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https://github.com/Tencent/ncnn.git
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Lune
190 lines
8.4 KiB
C++
190 lines
8.4 KiB
C++
// Copyright 2020 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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static int test_normalize(const ncnn::Mat& a, int across_spatial, int across_channel, int channel_shared, float eps, int eps_mode, int flag = 0)
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{
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int scale_data_size = channel_shared ? 1 : a.c;
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ncnn::ParamDict pd;
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pd.set(0, across_spatial);
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pd.set(4, across_channel);
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pd.set(1, channel_shared);
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pd.set(2, eps);
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pd.set(3, scale_data_size);
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pd.set(9, eps_mode);
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std::vector<ncnn::Mat> weights(1);
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weights[0] = RandomMat(scale_data_size);
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int ret = test_layer("Normalize", pd, weights, a, 0.001f, flag);
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if (ret != 0)
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{
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fprintf(stderr, "test_normalize failed a.dims=%d a=(%d %d %d %d) across_spatial=%d across_channel=%d channel_shared=%d eps=%f eps_mode=%d\n", a.dims, a.w, a.h, a.d, a.c, across_spatial,
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across_channel, channel_shared, eps, eps_mode);
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}
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return ret;
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}
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static int test_normalize_0()
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{
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ncnn::Mat a = RandomMat(6, 4, 2);
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ncnn::Mat b = RandomMat(5, 7, 8);
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return 0
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|| test_normalize(a, 1, 0, 0, 0.01f, 0)
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|| test_normalize(a, 1, 0, 0, 0.001f, 1)
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|| test_normalize(a, 1, 0, 0, 0.002f, 2)
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|| test_normalize(a, 1, 0, 1, 0.01f, 0)
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|| test_normalize(a, 1, 0, 1, 0.001f, 1)
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|| test_normalize(a, 1, 0, 1, 0.002f, 2)
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|| test_normalize(b, 1, 0, 0, 0.01f, 0)
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|| test_normalize(b, 1, 0, 0, 0.001f, 1)
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|| test_normalize(b, 1, 0, 0, 0.002f, 2)
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|| test_normalize(b, 1, 0, 1, 0.01f, 0)
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|| test_normalize(b, 1, 0, 1, 0.001f, 1)
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|| test_normalize(b, 1, 0, 1, 0.002f, 2);
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}
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static int test_normalize_1()
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{
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ncnn::Mat a = RandomMat(5, 6, 3);
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ncnn::Mat b = RandomMat(3, 4, 8);
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return 0
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|| test_normalize(a, 0, 1, 0, 0.01f, 0)
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|| test_normalize(a, 0, 1, 0, 0.001f, 1)
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|| test_normalize(a, 0, 1, 0, 0.002f, 2)
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|| test_normalize(a, 0, 1, 1, 0.01f, 0)
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|| test_normalize(a, 0, 1, 1, 0.001f, 1)
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|| test_normalize(a, 0, 1, 1, 0.002f, 2)
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|| test_normalize(b, 0, 1, 0, 0.01f, 0)
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|| test_normalize(b, 0, 1, 0, 0.001f, 1)
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|| test_normalize(b, 0, 1, 0, 0.002f, 2)
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|| test_normalize(b, 0, 1, 1, 0.01f, 0)
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|| test_normalize(b, 0, 1, 1, 0.001f, 1)
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|| test_normalize(b, 0, 1, 1, 0.002f, 2);
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}
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static int test_normalize_2()
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{
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ncnn::Mat a = RandomMat(2, 3, 5);
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ncnn::Mat b = RandomMat(4, 6, 8);
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return 0
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|| test_normalize(a, 1, 1, 0, 0.01f, 0)
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|| test_normalize(a, 1, 1, 0, 0.001f, 1)
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|| test_normalize(a, 1, 1, 0, 0.002f, 2)
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|| test_normalize(a, 1, 1, 1, 0.01f, 0)
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|| test_normalize(a, 1, 1, 1, 0.001f, 1)
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|| test_normalize(a, 1, 1, 1, 0.002f, 2)
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|| test_normalize(b, 1, 1, 0, 0.01f, 0)
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|| test_normalize(b, 1, 1, 0, 0.001f, 1)
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|| test_normalize(b, 1, 1, 0, 0.002f, 2)
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|| test_normalize(b, 1, 1, 1, 0.01f, 0)
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|| test_normalize(b, 1, 1, 1, 0.001f, 1)
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|| test_normalize(b, 1, 1, 1, 0.002f, 2);
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}
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static int test_normalize_3()
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{
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ncnn::Mat a = RandomMat(5, 4, 3, 3);
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ncnn::Mat b = RandomMat(3, 3, 2, 8);
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return 0
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|| test_normalize(a, 1, 0, 0, 0.01f, 0)
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|| test_normalize(a, 1, 0, 1, 0.001f, 1)
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|| test_normalize(b, 0, 1, 0, 0.002f, 2)
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|| test_normalize(b, 0, 1, 1, 0.01f, 0)
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|| test_normalize(a, 1, 1, 0, 0.001f, 1)
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|| test_normalize(b, 1, 1, 1, 0.002f, 2);
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}
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static int test_normalize_4()
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{
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ncnn::Mat a = RandomMat(17, 13, 24);
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ncnn::Mat b = RandomMat(9, 7, 3, 16);
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return 0
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|| test_normalize(a, 1, 0, 0, 0.01f, 0, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(a, 1, 0, 1, 0.001f, 1, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(a, 0, 1, 0, 0.002f, 2, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(a, 1, 1, 1, 0.01f, 0, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(b, 1, 0, 0, 0.001f, 1, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(b, 0, 1, 1, 0.002f, 2, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(b, 1, 1, 0, 0.01f, 0, TEST_LAYER_ENABLE_THREADING | TEST_LAYER_DISABLE_GPU_TESTING);
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}
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static int test_normalize_5()
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{
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ncnn::Mat a = RandomMat(7, 5, 16, -0.00001f, 0.00001f);
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ncnn::Mat b = RandomMat(9, 7, 24, -0.00001f, 0.00001f);
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return 0
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|| test_normalize(a, 1, 0, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(a, 0, 1, 1, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(a, 1, 1, 0, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(b, 1, 0, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(b, 0, 1, 1, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(b, 1, 1, 0, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING);
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}
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static int test_normalize_6()
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{
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return 0
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// dims=1/2, packing is along spatial dimensions
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|| test_normalize(RandomMat(7), 1, 0, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(12), 1, 0, 1, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(24), 1, 1, 0, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(32), 1, 1, 1, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 3), 1, 0, 0, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 12), 1, 1, 1, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 24), 1, 0, 1, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 32), 1, 1, 0, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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// dims=3, packing is along channels
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// pack1 / pack4 / pack8 / pack16
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|| test_normalize(RandomMat(7, 5, 3), 1, 0, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 5, 12), 1, 0, 1, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 5, 24), 1, 0, 0, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 5, 32), 1, 0, 1, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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// across-channel path, exercise short spatial tails
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|| test_normalize(RandomMat(1, 1, 12), 0, 1, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(2, 1, 12), 0, 1, 1, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(3, 1, 12), 0, 1, 0, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(4, 1, 12), 0, 1, 1, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(3, 1, 24), 0, 1, 0, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(3, 1, 32), 0, 1, 1, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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// across-spatial + across-channel
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|| test_normalize(RandomMat(7, 5, 3), 1, 1, 1, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 5, 12), 1, 1, 0, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 5, 24), 1, 1, 1, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(7, 5, 32), 1, 1, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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// dims=4 packed path
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|| test_normalize(RandomMat(3, 5, 3, 12), 0, 1, 0, 0.0001f, 1, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(3, 5, 3, 24), 1, 0, 1, 0.0001f, 2, TEST_LAYER_DISABLE_GPU_TESTING)
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|| test_normalize(RandomMat(3, 5, 3, 32), 1, 1, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING)
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// (0, 0) is a no-op, one case is sufficient
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|| test_normalize(RandomMat(7, 5, 12), 0, 0, 0, 0.0001f, 0, TEST_LAYER_DISABLE_GPU_TESTING);
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}
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int main()
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{
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SRAND(7767517);
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return 0
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|| test_normalize_0()
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|| test_normalize_1()
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|| test_normalize_2()
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|| test_normalize_3()
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|| test_normalize_4()
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|| test_normalize_5()
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|| test_normalize_6();
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}
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