Remove old conv2d3x3 neon test.

mace/kernels/test/conv_2d_neon_3x3_test.cc

-//
-// Copyright (c) 2017 XiaoMi All rights reserved.
-//
-
-#include "gtest/gtest.h"
-#include "mace/kernels/conv_2d.h"
-#include "mace/kernels/conv_pool_2d_util.h"
-
-namespace mace {
-
-TEST(Conv2dNeon3X3Test, Correctness) {
-
-  std::random_device rd;
-  std::mt19937 gen(rd());
-  std::normal_distribution<float> nd(0, 1);
-  srand(time(NULL));
-
-  // generate random input
-  index_t batch = 1 + rand() % 16;
-  index_t channels = 3 + rand() % 100;
-  index_t height = 10 + rand() % 100;
-  index_t width = 10 + rand() % 100;
-  index_t output_channels = 3 + rand() % 100;
-
-  index_t input_size = batch * channels * height * width;
-  index_t filter_size = output_channels * channels * 3 * 3;
-  std::vector<float> input(input_size, 0.0);
-  const index_t input_shape[] = {batch, channels, height, width};
-  std::vector<float> filter(filter_size, 0.0);
-  const index_t filter_shape[] = {output_channels, channels, 3, 3};
-  std::vector<float> bias(output_channels, 0.0);
-  const int dilations[] = {1, 1};
-  const int strides[] = {1, 1};
-
-  // declare output
-  vector<index_t> output_shape;
-  vector<int> padding_size;
-  kernels::CalcPaddingAndOutputSize(input_shape, filter_shape, dilations, strides, VALID,
-                           &output_shape, &padding_size);
-
-  const index_t output_size = output_shape[0] * output_shape[1] * output_shape[2] * output_shape[3];
-  std::unique_ptr<float[]> output(new float[output_size]);
-  std::unique_ptr<float[]> output_neon(new float[output_size]);
-
-
-  for (int i = 0; i < input_size; ++i) {
-    input[i] = nd(gen);
-  }
-  for (int i = 0; i < filter_size; ++i) {
-    filter[i] = nd(gen);
-  }
-  for (int i = 0; i < output_channels; ++i) {
-    bias[i] = nd(gen);
-  }
-
-  kernels::Conv2dFunctor<DeviceType::CPU, float>(strides, padding_size.data(), dilations)(
-          input.data(),
-          input_shape,
-          filter.data(),
-          filter_shape,
-          bias.data(),
-          output.get(),
-          output_shape.data()
-  );
-
-  kernels::Conv2dFunctor<DeviceType::NEON, float>(strides, padding_size.data(), dilations)(
-          input.data(),
-          input_shape,
-          filter.data(),
-          filter_shape,
-          bias.data(),
-          output_neon.get(),
-          output_shape.data()
-  );
-
-
-  for (index_t i = 0; i < output_size; ++i) {
-    EXPECT_NEAR(output[i], output_neon[i], 1e-3);
-  }
-}
-
-} //  namespace mace
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