Uses of Class
org.bytedeco.pytorch.T_TensorTensorTensorTensor_T

Packages that use T_TensorTensorTensorTensor_T

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

Uses of T_TensorTensorTensorTensor_T in org.bytedeco.pytorch

Methods in org.bytedeco.pytorch that return T_TensorTensorTensorTensor_T

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

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

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

Uses of T_TensorTensorTensorTensor_T in org.bytedeco.pytorch.global

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

Modifier and Type	Method and Description
static T_TensorTensorTensorTensor_T	torch.batch_norm_backward_reduce_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g)
static T_TensorTensorTensorTensor_T	torch.batch_norm_backward_reduce_outf(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g, Tensor out0, Tensor out1, Tensor out2, Tensor out3)
static T_TensorTensorTensorTensor_T	torch.batch_norm_backward_reduce(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, TensorOptional weight, boolean input_g, boolean weight_g, boolean bias_g)
static T_TensorTensorTensorTensor_T	torch.cudnn_batch_norm_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static T_TensorTensorTensorTensor_T	torch.cudnn_batch_norm_outf(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon, Tensor out0, Tensor out1, Tensor out2, Tensor out3)
static T_TensorTensorTensorTensor_T	torch.cudnn_batch_norm(Tensor input, Tensor weight, TensorOptional bias, TensorOptional running_mean, TensorOptional running_var, boolean training, double exponential_average_factor, double epsilon)
static T_TensorTensorTensorTensor_T	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets)
static T_TensorTensorTensorTensor_T	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset)
static T_TensorTensorTensorTensor_T	torch.embedding_bag(Tensor weight, Tensor indices, Tensor offsets, boolean scale_grad_by_freq, long mode, boolean sparse, TensorOptional per_sample_weights, boolean include_last_offset, LongOptional padding_idx)
static T_TensorTensorTensorTensor_T	torch.linalg_lstsq_out(Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values, Tensor self, Tensor b)
static T_TensorTensorTensorTensor_T	torch.linalg_lstsq_out(Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values, Tensor self, Tensor b, DoubleOptional rcond, StringViewOptional driver)
static T_TensorTensorTensorTensor_T	torch.linalg_lstsq_outf(Tensor self, Tensor b, DoubleOptional rcond, StringViewOptional driver, Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values)
static T_TensorTensorTensorTensor_T	torch.linalg_lstsq(Tensor self, Tensor b)
static T_TensorTensorTensorTensor_T	torch.linalg_lstsq(Tensor self, Tensor b, DoubleOptional rcond, StringViewOptional driver)
static T_TensorTensorTensorTensor_T	torch.lstsq(Tensor self, Tensor b, DoubleOptional cond, StringViewOptional driver)
static T_TensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, boolean reverse, long[] batch_sizes, long mode, long hidden_size, long num_layers, boolean has_biases, boolean bidirectional, boolean batch_first, boolean train)
static T_TensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_out(Tensor out0, Tensor out1, Tensor out2, Tensor out3, Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, boolean reverse, LongArrayRef batch_sizes, long mode, long hidden_size, long num_layers, boolean has_biases, boolean bidirectional, boolean batch_first, boolean train)
static T_TensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_outf(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, boolean reverse, long[] batch_sizes, long mode, long hidden_size, long num_layers, boolean has_biases, boolean bidirectional, boolean batch_first, boolean train, Tensor out0, Tensor out1, Tensor out2, Tensor out3)
static T_TensorTensorTensorTensor_T	torch.mkldnn_rnn_layer_outf(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, boolean reverse, LongArrayRef batch_sizes, long mode, long hidden_size, long num_layers, boolean has_biases, boolean bidirectional, boolean batch_first, boolean train, Tensor out0, Tensor out1, Tensor out2, Tensor out3)
static T_TensorTensorTensorTensor_T	torch.mkldnn_rnn_layer(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, boolean reverse, long[] batch_sizes, long mode, long hidden_size, long num_layers, boolean has_biases, boolean bidirectional, boolean batch_first, boolean train)
static T_TensorTensorTensorTensor_T	torch.mkldnn_rnn_layer(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, boolean reverse, LongArrayRef batch_sizes, long mode, long hidden_size, long num_layers, boolean has_biases, boolean bidirectional, boolean batch_first, boolean train)