# -*- encoding: utf-8 -*-
# stub: torch-rb 0.1.4 ruby lib
# stub: ext/torch/extconf.rb

Gem::Specification.new do |s|
  s.name = "torch-rb".freeze
  s.version = "0.1.4".freeze

  s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version=
  s.require_paths = ["lib".freeze]
  s.authors = ["Andrew Kane".freeze]
  s.date = "2019-12-01"
  s.email = "andrew@chartkick.com".freeze
  s.extensions = ["ext/torch/extconf.rb".freeze]
  s.files = ["CHANGELOG.md".freeze, "LICENSE.txt".freeze, "README.md".freeze, "ext/torch/ext.cpp".freeze, "ext/torch/extconf.rb".freeze, "lib/torch-rb.rb".freeze, "lib/torch.rb".freeze, "lib/torch/ext.bundle".freeze, "lib/torch/inspector.rb".freeze, "lib/torch/nn/alpha_dropout.rb".freeze, "lib/torch/nn/avg_pool2d.rb".freeze, "lib/torch/nn/avg_poolnd.rb".freeze, "lib/torch/nn/bce_loss.rb".freeze, "lib/torch/nn/bilinear.rb".freeze, "lib/torch/nn/conv2d.rb".freeze, "lib/torch/nn/convnd.rb".freeze, "lib/torch/nn/cosine_similarity.rb".freeze, "lib/torch/nn/cross_entropy_loss.rb".freeze, "lib/torch/nn/ctc_loss.rb".freeze, "lib/torch/nn/dropout.rb".freeze, "lib/torch/nn/dropout2d.rb".freeze, "lib/torch/nn/dropout3d.rb".freeze, "lib/torch/nn/dropoutnd.rb".freeze, "lib/torch/nn/embedding.rb".freeze, "lib/torch/nn/embedding_bag.rb".freeze, "lib/torch/nn/feature_alpha_dropout.rb".freeze, "lib/torch/nn/functional.rb".freeze, "lib/torch/nn/identity.rb".freeze, "lib/torch/nn/init.rb".freeze, "lib/torch/nn/kl_div_loss.rb".freeze, "lib/torch/nn/l1_loss.rb".freeze, "lib/torch/nn/leaky_relu.rb".freeze, "lib/torch/nn/linear.rb".freeze, "lib/torch/nn/log_softmax.rb".freeze, "lib/torch/nn/loss.rb".freeze, "lib/torch/nn/max_pool2d.rb".freeze, "lib/torch/nn/max_poolnd.rb".freeze, "lib/torch/nn/module.rb".freeze, "lib/torch/nn/mse_loss.rb".freeze, "lib/torch/nn/nll_loss.rb".freeze, "lib/torch/nn/pairwise_distance.rb".freeze, "lib/torch/nn/parameter.rb".freeze, "lib/torch/nn/poisson_nll_loss.rb".freeze, "lib/torch/nn/prelu.rb".freeze, "lib/torch/nn/relu.rb".freeze, "lib/torch/nn/sequential.rb".freeze, "lib/torch/nn/sigmoid.rb".freeze, "lib/torch/nn/softmax.rb".freeze, "lib/torch/nn/softmax2d.rb".freeze, "lib/torch/nn/softmin.rb".freeze, "lib/torch/nn/softplus.rb".freeze, "lib/torch/nn/weighted_loss.rb".freeze, "lib/torch/optim/adadelta.rb".freeze, "lib/torch/optim/adagrad.rb".freeze, "lib/torch/optim/adam.rb".freeze, "lib/torch/optim/adamax.rb".freeze, "lib/torch/optim/adamw.rb".freeze, "lib/torch/optim/asgd.rb".freeze, "lib/torch/optim/lr_scheduler/lr_scheduler.rb".freeze, "lib/torch/optim/lr_scheduler/step_lr.rb".freeze, "lib/torch/optim/optimizer.rb".freeze, "lib/torch/optim/rmsprop.rb".freeze, "lib/torch/optim/rprop.rb".freeze, "lib/torch/optim/sgd.rb".freeze, "lib/torch/random.rb".freeze, "lib/torch/tensor.rb".freeze, "lib/torch/utils/data/data_loader.rb".freeze, "lib/torch/utils/data/tensor_dataset.rb".freeze, "lib/torch/version.rb".freeze]
  s.homepage = "https://github.com/ankane/torch-rb".freeze
  s.licenses = ["BSD-3-Clause".freeze]
  s.required_ruby_version = Gem::Requirement.new(">= 2.4".freeze)
  s.rubygems_version = "3.5.10".freeze
  s.summary = "Deep learning for Ruby, powered by LibTorch".freeze

  s.specification_version = 4

  s.add_runtime_dependency(%q<rice>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<bundler>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<rake>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<rake-compiler>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<minitest>.freeze, [">= 5".freeze])
  s.add_development_dependency(%q<numo-narray>.freeze, [">= 0".freeze])
end