delete redundant files

test/operators/test_gru_unit_op.cpp

-/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License. */
-
-#include "../test_include.h"
-#include "operators/gru_unit_op.h"
-
-namespace paddle_mobile {
-
-int TesGruUnitOp(const std::vector<int> input_shape, int axis) {
-	framework::DDim x_dims = framework::make_ddim(input_shape);
-	framework::DDim norm_dims = x_dims;
-	if (axis < 0) {
-		axis += x_dims.size();
-	}
-	norm_dims[axis] = 1;
-
-	VariableNameMap inputs;
-	VariableNameMap outputs;
-	auto scope = std::make_shared<framework::Scope>();
-	inputs["X"] = std::vector<std::string>({"input"});
-	outputs["Norm"] = std::vector<std::string>({"outputNorm"});
-	outputs["Out"] = std::vector<std::string>({"output"});
-
-	auto input_var = scope.get()->Var("input");
-	auto input = input_var->template GetMutable<framework::LoDTensor>();
-	SetupTensor<float>(input, x_dims, -100.0, 100.0);
-
-	auto norm_var = scope.get()->Var("outputNorm");
-	auto norm = norm_var->template GetMutable<framework::LoDTensor>();
-	SetupTensor<float>(norm, norm_dims, -100.0, 100.0);
-
-	auto output_var = scope.get()->Var("output");
-	framework::AttributeMap attrs;
-	auto *op = new operators::GruUnitOp<CPU, float>("norm", inputs, outputs, attrs, scope);
-
-	op->InferShape();
-	op->Init();
-	op->Run();
-}
-
-} // namespace paddle_mobile
-
-int main() {
-
-}