Uses of Class
org.bytedeco.pytorch.T_TensorTensorTensorTensorTensor_T

Packages that use T_TensorTensorTensorTensorTensor_T

Package	Description
org.bytedeco.pytorch
org.bytedeco.pytorch.global

Uses of T_TensorTensorTensorTensorTensor_T in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return T_TensorTensorTensorTensorTensor_T

Modifier and Type	Method and Description
T_TensorTensorTensorTensorTensor_T	T_TensorTensorTensorTensorTensor_T.put(T_TensorTensorTensorTensorTensor_T x)

Methods in org.bytedeco.pytorch with parameters of type T_TensorTensorTensorTensorTensor_T

Modifier and Type	Method and Description
static Tensor	T_TensorTensorTensorTensorTensor_T.get0(T_TensorTensorTensorTensorTensor_T container)
static Tensor	T_TensorTensorTensorTensorTensor_T.get1(T_TensorTensorTensorTensorTensor_T container)
static Tensor	T_TensorTensorTensorTensorTensor_T.get2(T_TensorTensorTensorTensorTensor_T container)
static Tensor	T_TensorTensorTensorTensorTensor_T.get3(T_TensorTensorTensorTensorTensor_T container)
static Tensor	T_TensorTensorTensorTensorTensor_T.get4(T_TensorTensorTensorTensorTensor_T container)
T_TensorTensorTensorTensorTensor_T	T_TensorTensorTensorTensorTensor_T.put(T_TensorTensorTensorTensorTensor_T x)

Uses of T_TensorTensorTensorTensorTensor_T in org.bytedeco.pytorch.global

Methods in org.bytedeco.pytorch.global that return T_TensorTensorTensorTensorTensor_T

Modifier and Type	Method and Description
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4, Tensor input, TensorVector weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_outf(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state, Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn_outf(Tensor input, TensorVector weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state, Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor out4)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn(Tensor input, TensorArrayRef weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, LongArrayRef batch_sizes, TensorOptional dropout_state)
static T_TensorTensorTensorTensorTensor_T	torch.miopen_rnn(Tensor input, TensorVector weight, long weight_stride0, Tensor hx, TensorOptional cx, long mode, long hidden_size, long num_layers, boolean batch_first, double dropout, boolean train, boolean bidirectional, long[] batch_sizes, TensorOptional dropout_state)