# -*- encoding: utf-8 -*-
# stub: tensor_stream 0.8.6 ruby lib

Gem::Specification.new do |s|
  s.name = "tensor_stream".freeze
  s.version = "0.8.6".freeze

  s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version=
  s.metadata = { "allowed_push_host" => "https://rubygems.org" } if s.respond_to? :metadata=
  s.require_paths = ["lib".freeze]
  s.authors = ["Joseph Emmanuel Dayo".freeze]
  s.bindir = "exe".freeze
  s.date = "2018-09-11"
  s.description = "A reimplementation of TensorFlow for ruby. This is a ground up implementation with no dependency on TensorFlow. Effort has been made to make the programming style as near to TensorFlow as possible, comes with a pure ruby evaluator by default as well with support for an opencl evaluator.".freeze
  s.email = ["joseph.dayo@gmail.com".freeze]
  s.files = [".circleci/config.yml".freeze, ".gitignore".freeze, ".rake_tasks~".freeze, ".rspec".freeze, ".rubocop.yml".freeze, ".travis.yml".freeze, "CHANGELOG.md".freeze, "CODE_OF_CONDUCT.md".freeze, "Dockerfile".freeze, "Gemfile".freeze, "LICENSE.txt".freeze, "README.md".freeze, "Rakefile".freeze, "benchmark/benchmark.rb".freeze, "benchmark_intel.txt".freeze, "benchmark_nvidia.txt".freeze, "benchmark_ryzen_amd.txt".freeze, "bin/console".freeze, "bin/setup".freeze, "lib/tensor_stream.rb".freeze, "lib/tensor_stream/control_flow.rb".freeze, "lib/tensor_stream/debugging/debugging.rb".freeze, "lib/tensor_stream/device.rb".freeze, "lib/tensor_stream/dynamic_stitch.rb".freeze, "lib/tensor_stream/evaluator/base_evaluator.rb".freeze, "lib/tensor_stream/evaluator/buffer.rb".freeze, "lib/tensor_stream/evaluator/evaluator.rb".freeze, "lib/tensor_stream/evaluator/operation_helpers/array_ops_helper.rb".freeze, "lib/tensor_stream/evaluator/operation_helpers/math_helper.rb".freeze, "lib/tensor_stream/evaluator/operation_helpers/random_gaussian.rb".freeze, "lib/tensor_stream/evaluator/ruby/array_ops.rb".freeze, "lib/tensor_stream/evaluator/ruby/check_ops.rb".freeze, "lib/tensor_stream/evaluator/ruby/images_ops.rb".freeze, "lib/tensor_stream/evaluator/ruby/math_ops.rb".freeze, "lib/tensor_stream/evaluator/ruby/nn_ops.rb".freeze, "lib/tensor_stream/evaluator/ruby/random_ops.rb".freeze, "lib/tensor_stream/evaluator/ruby_evaluator.rb".freeze, "lib/tensor_stream/exceptions.rb".freeze, "lib/tensor_stream/graph.rb".freeze, "lib/tensor_stream/graph_builder.rb".freeze, "lib/tensor_stream/graph_deserializers/protobuf.rb".freeze, "lib/tensor_stream/graph_keys.rb".freeze, "lib/tensor_stream/graph_serializers/graphml.rb".freeze, "lib/tensor_stream/graph_serializers/pbtext.rb".freeze, "lib/tensor_stream/graph_serializers/serializer.rb".freeze, "lib/tensor_stream/helpers/op_helper.rb".freeze, "lib/tensor_stream/helpers/string_helper.rb".freeze, "lib/tensor_stream/images.rb".freeze, "lib/tensor_stream/initializer.rb".freeze, "lib/tensor_stream/math_gradients.rb".freeze, "lib/tensor_stream/monkey_patches/integer.rb".freeze, "lib/tensor_stream/nn/nn_ops.rb".freeze, "lib/tensor_stream/operation.rb".freeze, "lib/tensor_stream/ops.rb".freeze, "lib/tensor_stream/placeholder.rb".freeze, "lib/tensor_stream/session.rb".freeze, "lib/tensor_stream/tensor.rb".freeze, "lib/tensor_stream/tensor_shape.rb".freeze, "lib/tensor_stream/train/adadelta_optimizer.rb".freeze, "lib/tensor_stream/train/adagrad_optimizer.rb".freeze, "lib/tensor_stream/train/adam_optimizer.rb".freeze, "lib/tensor_stream/train/gradient_descent_optimizer.rb".freeze, "lib/tensor_stream/train/momentum_optimizer.rb".freeze, "lib/tensor_stream/train/optimizer.rb".freeze, "lib/tensor_stream/train/rmsprop_optimizer.rb".freeze, "lib/tensor_stream/train/saver.rb".freeze, "lib/tensor_stream/train/slot_creator.rb".freeze, "lib/tensor_stream/train/utils.rb".freeze, "lib/tensor_stream/trainer.rb".freeze, "lib/tensor_stream/types.rb".freeze, "lib/tensor_stream/utils.rb".freeze, "lib/tensor_stream/variable.rb".freeze, "lib/tensor_stream/variable_scope.rb".freeze, "lib/tensor_stream/version.rb".freeze, "samples/error.graphml".freeze, "samples/gradient_sample.graphml".freeze, "samples/iris.data".freeze, "samples/iris.rb".freeze, "samples/linear_regression.rb".freeze, "samples/logistic_regression.rb".freeze, "samples/mnist_data.rb".freeze, "samples/multigpu.rb".freeze, "samples/nearest_neighbor.rb".freeze, "samples/raw_neural_net_sample.rb".freeze, "samples/rnn.rb".freeze, "tensor_stream.gemspec".freeze]
  s.homepage = "http://www.github.com/jedld/tensor_stream".freeze
  s.licenses = ["MIT".freeze]
  s.rubygems_version = "3.5.10".freeze
  s.summary = "A Pure ruby tensorflow implementation".freeze

  s.specification_version = 4

  s.add_development_dependency(%q<bundler>.freeze, ["~> 1.14".freeze])
  s.add_development_dependency(%q<rake>.freeze, ["~> 10.0".freeze])
  s.add_development_dependency(%q<rspec>.freeze, ["~> 3.0".freeze])
  s.add_development_dependency(%q<awesome_print>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<rubocop>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<pry-byebug>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<byepry>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<colorize>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<rspec_junit_formatter>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<mnist-learn>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<opencl_ruby_ffi>.freeze, [">= 0".freeze])
  s.add_development_dependency(%q<simplecov>.freeze, [">= 0".freeze])
  s.add_runtime_dependency(%q<deep_merge>.freeze, [">= 0".freeze])
  s.add_runtime_dependency(%q<concurrent-ruby>.freeze, [">= 0".freeze])
  s.add_runtime_dependency(%q<chunky_png>.freeze, [">= 0".freeze])
end