ncnn

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// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "testutil.h"
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static int test_flatten(const ncnn::Mat& a)
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{
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    ncnn::ParamDict pd;
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    std::vector<ncnn::Mat> weights(0);
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    int ret = test_layer("Flatten", pd, weights, a);
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    if (ret != 0)
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    {
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        fprintf(stderr, "test_flatten failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
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    }
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    return ret;
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}
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static int test_flatten_0()
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{
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    return 0
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           || test_flatten(RandomMat(2, 3, 4, 4))
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           || test_flatten(RandomMat(3, 5, 7, 8))
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           || test_flatten(RandomMat(1, 1, 1, 16))
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           || test_flatten(RandomMat(9, 10, 2, 16))
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           || test_flatten(RandomMat(1, 7, 1, 1))
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           || test_flatten(RandomMat(6, 6, 6, 15))
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           || test_flatten(RandomMat(2, 4, 4))
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           || test_flatten(RandomMat(3, 5, 8))
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           || test_flatten(RandomMat(1, 1, 16))
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           || test_flatten(RandomMat(9, 10, 16))
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           || test_flatten(RandomMat(1, 7, 1))
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           || test_flatten(RandomMat(6, 6, 15))
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           || test_flatten(RandomMat(13, 13))
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           || test_flatten(RandomMat(16, 16))
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           || test_flatten(RandomMat(8, 12))
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           || test_flatten(RandomMat(8, 2))
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           || test_flatten(RandomMat(32))
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           || test_flatten(RandomMat(17));
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}
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static int test_flatten_int8(const ncnn::Mat& a)
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{
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    ncnn::ParamDict pd;
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    std::vector<ncnn::Mat> weights(0);
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    int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING | TEST_LAYER_DISABLE_GPU_TESTING;
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    int ret = test_layer("Flatten", pd, weights, a, 0.001, 0, flag);
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    if (ret != 0)
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    {
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        fprintf(stderr, "test_flatten_int8 failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
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    }
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    return ret;
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}
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static int test_flatten_1()
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{
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    return 0
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           || test_flatten_int8(RandomS8Mat(2, 3, 4, 4))
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           || test_flatten_int8(RandomS8Mat(3, 5, 7, 8))
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           || test_flatten_int8(RandomS8Mat(1, 1, 1, 16))
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           || test_flatten_int8(RandomS8Mat(9, 10, 2, 16))
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           || test_flatten_int8(RandomS8Mat(1, 7, 1, 1))
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           || test_flatten_int8(RandomS8Mat(6, 6, 6, 15))
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           || test_flatten_int8(RandomS8Mat(2, 4, 16))
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           || test_flatten_int8(RandomS8Mat(3, 5, 32))
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           || test_flatten_int8(RandomS8Mat(1, 1, 64))
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           || test_flatten_int8(RandomS8Mat(9, 10, 64))
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           || test_flatten_int8(RandomS8Mat(1, 7, 4))
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           || test_flatten_int8(RandomS8Mat(6, 6, 70))
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           || test_flatten_int8(RandomS8Mat(13, 52))
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           || test_flatten_int8(RandomS8Mat(16, 64))
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           || test_flatten_int8(RandomS8Mat(8, 48))
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           || test_flatten_int8(RandomS8Mat(16, 11))
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           || test_flatten_int8(RandomS8Mat(8, 8))
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           || test_flatten_int8(RandomS8Mat(128))
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           || test_flatten_int8(RandomS8Mat(127));
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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 test_flatten_0() || test_flatten_1();
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}
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