remove opencl sigmod test

test/CMakeLists.txt

@@ -160,10 +160,6 @@ if (CON GREATER -1)
     ADD_EXECUTABLE(test-sigmoid operators/test_sigmoid_op.cpp test_include.h)
     target_link_libraries(test-sigmoid paddle-mobile)
 
-    # gen test
-    ADD_EXECUTABLE(test-sigmoid-cl operators/cl/test_sigmoid_cl_op.cpp test_helper.h  test_include.h)
-    target_link_libraries(test-sigmoid-cl paddle-mobile)
-
     set(FOUND_MATCH ON)
 endif ()
 
@@ -365,10 +361,6 @@ if (NOT FOUND_MATCH)
     ADD_EXECUTABLE(test-sigmoid-op operators/test_sigmoid_op.cpp test_include.h)
     target_link_libraries(test-sigmoid-op paddle-mobile)
 
-    # gen test
-    ADD_EXECUTABLE(test-sigmoid-cl operators/cl/test_sigmoid_cl_op.cpp test_helper.h  test_include.h)
-    target_link_libraries(test-sigmoid-cl paddle-mobile)
-
     # gen test
     ADD_EXECUTABLE(test-depthwise-conv-op operators/test_depthwise_conv_op.cpp test_helper.h test_include.h executor_for_test.h)
     target_link_libraries(test-depthwise-conv-op paddle-mobile)

test/operators/cl/test_sigmoid_cl_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. */
-#ifdef PADDLE_MOBILE_CL
-#include <CL/cl.h>
-#include <cmath>
-#include <iostream>
-#include "../../test_helper.h"
-#include "../../test_include.h"
-#include "framework/cl/cl_tensor.h"
-#include "operators/activation_op.h"
-
-namespace paddle_mobile {
-
-void Sigmoid(const framework::Tensor *X, framework::Tensor *Y) {
-  const float *x = X->data<float>();
-  float *y = Y->mutable_data<float>();
-
-  for (int i = 0; i < X->numel(); ++i) {
-    y[i] = 1.f / (1.f + exp(-x[i]));
-  }
-}
-
-int TestSigmoidOp(const std::vector<int> input_shape) {
-  paddle_mobile::PaddleMobile<paddle_mobile::GPU_CL> paddle_mobile;
-  //    paddle_mobile.SetThreadNum(4);
-  auto time1 = paddle_mobile::time();
-#ifdef PADDLE_MOBILE_CL
-  paddle_mobile.SetCLPath("/data/local/tmp/bin");
-#endif
-  auto isok = paddle_mobile.Load(std::string(g_sigmoid), true, false, 1, true);
-  if (!isok) {
-    exit(1);
-  }
-  framework::DDim dims = framework::make_ddim(input_shape);
-  Tensor input_tensor;
-  SetupTensor<float>(&input_tensor, framework::make_ddim(input_shape),
-                     static_cast<float>(0), static_cast<float>(1));
-  Tensor input_tensor2 = input_tensor;
-
-  //  paddle_mobile.Feed(input_tensor, "feed");
-  paddle_mobile.Predict(input_tensor);
-  auto output = paddle_mobile.Fetch();
-
-  framework::Tensor output_cmp;
-  float *output_cmp_data = output_cmp.mutable_data<float>(output->dims());
-
-  Sigmoid(&input_tensor2, &output_cmp);
-
-  const float *output_data = output->data<float>();
-  for (int i = 0; i < output->numel(); ++i) {
-    float gap = output_data[i] - output_cmp_data[i];
-    if (std::abs(gap / (output_data[i] + 1e-5)) > 1e-2) {
-      LOG(kLOG_INFO) << "input_tensor[" << i
-                     << "]=  " << input_tensor.data<float>()[i] << "   "
-                     << input_tensor2.data<float>()[i] << "output_data[" << i
-                     << "] = " << output_data[i] << ", output_cmp_data[" << i
-                     << "] = " << output_cmp_data[i];
-      exit(1);
-    }
-  }
-  return 0;
-}
-
-}  // namespace paddle_mobile
-#endif
-int main() {
-#ifdef PADDLE_MOBILE_CL
-  paddle_mobile::TestSigmoidOp({1, 1, 1000, 1000});
-  paddle_mobile::TestSigmoidOp({1, 3, 11, 22});
-  paddle_mobile::TestSigmoidOp({1, 32, 112, 112});
-  std::cout << "test sigmoid op cl pass." << std::endl;
-#endif
-  return 0;
-}