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power.cpp 1.5 kB

Fix warnings on Visual Studio (#1456) * Fix warning C4244 in src/layer/convolution.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/convolution_sgemm_int8.h C4244: 'initializing': conversion from 'double' to 'int', possible loss of data * Fix warning C4244 in src/layer/deconvolution.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/elu.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4267 in src/layer/embed.cpp C4267: 'initializing': conversion from 'size_t' to 'int', possible loss of data * Fix warning C4244 in src/layer/exp.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/innerproduct.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/log.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data C4244: 'initializing': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/lrn.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/mvn.cp C4244: 'initializing': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/power.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warnings C4244 and C4267 in src/layer/proposal.cpp C4244: 'initializing': conversion from 'double' to 'float', possible loss of data C4244: 'initializing': conversion from 'double' to 'int', possible loss of data C4267: 'argument': conversion from 'size_t' to 'int', possible loss of data C4267: 'initializing': conversion from 'size_t' to 'int', possible loss of data * Fix warning C4244 in src/layer/reduction.cpp C4244: 'return': conversion from 'double' to 'T', possible loss of data * Fix warning C4244 in src/layer/tanh.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warning C4244 in src/layer/binaryop.cpp C4244: '=': conversion from 'double' to 'float', possible loss of data * Fix warnings C4244 and C4267 in src/layer/unaryop.cpp C4244: 'return': conversion from 'double' to 'T', possible loss of data C4267: 'initializing': conversion from 'size_t' to 'int', possible loss of data * Fix warning C4244 in src/layer/x86/convolutiondepthwise_3x3_int8.h C4244: 'initializing': conversion from 'double' to 'int', possible loss of data
6 years ago
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  1. // Tencent is pleased to support the open source community by making ncnn available.
  2. //
  3. // Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
  4. //
  5. // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  6. // in compliance with the License. You may obtain a copy of the License at
  7. //
  8. // https://opensource.org/licenses/BSD-3-Clause
  9. //
  10. // Unless required by applicable law or agreed to in writing, software distributed
  11. // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
  12. // CONDITIONS OF ANY KIND, either express or implied. See the License for the
  13. // specific language governing permissions and limitations under the License.
  14. #include "power.h"
  15. #include <math.h>
  16. namespace ncnn {
  17. DEFINE_LAYER_CREATOR(Power)
  18. Power::Power()
  19. {
  20. one_blob_only = true;
  21. support_inplace = true;
  22. }
  23. int Power::load_param(const ParamDict& pd)
  24. {
  25. power = pd.get(0, 1.f);
  26. scale = pd.get(1, 1.f);
  27. shift = pd.get(2, 0.f);
  28. return 0;
  29. }
  30. int Power::forward_inplace(Mat& bottom_top_blob, const Option& opt) const
  31. {
  32. int w = bottom_top_blob.w;
  33. int h = bottom_top_blob.h;
  34. int channels = bottom_top_blob.c;
  35. int size = w * h;
  36. #pragma omp parallel for num_threads(opt.num_threads)
  37. for (int q=0; q<channels; q++)
  38. {
  39. float* ptr = bottom_top_blob.channel(q);
  40. for (int i=0; i<size; i++)
  41. {
  42. ptr[i] = static_cast<float>(pow((shift + ptr[i] * scale), power));
  43. }
  44. }
  45. return 0;
  46. }
  47. } // namespace ncnn