Removing unnecessary file writing spec.

somaticio · Mar 4, 2017 · 1802f8a · 1802f8a
1 parent 41dd55f
commit 1802f8a
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Showing 2 changed files with 36 additions and 37 deletions.
diff --git a/abc b/abc
diff --git a/spec/scope_spec.rb b/spec/scope_spec.rb
@@ -2,43 +2,42 @@
 
 describe 'Scope' do
     it 'Should Test Sub Scope' do
-     root = Tensorflow::Scope.new
-   		sub1  = root.subscope("x")
-   		sub2  = root.subscope("x")
-   		sub1a = sub1.subscope("y")
-   		sub2a = sub2.subscope("y")
-     expect(Const(root,1).operation.name).to match('Const')
-     expect(Const(sub1,1).operation.name).to match('x/Const')
-     expect(Const(sub2,1).operation.name).to match('x_1/Const')
-     expect(Const(sub1a,1).operation.name).to match('x/y/Const')
-     expect(Const(sub2a,1).operation.name).to match('x_1/y/Const')
+        root = Tensorflow::Scope.new
+        sub1  = root.subscope('x')
+        sub2  = root.subscope('x')
+        sub1a = sub1.subscope('y')
+        sub2a = sub2.subscope('y')
+        expect(Const(root, 1).operation.name).to match('Const')
+        expect(Const(sub1, 1).operation.name).to match('x/Const')
+        expect(Const(sub2, 1).operation.name).to match('x_1/Const')
+        expect(Const(sub1a, 1).operation.name).to match('x/y/Const')
+        expect(Const(sub2a, 1).operation.name).to match('x_1/y/Const')
+    end
+    # TODO: add placeholder Tests
+    it 'Should test subscope naming is correct' do
+        root = Tensorflow::Scope.new
+        expect(Const(root.subscope('x'), 1).operation.name).to match('x/Const')
+        expect(Const(root.subscope('x'), 1).operation.name).to match('x_1/Const')
     end
-  #TODO add placeholder Tests
-        it 'Should test subscope naming is correct' do
-         root = Tensorflow::Scope.new
-         expect(Const(root.subscope("x"),1).operation.name).to match('x/Const')
-         expect(Const(root.subscope("x"),1).operation.name).to match('x_1/Const')
-        end
 
-        it 'Should test subscope naming is correct' do
-         s = Tensorflow::Scope.new
-         input = Placeholder(s, 7)
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('ReadFile', 'ReadFile', nil, [input]))
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('DecodeJpeg', 'DecodeJpeg', Hash["channels"=> 3], [output.output(0)]))
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('Cast', 'Cast', Hash["DstT"=> 1], [output.output(0)]))
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('ExpandDims', 'ExpandDims', nil, [output.output(0),Const(s.subscope("make_batch"), 0, :int32)]))
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('ResizeBilinear', 'ResizeBilinear', nil, [output.output(0),Const(s.subscope("size"), [224, 224],  :int32)]))
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('Sub', 'Sub', nil, [output.output(0),Const(s.subscope("mean"), 117.00,  :float)]))
-         output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('Div', 'Div', nil, [output.output(0),Const(s.subscope("scale"), 1.00,  :float)])).output(0)
-         graph = s.graph
-         graph.write_file("abc")
-         file_name ="/home/arafat/Desktop/tensorflow/gotest/mysore_palace.jpg"
-         data = File.read(file_name)
-         tensor = Tensorflow::Tensor.new("/home/arafat/Desktop/tensorflow/gotest/mysore_palace.jpg")
-         session_op = Tensorflow::Session_options.new
-         session = Tensorflow::Session.new(graph, session_op)
-         hash = {}
-         hash[input] = tensor
-    #     out_tensor = session.run(hash, [output], [])
-        end
+    it 'Should test subscope naming is correct' do
+        s = Tensorflow::Scope.new
+        input = Placeholder(s, 7)
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('ReadFile', 'ReadFile', nil, [input]))
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('DecodeJpeg', 'DecodeJpeg', Hash['channels' => 3], [output.output(0)]))
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('Cast', 'Cast', Hash['DstT' => 1], [output.output(0)]))
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('ExpandDims', 'ExpandDims', nil, [output.output(0), Const(s.subscope('make_batch'), 0, :int32)]))
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('ResizeBilinear', 'ResizeBilinear', nil, [output.output(0), Const(s.subscope('size'), [224, 224], :int32)]))
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('Sub', 'Sub', nil, [output.output(0), Const(s.subscope('mean'), 117.00, :float)]))
+        output = input.operation.g.AddOperation(Tensorflow::OpSpec.new('Div', 'Div', nil, [output.output(0), Const(s.subscope('scale'), 1.00, :float)])).output(0)
+        graph = s.graph
+        file_name = '/home/arafat/Desktop/tensorflow/gotest/mysore_palace.jpg'
+        data = File.read(file_name)
+        tensor = Tensorflow::Tensor.new('/home/arafat/Desktop/tensorflow/gotest/mysore_palace.jpg')
+        session_op = Tensorflow::Session_options.new
+        session = Tensorflow::Session.new(graph, session_op)
+        hash = {}
+        hash[input] = tensor
+        #     out_tensor = session.run(hash, [output], [])
+    end
 end