torch.rb in torch-rb-0.13.1

- old
+ new
@@ -1,205 +1,205 @@
 # ext
-require "torch/ext"
+require_relative "torch/ext"
 
 # stdlib
 require "fileutils"
 require "net/http"
 require "set"
 require "tmpdir"
 
 # modules
-require "torch/inspector"
-require "torch/tensor"
-require "torch/version"
+require_relative "torch/inspector"
+require_relative "torch/tensor"
+require_relative "torch/version"
 
 # optim
-require "torch/optim/optimizer"
-require "torch/optim/adadelta"
-require "torch/optim/adagrad"
-require "torch/optim/adam"
-require "torch/optim/adamax"
-require "torch/optim/adamw"
-require "torch/optim/asgd"
-require "torch/optim/rmsprop"
-require "torch/optim/rprop"
-require "torch/optim/sgd"
+require_relative "torch/optim/optimizer"
+require_relative "torch/optim/adadelta"
+require_relative "torch/optim/adagrad"
+require_relative "torch/optim/adam"
+require_relative "torch/optim/adamax"
+require_relative "torch/optim/adamw"
+require_relative "torch/optim/asgd"
+require_relative "torch/optim/rmsprop"
+require_relative "torch/optim/rprop"
+require_relative "torch/optim/sgd"
 
 # optim lr_scheduler
-require "torch/optim/lr_scheduler/lr_scheduler"
-require "torch/optim/lr_scheduler/lambda_lr"
-require "torch/optim/lr_scheduler/multiplicative_lr"
-require "torch/optim/lr_scheduler/step_lr"
-require "torch/optim/lr_scheduler/multi_step_lr"
-require "torch/optim/lr_scheduler/exponential_lr"
-require "torch/optim/lr_scheduler/cosine_annealing_lr"
+require_relative "torch/optim/lr_scheduler/lr_scheduler"
+require_relative "torch/optim/lr_scheduler/lambda_lr"
+require_relative "torch/optim/lr_scheduler/multiplicative_lr"
+require_relative "torch/optim/lr_scheduler/step_lr"
+require_relative "torch/optim/lr_scheduler/multi_step_lr"
+require_relative "torch/optim/lr_scheduler/exponential_lr"
+require_relative "torch/optim/lr_scheduler/cosine_annealing_lr"
 
 # nn parameters
-require "torch/nn/parameter"
-require "torch/nn/utils"
+require_relative "torch/nn/parameter"
+require_relative "torch/nn/utils"
 
 # nn containers
-require "torch/nn/module"
-require "torch/nn/module_list"
-require "torch/nn/parameter_list"
-require "torch/nn/sequential"
+require_relative "torch/nn/module"
+require_relative "torch/nn/module_list"
+require_relative "torch/nn/parameter_list"
+require_relative "torch/nn/sequential"
 
 # nn convolution layers
-require "torch/nn/convnd"
-require "torch/nn/conv1d"
-require "torch/nn/conv2d"
-require "torch/nn/conv3d"
-require "torch/nn/unfold"
-require "torch/nn/fold"
+require_relative "torch/nn/convnd"
+require_relative "torch/nn/conv1d"
+require_relative "torch/nn/conv2d"
+require_relative "torch/nn/conv3d"
+require_relative "torch/nn/unfold"
+require_relative "torch/nn/fold"
 
 # nn pooling layers
-require "torch/nn/max_poolnd"
-require "torch/nn/max_pool1d"
-require "torch/nn/max_pool2d"
-require "torch/nn/max_pool3d"
-require "torch/nn/max_unpoolnd"
-require "torch/nn/max_unpool1d"
-require "torch/nn/max_unpool2d"
-require "torch/nn/max_unpool3d"
-require "torch/nn/avg_poolnd"
-require "torch/nn/avg_pool1d"
-require "torch/nn/avg_pool2d"
-require "torch/nn/avg_pool3d"
-require "torch/nn/lp_poolnd"
-require "torch/nn/lp_pool1d"
-require "torch/nn/lp_pool2d"
-require "torch/nn/adaptive_max_poolnd"
-require "torch/nn/adaptive_max_pool1d"
-require "torch/nn/adaptive_max_pool2d"
-require "torch/nn/adaptive_max_pool3d"
-require "torch/nn/adaptive_avg_poolnd"
-require "torch/nn/adaptive_avg_pool1d"
-require "torch/nn/adaptive_avg_pool2d"
-require "torch/nn/adaptive_avg_pool3d"
+require_relative "torch/nn/max_poolnd"
+require_relative "torch/nn/max_pool1d"
+require_relative "torch/nn/max_pool2d"
+require_relative "torch/nn/max_pool3d"
+require_relative "torch/nn/max_unpoolnd"
+require_relative "torch/nn/max_unpool1d"
+require_relative "torch/nn/max_unpool2d"
+require_relative "torch/nn/max_unpool3d"
+require_relative "torch/nn/avg_poolnd"
+require_relative "torch/nn/avg_pool1d"
+require_relative "torch/nn/avg_pool2d"
+require_relative "torch/nn/avg_pool3d"
+require_relative "torch/nn/lp_poolnd"
+require_relative "torch/nn/lp_pool1d"
+require_relative "torch/nn/lp_pool2d"
+require_relative "torch/nn/adaptive_max_poolnd"
+require_relative "torch/nn/adaptive_max_pool1d"
+require_relative "torch/nn/adaptive_max_pool2d"
+require_relative "torch/nn/adaptive_max_pool3d"
+require_relative "torch/nn/adaptive_avg_poolnd"
+require_relative "torch/nn/adaptive_avg_pool1d"
+require_relative "torch/nn/adaptive_avg_pool2d"
+require_relative "torch/nn/adaptive_avg_pool3d"
 
 # nn padding layers
-require "torch/nn/reflection_padnd"
-require "torch/nn/reflection_pad1d"
-require "torch/nn/reflection_pad2d"
-require "torch/nn/replication_padnd"
-require "torch/nn/replication_pad1d"
-require "torch/nn/replication_pad2d"
-require "torch/nn/replication_pad3d"
-require "torch/nn/constant_padnd"
-require "torch/nn/constant_pad1d"
-require "torch/nn/constant_pad2d"
-require "torch/nn/constant_pad3d"
-require "torch/nn/zero_pad2d"
+require_relative "torch/nn/reflection_padnd"
+require_relative "torch/nn/reflection_pad1d"
+require_relative "torch/nn/reflection_pad2d"
+require_relative "torch/nn/replication_padnd"
+require_relative "torch/nn/replication_pad1d"
+require_relative "torch/nn/replication_pad2d"
+require_relative "torch/nn/replication_pad3d"
+require_relative "torch/nn/constant_padnd"
+require_relative "torch/nn/constant_pad1d"
+require_relative "torch/nn/constant_pad2d"
+require_relative "torch/nn/constant_pad3d"
+require_relative "torch/nn/zero_pad2d"
 
 # nn normalization layers
-require "torch/nn/batch_norm"
-require "torch/nn/batch_norm1d"
-require "torch/nn/batch_norm2d"
-require "torch/nn/batch_norm3d"
-require "torch/nn/group_norm"
-require "torch/nn/instance_norm"
-require "torch/nn/instance_norm1d"
-require "torch/nn/instance_norm2d"
-require "torch/nn/instance_norm3d"
-require "torch/nn/layer_norm"
-require "torch/nn/local_response_norm"
+require_relative "torch/nn/batch_norm"
+require_relative "torch/nn/batch_norm1d"
+require_relative "torch/nn/batch_norm2d"
+require_relative "torch/nn/batch_norm3d"
+require_relative "torch/nn/group_norm"
+require_relative "torch/nn/instance_norm"
+require_relative "torch/nn/instance_norm1d"
+require_relative "torch/nn/instance_norm2d"
+require_relative "torch/nn/instance_norm3d"
+require_relative "torch/nn/layer_norm"
+require_relative "torch/nn/local_response_norm"
 
 # nn recurrent layers
-require "torch/nn/rnn_base"
-require "torch/nn/rnn"
-require "torch/nn/lstm"
-require "torch/nn/gru"
+require_relative "torch/nn/rnn_base"
+require_relative "torch/nn/rnn"
+require_relative "torch/nn/lstm"
+require_relative "torch/nn/gru"
 
 # nn linear layers
-require "torch/nn/bilinear"
-require "torch/nn/identity"
-require "torch/nn/linear"
+require_relative "torch/nn/bilinear"
+require_relative "torch/nn/identity"
+require_relative "torch/nn/linear"
 
 # nn dropout layers
-require "torch/nn/dropoutnd"
-require "torch/nn/alpha_dropout"
-require "torch/nn/dropout"
-require "torch/nn/dropout2d"
-require "torch/nn/dropout3d"
-require "torch/nn/feature_alpha_dropout"
+require_relative "torch/nn/dropoutnd"
+require_relative "torch/nn/alpha_dropout"
+require_relative "torch/nn/dropout"
+require_relative "torch/nn/dropout2d"
+require_relative "torch/nn/dropout3d"
+require_relative "torch/nn/feature_alpha_dropout"
 
 # nn activations
-require "torch/nn/hardshrink"
-require "torch/nn/leaky_relu"
-require "torch/nn/log_sigmoid"
-require "torch/nn/prelu"
-require "torch/nn/relu"
-require "torch/nn/sigmoid"
-require "torch/nn/softplus"
-require "torch/nn/softshrink"
-require "torch/nn/softsign"
-require "torch/nn/tanh"
-require "torch/nn/tanhshrink"
+require_relative "torch/nn/hardshrink"
+require_relative "torch/nn/leaky_relu"
+require_relative "torch/nn/log_sigmoid"
+require_relative "torch/nn/prelu"
+require_relative "torch/nn/relu"
+require_relative "torch/nn/sigmoid"
+require_relative "torch/nn/softplus"
+require_relative "torch/nn/softshrink"
+require_relative "torch/nn/softsign"
+require_relative "torch/nn/tanh"
+require_relative "torch/nn/tanhshrink"
 
 # nn activations other
-require "torch/nn/log_softmax"
-require "torch/nn/softmax"
-require "torch/nn/softmax2d"
-require "torch/nn/softmin"
+require_relative "torch/nn/log_softmax"
+require_relative "torch/nn/softmax"
+require_relative "torch/nn/softmax2d"
+require_relative "torch/nn/softmin"
 
 # nn sparse layers
-require "torch/nn/embedding"
-require "torch/nn/embedding_bag"
+require_relative "torch/nn/embedding"
+require_relative "torch/nn/embedding_bag"
 
 # attention is all you need
-require "torch/nn/multihead_attention"
-require "torch/nn/transformer"
+require_relative "torch/nn/multihead_attention"
+require_relative "torch/nn/transformer"
 
 # nn distance functions
-require "torch/nn/cosine_similarity"
-require "torch/nn/pairwise_distance"
+require_relative "torch/nn/cosine_similarity"
+require_relative "torch/nn/pairwise_distance"
 
 # nn loss functions
-require "torch/nn/loss"
-require "torch/nn/weighted_loss"
-require "torch/nn/bce_loss"
-require "torch/nn/bce_with_logits_loss"
-require "torch/nn/cosine_embedding_loss"
-require "torch/nn/cross_entropy_loss"
-require "torch/nn/ctc_loss"
-require "torch/nn/hinge_embedding_loss"
-require "torch/nn/kl_div_loss"
-require "torch/nn/l1_loss"
-require "torch/nn/margin_ranking_loss"
-require "torch/nn/mse_loss"
-require "torch/nn/multi_label_margin_loss"
-require "torch/nn/multi_label_soft_margin_loss"
-require "torch/nn/multi_margin_loss"
-require "torch/nn/nll_loss"
-require "torch/nn/poisson_nll_loss"
-require "torch/nn/smooth_l1_loss"
-require "torch/nn/soft_margin_loss"
-require "torch/nn/triplet_margin_loss"
+require_relative "torch/nn/loss"
+require_relative "torch/nn/weighted_loss"
+require_relative "torch/nn/bce_loss"
+require_relative "torch/nn/bce_with_logits_loss"
+require_relative "torch/nn/cosine_embedding_loss"
+require_relative "torch/nn/cross_entropy_loss"
+require_relative "torch/nn/ctc_loss"
+require_relative "torch/nn/hinge_embedding_loss"
+require_relative "torch/nn/kl_div_loss"
+require_relative "torch/nn/l1_loss"
+require_relative "torch/nn/margin_ranking_loss"
+require_relative "torch/nn/mse_loss"
+require_relative "torch/nn/multi_label_margin_loss"
+require_relative "torch/nn/multi_label_soft_margin_loss"
+require_relative "torch/nn/multi_margin_loss"
+require_relative "torch/nn/nll_loss"
+require_relative "torch/nn/poisson_nll_loss"
+require_relative "torch/nn/smooth_l1_loss"
+require_relative "torch/nn/soft_margin_loss"
+require_relative "torch/nn/triplet_margin_loss"
 
 # nn vision
-require "torch/nn/upsample"
+require_relative "torch/nn/upsample"
 
 # nn other
-require "torch/nn/functional"
-require "torch/nn/functional_attention"
-require "torch/nn/init"
+require_relative "torch/nn/functional"
+require_relative "torch/nn/functional_attention"
+require_relative "torch/nn/init"
 
 # utils
-require "torch/utils/data"
-require "torch/utils/data/data_loader"
-require "torch/utils/data/dataset"
-require "torch/utils/data/iterable_dataset"
-require "torch/utils/data/data_pipes/iter_data_pipe"
-require "torch/utils/data/data_pipes/filter_iter_data_pipe"
-require "torch/utils/data/data_pipes/iter/file_lister"
-require "torch/utils/data/data_pipes/iter/file_opener"
-require "torch/utils/data/data_pipes/iter/iterable_wrapper"
-require "torch/utils/data/data_pipes/iter/stream_wrapper"
-require "torch/utils/data/subset"
-require "torch/utils/data/tensor_dataset"
+require_relative "torch/utils/data"
+require_relative "torch/utils/data/data_loader"
+require_relative "torch/utils/data/dataset"
+require_relative "torch/utils/data/iterable_dataset"
+require_relative "torch/utils/data/data_pipes/iter_data_pipe"
+require_relative "torch/utils/data/data_pipes/filter_iter_data_pipe"
+require_relative "torch/utils/data/data_pipes/iter/file_lister"
+require_relative "torch/utils/data/data_pipes/iter/file_opener"
+require_relative "torch/utils/data/data_pipes/iter/iterable_wrapper"
+require_relative "torch/utils/data/data_pipes/iter/stream_wrapper"
+require_relative "torch/utils/data/subset"
+require_relative "torch/utils/data/tensor_dataset"
 
 # hub
-require "torch/hub"
+require_relative "torch/hub"
 
 module Torch
   class Error < StandardError; end
   class NotImplementedYet < StandardError
     def message