f99f633725815635a1cf24aa2dd70bdb094ed7aa,tests/keras/backend/backend_test.py,,check_two_tensor_operation,#,135

Before Change

                z = k.eval(getattr(k, function_name)(
                    k.variable(x_val), k.variable(convert_kernel(y_val)), **kwargs))
            elif concat_args:
                z = k.eval(getattr(k, function_name)(
                    [k.variable(x_val), k.variable(y_val)], **kwargs))
            else:
                z = k.eval(getattr(k, function_name)(
                    k.variable(x_val), k.variable(y_val), **kwargs))
        else:
            z = k.eval(getattr(k, function_name)(
                x_shape_or_val, y_shape_or_val, **kwargs))
        z_list += [z]

After Change

                t, f = cntk_func_two_tensor(function_name, x_shape, y=y_val, **kwargs)
                z = f([x_val])[0]
            elif (k == KC) & (cntk_two_dynamicity):
                t, f = cntk_func_two_tensor(function_name, x_shape, y=y_shape, **kwargs)
                z = f([x_val, y_val])[0]
            elif (k == KTH) & (function_name[:4] == "conv"):
                t = getattr(k, function_name)(
                    k.variable(x_val), k.variable(convert_kernel(y_val)), **kwargs)
                z = k.eval(t)
            elif concat_args:
                t = getattr(k, function_name)(
                    [k.variable(x_val), k.variable(y_val)], **kwargs)
                z = k.eval(t)
            else:
                t = getattr(k, function_name)(
                    k.variable(x_val), k.variable(y_val), **kwargs)
                z = k.eval(t)
        else:
            t = getattr(k, function_name)(x_shape_or_val, y_shape_or_val, **kwargs)
            z = k.eval(t)
        t_list += [t]

Instances