lib/torch.rb in torch-rb-0.9.0 vs lib/torch.rb in torch-rb-0.9.1

@@ -375,12 +375,10 @@
 
     def load(f)
       to_ruby(_load(File.binread(f)))
     end
 
-    # --- begin tensor creation: https://pytorch.org/cppdocs/notes/tensor_creation.html ---
-
     def tensor(data, **options)
       if options[:dtype].nil? && defined?(Numo::NArray) && data.is_a?(Numo::NArray)
         numo_to_dtype = _dtype_to_numo.map(&:reverse).to_h
         options[:dtype] = numo_to_dtype[data.class]
       end
@@ -409,45 +407,10 @@
       end
 
       _tensor(data, size, tensor_options(**options))
     end
 
-    # --- begin like ---
-
-    def ones_like(input, **options)
-      ones(input.size, **like_options(input, options))
-    end
-
-    def empty_like(input, **options)
-      empty(input.size, **like_options(input, options))
-    end
-
-    def full_like(input, fill_value, **options)
-      full(input.size, fill_value, **like_options(input, options))
-    end
-
-    def rand_like(input, **options)
-      rand(input.size, **like_options(input, options))
-    end
-
-    def randint_like(input, low, high = nil, **options)
-      # ruby doesn't support input, low = 0, high, ...
-      if high.nil?
-        high = low
-        low = 0
-      end
-      randint(low, high, input.size, **like_options(input, options))
-    end
-
-    def randn_like(input, **options)
-      randn(input.size, **like_options(input, options))
-    end
-
-    def zeros_like(input, **options)
-      zeros(input.size, **like_options(input, options))
-    end
-
     # center option
     def stft(input, n_fft, hop_length: nil, win_length: nil, window: nil, center: true, pad_mode: "reflect", normalized: false, onesided: true, return_complex: nil)
       if center
         signal_dim = input.dim
         extended_shape = [1] * (3 - signal_dim) + input.size
@@ -568,17 +531,9 @@
         options = options.layout(layout.to_s)
       end
       unless requires_grad.nil?
         options = options.requires_grad(requires_grad)
       end
-      options
-    end
-
-    def like_options(input, options)
-      options = options.dup
-      options[:dtype] ||= input.dtype
-      options[:layout] ||= input.layout
-      options[:device] ||= input.device
       options
     end
   end
 end