external/tensorflow/tensorflow/stream_executor/ |
| D | stream_executor_pimpl.cc | 412 StreamExecutor::createRnnStateTensorDescriptor(int num_layer, int batch_size, in createRnnStateTensorDescriptor() argument
420 return dnn_support->createRnnStateTensorDescriptor(num_layer, batch_size, in createRnnStateTensorDescriptor()
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| D | stream_executor_pimpl.h | 438 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
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| D | dnn.h | 2150 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size, in createRnnStateTensorDescriptor() argument
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| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| D | cuda_dnn.h | 71 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
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| D | cuda_dnn.cc | 2118 CudnnSupport::createRnnStateTensorDescriptor(int num_layer, int batch_size, in createRnnStateTensorDescriptor() argument
2122 new CudnnRnnStateTensorDescriptor(parent_, num_layer, batch_size, in createRnnStateTensorDescriptor()
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| /external/tensorflow/tensorflow/stream_executor/rocm/ |
| D | rocm_dnn.h | 98 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
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| D | rocm_dnn.cc | 2564 MIOpenSupport::createRnnStateTensorDescriptor(int num_layer, int batch_size, in createRnnStateTensorDescriptor() argument
2568 new MIOpenRnnStateTensorDescriptor(num_layer, batch_size, data_size, in createRnnStateTensorDescriptor()
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