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deconvolutiondepthwise_vulkan.h 2.4 kB

adreno image shader + fp16 + fp16a (#1714) * wip * wip * fix * image and imageview can not be destroyed until command execution ends * fast copy path for tightly packed data * wip * texture load works * 1d 3d image * record clone image, multiple commands share one image reference * upload download image * layer forward accept vkimagemat * vkimagemat graph works * staging vkimagemat for passing dynamic parameters, macro for fp32+image shader, padding image shader * vkimagemat elemsize * convolution test pass * conv1x1s1 image shader * fast staging image allocator from host memory, pooling image shader * convolutiondepthwise image shader * innerproduct image shader * packing image shader * crop deconvolution image shader * resolve spirv binding types * image fp16 and fp16a, cast image shader * eltwise image shader * wip * absval image shader * deconvolutiondepthwise image shader * concat image shader, squeezenet works * noop split image shader * uniform precision hint * layer support_image_storage * wip * vulkan device utility operator * command is storage and packing option aware * fallback to cpu on image allocation failed, mobilenetssd works * flatten image shader, enable more test * ci test * check imgfp32 imgfp16 imgfp16a features * fix ci test * fix ci test * upgrade swiftshader * wip * opt aggressive * imgfp16p * opt none * convolution winograd image shader * fix flush range, fast copy path for continous buffer * minor fix * fix innerproduct * wip ... * wip * cast fix * packing test * wip * image fp16p is fp16p * wip * silence * more line info * code clean * softmax image shader
6 years ago
adreno image shader + fp16 + fp16a (#1714) * wip * wip * fix * image and imageview can not be destroyed until command execution ends * fast copy path for tightly packed data * wip * texture load works * 1d 3d image * record clone image, multiple commands share one image reference * upload download image * layer forward accept vkimagemat * vkimagemat graph works * staging vkimagemat for passing dynamic parameters, macro for fp32+image shader, padding image shader * vkimagemat elemsize * convolution test pass * conv1x1s1 image shader * fast staging image allocator from host memory, pooling image shader * convolutiondepthwise image shader * innerproduct image shader * packing image shader * crop deconvolution image shader * resolve spirv binding types * image fp16 and fp16a, cast image shader * eltwise image shader * wip * absval image shader * deconvolutiondepthwise image shader * concat image shader, squeezenet works * noop split image shader * uniform precision hint * layer support_image_storage * wip * vulkan device utility operator * command is storage and packing option aware * fallback to cpu on image allocation failed, mobilenetssd works * flatten image shader, enable more test * ci test * check imgfp32 imgfp16 imgfp16a features * fix ci test * fix ci test * upgrade swiftshader * wip * opt aggressive * imgfp16p * opt none * convolution winograd image shader * fix flush range, fast copy path for continous buffer * minor fix * fix innerproduct * wip ... * wip * cast fix * packing test * wip * image fp16p is fp16p * wip * silence * more line info * code clean * softmax image shader
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) 2019 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. #ifndef LAYER_DECONVOLUTIONDEPTHWISE_VULKAN_H
  15. #define LAYER_DECONVOLUTIONDEPTHWISE_VULKAN_H
  16. #include "deconvolutiondepthwise.h"
  17. namespace ncnn {
  18. class DeconvolutionDepthWise_vulkan : virtual public DeconvolutionDepthWise
  19. {
  20. public:
  21. DeconvolutionDepthWise_vulkan();
  22. virtual int create_pipeline(const Option& opt);
  23. virtual int destroy_pipeline(const Option& opt);
  24. virtual int upload_model(VkTransfer& cmd, const Option& opt);
  25. using DeconvolutionDepthWise::forward;
  26. virtual int forward(const VkMat& bottom_blob, VkMat& top_blob, VkCompute& cmd, const Option& opt) const;
  27. virtual int forward(const VkImageMat& bottom_blob, VkImageMat& top_blob, VkCompute& cmd, const Option& opt) const;
  28. public:
  29. Mat weight_data_packed;
  30. Mat bias_data_packed;
  31. VkMat weight_data_gpu;
  32. VkMat bias_data_gpu;
  33. VkImageMat weight_data_gpu_image;
  34. VkImageMat bias_data_gpu_image;
  35. ncnn::Layer* crop;
  36. ncnn::Layer* output_crop;
  37. Pipeline* pipeline_deconvolutiondepthwise;
  38. Pipeline* pipeline_deconvolutiondepthwise_pack4;
  39. Pipeline* pipeline_deconvolutiondepthwise_pack8;
  40. Pipeline* pipeline_deconvolutiondepthwise_group;
  41. Pipeline* pipeline_deconvolutiondepthwise_group_pack4;
  42. Pipeline* pipeline_deconvolutiondepthwise_group_pack1to4;
  43. Pipeline* pipeline_deconvolutiondepthwise_group_pack4to1;
  44. Pipeline* pipeline_deconvolutiondepthwise_group_pack8;
  45. Pipeline* pipeline_deconvolutiondepthwise_group_pack1to8;
  46. Pipeline* pipeline_deconvolutiondepthwise_group_pack4to8;
  47. Pipeline* pipeline_deconvolutiondepthwise_group_pack8to4;
  48. Pipeline* pipeline_deconvolutiondepthwise_group_pack8to1;
  49. };
  50. } // namespace ncnn
  51. #endif // LAYER_DECONVOLUTIONDEPTHWISE_VULKAN_H