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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
- //
- // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- // in compliance with the License. You may obtain a copy of the License at
- //
- // https://opensource.org/licenses/BSD-3-Clause
- //
- // 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 "layer/lstm.h"
- #include "testutil.h"
-
- static int test_lstm(const ncnn::Mat& a, int outch, int direction)
- {
- int input_size = a.w * a.h * a.c;
- int num_directions = direction == 2 ? 2 : 1;
-
- ncnn::ParamDict pd;
- pd.set(0, outch); // num_output
- pd.set(1, outch * input_size * 4 * num_directions);
- pd.set(2, direction); // bias_term
-
- std::vector<ncnn::Mat> weights(3);
- weights[0] = RandomMat(outch * input_size * 4 * num_directions);
- weights[1] = RandomMat(outch * 4 * num_directions);
- weights[2] = RandomMat(outch * outch * 4 * num_directions);
-
- int ret = test_layer<ncnn::LSTM>("LSTM", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_lstm failed a.dims=%d a=(%d %d %d) outch=%d, direction = %d \n", a.dims, a.w, a.h, a.c, outch, direction);
- }
-
- return ret;
- }
-
- int test_lstm_layer(const ncnn::Mat& a, int outch, int direction, float epsilon = 0.01)
- {
- int input_size = a.w * a.h * a.c;
- ncnn::ParamDict pd;
- pd.set(0, outch); // num_output
- pd.set(1, outch * input_size * 4);
- pd.set(2, direction); // bias_term
- int num_directions = direction == 2 ? 2 : 1;
-
- std::vector<ncnn::Mat> weights(3);
- weights[0] = RandomMat(outch * input_size * 4 * num_directions);
- weights[1] = RandomMat(outch * 4 * num_directions);
- weights[2] = RandomMat(outch * outch * 4 * num_directions);
-
- ncnn::Option opt;
- opt.num_threads = 1;
- opt.use_int8_inference = false;
-
- ncnn::LSTM* op = (ncnn::LSTM*)ncnn::create_layer(ncnn::layer_to_index("LSTM"));
-
- if (!op->support_vulkan) opt.use_vulkan_compute = false;
- if (!op->support_packing) opt.use_packing_layout = false;
- if (!op->support_bf16_storage) opt.use_bf16_storage = false;
- if (!op->support_image_storage) opt.use_image_storage = false;
-
- op->load_param(pd);
-
- ncnn::ModelBinFromMatArray mb(weights.data());
-
- op->load_model(mb);
-
- op->create_pipeline(opt);
-
- ncnn::Mat b;
- op->LSTM::forward(a, b, opt);
-
- std::vector<ncnn::Mat> _c1(3);
- std::vector<ncnn::Mat> _c2(3);
- std::vector<ncnn::Mat> a1(3);
- std::vector<ncnn::Mat> a2(3);
- if (direction == 0)
- {
- a1[0] = a.row_range(0, a.h / 2).clone();
- a2[0] = a.row_range(a.h / 2, a.h - a.h / 2).clone();
- }
- else
- {
- a2[0] = a.row_range(0, a.h / 2).clone();
- a1[0] = a.row_range(a.h / 2, a.h - a.h / 2).clone();
- }
-
- // initial hidden state
- ncnn::Mat hidden(outch);
- if (hidden.empty())
- return -100;
- hidden.fill(0.f);
-
- ncnn::Mat cell(outch);
- if (cell.empty())
- return -100;
- cell.fill(0.f);
-
- a1[1] = hidden;
- a1[2] = cell;
- op->forward(a1, _c1, opt);
- a2[1] = _c1[1];
- a2[2] = _c1[2];
- op->forward(a2, _c2, opt);
-
- ncnn::Mat c1 = _c1[0];
- ncnn::Mat c2 = _c2[0];
-
- if (direction == 1)
- {
- c2 = _c1[0];
- c1 = _c2[0];
- }
-
- // total height
- ncnn::Mat c;
- c.create(b.w, b.h, b.elemsize, opt.blob_allocator);
- if (c.empty())
- return -100;
-
- unsigned char* outptr = c;
- int c1_size = c1.w * c1.h;
- const unsigned char* c1ptr = c1;
- memcpy(outptr, c1ptr, c1_size * c1.elemsize);
- outptr += c1_size * c1.elemsize;
- int c2_size = c2.w * c2.h;
- const unsigned char* c2ptr = c2;
- memcpy(outptr, c2ptr, c2_size * c2.elemsize);
-
- op->destroy_pipeline(opt);
-
- delete op;
-
- if (CompareMat(b, c, epsilon) != 0)
- {
- fprintf(stderr, "test_lstm two step failed a.dims=%d a=(%d %d %d) outch=%d, direction = %d \n", a.dims, a.w, a.h, a.c, outch, direction);
- return -1;
- }
-
- return 0;
- }
-
- static int test_lstm_0()
- {
- return 0
- || test_lstm(RandomMat(4, 1), 2, 2)
- || test_lstm(RandomMat(8, 2), 2, 2)
- || test_lstm(RandomMat(16, 8), 7, 2)
- || test_lstm(RandomMat(17, 8), 8, 2)
- || test_lstm(RandomMat(19, 15), 8, 2)
- || test_lstm(RandomMat(5, 16), 16, 2)
- || test_lstm(RandomMat(3, 16), 8, 2)
- || test_lstm(RandomMat(8, 16), 16, 2)
- || test_lstm(RandomMat(2, 5), 17, 2);
- }
-
- static int test_lstm_1()
- {
- return 0
- || test_lstm_layer(RandomMat(4, 4), 1, 1)
- || test_lstm_layer(RandomMat(8, 2), 2, 1)
- || test_lstm_layer(RandomMat(16, 8), 7, 1)
- || test_lstm_layer(RandomMat(17, 8), 8, 1)
- || test_lstm_layer(RandomMat(19, 15), 8, 1)
- || test_lstm_layer(RandomMat(5, 16), 16, 1)
- || test_lstm_layer(RandomMat(3, 16), 8, 1)
- || test_lstm_layer(RandomMat(2, 5), 99, 1)
- || test_lstm_layer(RandomMat(4, 2), 1, 0)
- || test_lstm_layer(RandomMat(8, 2), 2, 0)
- || test_lstm_layer(RandomMat(16, 8), 7, 0)
- || test_lstm_layer(RandomMat(17, 8), 8, 0)
- || test_lstm_layer(RandomMat(19, 15), 8, 0)
- || test_lstm_layer(RandomMat(5, 16), 16, 0)
- || test_lstm_layer(RandomMat(3, 16), 8, 0)
- || test_lstm_layer(RandomMat(2, 5), 17, 0);
- }
-
- static int test_lstm_2()
- {
- return 0
- || test_lstm(RandomMat(4, 1), 1, 0)
- || test_lstm(RandomMat(8, 2), 2, 0)
- || test_lstm(RandomMat(16, 8), 7, 0)
- || test_lstm(RandomMat(17, 8), 8, 0)
- || test_lstm(RandomMat(19, 15), 8, 0)
- || test_lstm(RandomMat(5, 16), 16, 0)
- || test_lstm(RandomMat(3, 16), 8, 0)
- || test_lstm(RandomMat(8, 16), 16, 0)
- || test_lstm(RandomMat(2, 5), 17, 0);
- }
- static int test_lstm_3()
- {
- return 0
- || test_lstm(RandomMat(4, 1), 1, 1)
- || test_lstm(RandomMat(8, 2), 2, 1)
- || test_lstm(RandomMat(16, 8), 7, 1)
- || test_lstm(RandomMat(17, 8), 8, 1)
- || test_lstm(RandomMat(19, 15), 8, 1)
- || test_lstm(RandomMat(5, 16), 16, 1)
- || test_lstm(RandomMat(3, 16), 8, 1)
- || test_lstm(RandomMat(8, 16), 16, 1)
- || test_lstm(RandomMat(2, 5), 17, 1);
- }
-
- int main()
- {
- SRAND(7767517);
- return 0 || test_lstm_0() || test_lstm_1() || test_lstm_2() || test_lstm_3();
- }
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