Line data    Source code

       1             : /**
       2             :  Copyright (c) 2023 Stappler LLC <admin@stappler.dev>
       3             : 
       4             :  Permission is hereby granted, free of charge, to any person obtaining a copy
       5             :  of this software and associated documentation files (the "Software"), to deal
       6             :  in the Software without restriction, including without limitation the rights
       7             :  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
       8             :  copies of the Software, and to permit persons to whom the Software is
       9             :  furnished to do so, subject to the following conditions:
      10             : 
      11             :  The above copyright notice and this permission notice shall be included in
      12             :  all copies or substantial portions of the Software.
      13             : 
      14             :  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
      15             :  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
      16             :  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
      17             :  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
      18             :  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
      19             :  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
      20             :  THE SOFTWARE.
      21             :  **/
      22             : 
      23             : #ifndef SRC_LAYERS_XLSNNMATRIXMULLAYER_H_
      24             : #define SRC_LAYERS_XLSNNMATRIXMULLAYER_H_
      25             : 
      26             : #include "XLSnnLayer.h"
      27             : 
      28             : namespace stappler::xenolith::shadernn {
      29             : 
      30             : class MatrixMulLayer : public Layer {
      31             : public:
      32           0 :         virtual ~MatrixMulLayer() = default;
      33             : 
      34             :         virtual bool init(Model *, StringView tag, size_t idx, const Value&) override;
      35             : 
      36           0 :         virtual bool isTrainable() const { return _model->isTrainable(); }
      37             : 
      38       19214 :         virtual Extent3 getOutputExtent() const override {
      39       19214 :                 return Extent3(_kernelSize, 1, _batchSize);
      40             :         }
      41             : 
      42             :         virtual void setInputExtent(uint32_t index, Attachment *, Extent3 e) override;
      43             : 
      44       18006 :         Extent3 getWeightSize() const {
      45       18006 :                 auto ret = Layer::getOutputExtent();
      46       18006 :                 return Extent3(ret.width, _kernelSize, 1);
      47             :         }
      48             : 
      49        7206 :         size_t getWeightBufferSize() const {
      50        7206 :                 auto extent = getWeightSize();
      51        7206 :                 return extent.width * extent.height * extent.depth * sizeof(float);
      52             :         }
      53             : 
      54             :         virtual const core::QueuePassData *prepare(core::Queue::Builder &builder,
      55             :                         Map<Layer *, const core::AttachmentData *> inputs,
      56             :                         Map<Attachment *, const core::AttachmentData *> attachments) override;
      57             : 
      58             :         virtual const core::AttachmentData *makeOutputAttachment(core::Queue::Builder &builder, bool isGlobalOutput) override;
      59             : 
      60        7203 :         Activation getActivation() const { return _activation; }
      61       13206 :         uint32_t getKernelSize() const { return _kernelSize; }
      62             : 
      63        3600 :         Layer *getInput() const { return _input; }
      64             : 
      65             :         void generateWeights(uint8_t *buf, uint64_t size, const core::BufferData::DataCallback &cb) const;
      66             :         void generateFreeTerms(uint8_t *buf, uint64_t size, const core::BufferData::DataCallback &cb) const;
      67             : 
      68             : protected:
      69             :         Activation _activation = Activation::RELU;
      70             :         uint32_t _kernelSize = 2;
      71             :         uint32_t _batchSize = 128;
      72             :         Layer *_input = nullptr;
      73             : };
      74             : 
      75             : }
      76             : 
      77             : #endif /* SRC_LAYERS_XLSNNMATRIXMULLAYER_H_ */