| /external/libxaac/decoder/ |
| D | ixheaacd_create.c | 466 WORD32 num_layer; in ixheaacd_count_tracks_per_layer() local
475 num_layer = num_streams; in ixheaacd_count_tracks_per_layer()
477 num_layer = *max_layer; in ixheaacd_count_tracks_per_layer()
478 if (num_layer < 0) num_layer = num_streams; in ixheaacd_count_tracks_per_layer()
480 for (stream = 0; (layer <= num_layer) && (stream < num_streams);) { in ixheaacd_count_tracks_per_layer()
484 if (layer <= num_layer) *tracks_in_layer = 0; in ixheaacd_count_tracks_per_layer()
|
| D | ixheaacd_latmdemux.c | 110 for (lay = 0; lay < latm_element->num_layer; lay++) { in ixheaacd_latm_payload_length_info()
190 latm_element->num_layer = ixheaacd_read_bits_buf(it_bit_buff, 3) + 1; in ixheaacd_latm_stream_mux_config()
192 for (lay = 0; lay < latm_element->num_layer; lay++) { in ixheaacd_latm_stream_mux_config()
|
| D | ixheaacd_latmdemux.h | 49 UWORD32 num_layer; member
|
| /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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| /external/tensorflow/tensorflow/stream_executor/ |
| D | stream_executor_pimpl.cc | 427 StreamExecutor::createRnnStateTensorDescriptor(int num_layer, int batch_size, in createRnnStateTensorDescriptor() argument
435 return dnn_support->createRnnStateTensorDescriptor(num_layer, batch_size, in createRnnStateTensorDescriptor()
|
| D | stream_executor_pimpl.h | 429 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
|
| D | dnn.h | 2081 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
|
| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| D | cuda_dnn.h | 70 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
|
| D | cuda_dnn.cc | 1863 CudnnSupport::createRnnStateTensorDescriptor(int num_layer, int batch_size, in createRnnStateTensorDescriptor() argument
1867 new CudnnRnnStateTensorDescriptor(parent_, num_layer, batch_size, in createRnnStateTensorDescriptor()
|
| /external/tensorflow/tensorflow/stream_executor/rocm/ |
| D | rocm_dnn.h | 61 createRnnStateTensorDescriptor(int num_layer, int batch_size, int data_size,
|
| D | rocm_dnn.cc | 2311 MIOpenSupport::createRnnStateTensorDescriptor(int num_layer, int batch_size, in createRnnStateTensorDescriptor() argument
2315 new MIOpenRnnStateTensorDescriptor(num_layer, batch_size, data_size, in createRnnStateTensorDescriptor()
|