Type cudnn_rnn_ops
Namespace tensorflow.contrib.cudnn_rnn.python.ops.cudnn_rnn_ops
Methods
- check_direction
- check_direction_dyn
- check_input_mode
- check_input_mode_dyn
- cudnn_gru
- cudnn_gru_dyn
- cudnn_lstm
- cudnn_lstm_dyn
- cudnn_rnn_canonical_to_opaque_params
- cudnn_rnn_canonical_to_opaque_params
- cudnn_rnn_canonical_to_opaque_params_dyn
- cudnn_rnn_opaque_params_size
- cudnn_rnn_opaque_params_size
- cudnn_rnn_opaque_params_size_dyn
- cudnn_rnn_opaque_params_to_canonical
- cudnn_rnn_opaque_params_to_canonical
- cudnn_rnn_opaque_params_to_canonical_dyn
- cudnn_rnn_relu
- cudnn_rnn_relu_dyn
- cudnn_rnn_tanh
- cudnn_rnn_tanh_dyn
Properties
- _CudnnRNN_fn
- _CudnnRNNNoInputC_fn
- check_direction_fn
- check_input_mode_fn
- cudnn_gru_fn
- cudnn_lstm_fn
- cudnn_rnn_canonical_to_opaque_params_fn
- cudnn_rnn_opaque_params_size_fn
- cudnn_rnn_opaque_params_to_canonical_fn
- cudnn_rnn_relu_fn
- cudnn_rnn_tanh_fn
- CudnnCompatibleGRUCell_fn
- CudnnCompatibleLSTMCell_fn
- CudnnGRU_fn
- CudnnGRUSaveable_fn
- CudnnLSTM_fn
- CudnnLSTMSaveable_fn
- CudnnOpaqueParamsSaveable_fn
- CudnnParamsFormatConverter_fn
- CudnnParamsFormatConverterBasic_fn
- CudnnParamsFormatConverterGRU_fn
- CudnnParamsFormatConverterLSTM_fn
- CudnnParamsFormatConverterRelu_fn
- CudnnParamsFormatConverterTanh_fn
- CudnnRNNRelu_fn
- CudnnRNNReluSaveable_fn
- CudnnRNNTanh_fn
- CudnnRNNTanhSaveable_fn
Fields
Public static methods
void check_direction(string direction)
object check_direction_dyn(object direction)
void check_input_mode(string input_mode)
object check_input_mode_dyn(object input_mode)
ValueTuple<object, object> cudnn_gru(object inputs, object input_h, object params, object is_training, object sequence_lengths, bool time_major, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, double dropout, int seed, string name)
object cudnn_gru_dyn(object inputs, object input_h, object params, object is_training, object sequence_lengths, ImplicitContainer<T> time_major, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object name)
ValueTuple<object, object, object> cudnn_lstm(object inputs, object input_h, object input_c, object params, object is_training, object sequence_lengths, bool time_major, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, double dropout, int seed, object num_proj, string name)
object cudnn_lstm_dyn(object inputs, object input_h, object input_c, object params, object is_training, object sequence_lengths, ImplicitContainer<T> time_major, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object num_proj, object name)
Tensor cudnn_rnn_canonical_to_opaque_params(string rnn_mode, int num_layers, int num_units, Nullable<int> input_size, IEnumerable<IGraphNodeBase> weights, IEnumerable<IGraphNodeBase> biases, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, int dropout, Nullable<int> seed, object num_proj, string name)
Tensor cudnn_rnn_canonical_to_opaque_params(string rnn_mode, int num_layers, int num_units, Nullable<int> input_size, IEnumerable<IGraphNodeBase> weights, IEnumerable<IGraphNodeBase> biases, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, double dropout, Nullable<int> seed, object num_proj, string name)
object cudnn_rnn_canonical_to_opaque_params_dyn(object rnn_mode, object num_layers, object num_units, object input_size, object weights, object biases, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object num_proj, object name)
object cudnn_rnn_opaque_params_size(string rnn_mode, object num_layers, object num_units, object input_size, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dtype, double dropout, int seed, object num_proj, string name)
object cudnn_rnn_opaque_params_size(string rnn_mode, object num_layers, object num_units, object input_size, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dtype, int dropout, int seed, object num_proj, string name)
object cudnn_rnn_opaque_params_size_dyn(object rnn_mode, object num_layers, object num_units, object input_size, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dtype, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object num_proj, object name)
ValueTuple<object, object> cudnn_rnn_opaque_params_to_canonical(object rnn_mode, object num_layers, object num_units, object input_size, object params, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, double dropout, int seed, object num_proj, string name)
ValueTuple<object, object> cudnn_rnn_opaque_params_to_canonical(object rnn_mode, object num_layers, object num_units, object input_size, object params, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, int dropout, int seed, object num_proj, string name)
object cudnn_rnn_opaque_params_to_canonical_dyn(object rnn_mode, object num_layers, object num_units, object input_size, object params, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object num_proj, object name)
ValueTuple<object, object> cudnn_rnn_relu(object inputs, object input_h, object params, object is_training, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, double dropout, int seed, object sequence_lengths, bool time_major, string name)
object cudnn_rnn_relu_dyn(object inputs, object input_h, object params, object is_training, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object sequence_lengths, ImplicitContainer<T> time_major, object name)
ValueTuple<object, object> cudnn_rnn_tanh(object inputs, object input_h, object params, object is_training, object sequence_lengths, bool time_major, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, double dropout, int seed, string name)
object cudnn_rnn_tanh_dyn(object inputs, object input_h, object params, object is_training, object sequence_lengths, ImplicitContainer<T> time_major, ImplicitContainer<T> input_mode, ImplicitContainer<T> direction, ImplicitContainer<T> dropout, ImplicitContainer<T> seed, object name)
Public properties
PythonFunctionContainer _CudnnRNN_fn get;
PythonFunctionContainer _CudnnRNNNoInputC_fn get;
PythonFunctionContainer check_direction_fn get;
PythonFunctionContainer check_input_mode_fn get;
PythonFunctionContainer cudnn_gru_fn get;
PythonFunctionContainer cudnn_lstm_fn get;
PythonFunctionContainer cudnn_rnn_canonical_to_opaque_params_fn get;
PythonFunctionContainer cudnn_rnn_opaque_params_size_fn get;
PythonFunctionContainer cudnn_rnn_opaque_params_to_canonical_fn get;
PythonFunctionContainer cudnn_rnn_relu_fn get;
PythonFunctionContainer cudnn_rnn_tanh_fn get;
PythonFunctionContainer CudnnCompatibleGRUCell_fn get;
PythonFunctionContainer CudnnCompatibleLSTMCell_fn get;
PythonFunctionContainer CudnnGRU_fn get;
PythonFunctionContainer CudnnGRUSaveable_fn get;
PythonFunctionContainer CudnnLSTM_fn get;
PythonFunctionContainer CudnnLSTMSaveable_fn get;
PythonFunctionContainer CudnnOpaqueParamsSaveable_fn get;
PythonFunctionContainer CudnnParamsFormatConverter_fn get;
PythonFunctionContainer CudnnParamsFormatConverterBasic_fn get;
PythonFunctionContainer CudnnParamsFormatConverterGRU_fn get;
PythonFunctionContainer CudnnParamsFormatConverterLSTM_fn get;
PythonFunctionContainer CudnnParamsFormatConverterRelu_fn get;
PythonFunctionContainer CudnnParamsFormatConverterTanh_fn get;
PythonFunctionContainer CudnnRNNRelu_fn get;
PythonFunctionContainer CudnnRNNReluSaveable_fn get;
PythonFunctionContainer CudnnRNNTanh_fn get;
PythonFunctionContainer CudnnRNNTanhSaveable_fn get;
Public fields
string CUDNN_RNN_UNIDIRECTION
return string
|
string CUDNN_LSTM
return string
|
string CUDNN_RNN_BIDIRECTION
return string
|
string CUDNN_GRU
return string
|
int CUDNN_LSTM_PARAMS_PER_LAYER
return int
|
string CUDNN_RNN_RELU
return string
|
int CUDNN_GRU_PARAMS_PER_LAYER
return int
|
string CUDNN_RNN_TANH
return string
|
int CUDNN_RNN_TANH_PARAMS_PER_LAYER
return int
|
int CUDNN_RNN_RELU_PARAMS_PER_LAYER
return int
|
string CUDNN_INPUT_LINEAR_MODE
return string
|
string CUDNN_INPUT_SKIP_MODE
return string
|
string CUDNN_INPUT_AUTO_MODE
return string
|