TRT8 works with almost every nerual network now!!!!(including demo3d)
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@@ -40,8 +40,6 @@ Dims MaxPoolFixedSizeRT::getOutputDimensions(int index, const Dims *inputs, int
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return Dims3{this->c, this->h, this->w};
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}
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void MaxPoolFixedSizeRT::configureWithFormat(const Dims *inputDims, int nbInputs, const Dims *outputDims, int nbOutputs,DataType type, PluginFormat format, int maxBatchSize) NOEXCEPT {}
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int MaxPoolFixedSizeRT::initialize() NOEXCEPT {
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return 0;
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}
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@@ -62,7 +60,7 @@ int MaxPoolFixedSizeRT::enqueue(int batchSize, const void *const *inputs, void *
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MaxPoolingForward(srcData, dstData, batchSize, this->c, this->h, this->w, this->stride_H, this->stride_W, this->winSize, this->padding, stream);
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return 0;
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}
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#elif NV_TENSORRT_MAJOR == 7
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#elif NV_TENSORRT_MAJOR <= 7
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int32_t MaxPoolFixedSizeRT::enqueue(int32_t batchSize, const void *const *inputs, void **outputs, void *workspace,
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cudaStream_t stream) {
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dnnType *srcData = (dnnType*)reinterpret_cast<const dnnType*>(inputs[0]);
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@@ -115,12 +113,43 @@ const char *MaxPoolFixedSizeRT::getPluginVersion() const NOEXCEPT {
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return "1";
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}
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IPluginV2 *MaxPoolFixedSizeRT::clone() const NOEXCEPT {
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IPluginV2Ext *MaxPoolFixedSizeRT::clone() const NOEXCEPT {
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auto *p = new MaxPoolFixedSizeRT(c,h,w,n,stride_H,stride_W,winSize,padding);
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p->setPluginNamespace(mPluginNamespace.c_str());
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return p;
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}
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DataType
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MaxPoolFixedSizeRT::getOutputDataType(int index, const nvinfer1::DataType *inputTypes, int nbInputs) const NOEXCEPT {
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return DataType::kFLOAT;
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}
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void MaxPoolFixedSizeRT::attachToContext(cudnnContext *cudnnContext, cublasContext *cublasContext,
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IGpuAllocator *gpuAllocator) NOEXCEPT {
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}
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bool MaxPoolFixedSizeRT::isOutputBroadcastAcrossBatch(int outputIndex, const bool *inputIsBroadcasted,
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int nbInputs) const NOEXCEPT {
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return false;
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}
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bool MaxPoolFixedSizeRT::canBroadcastInputAcrossBatch(int inputIndex) const NOEXCEPT {
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return false;
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}
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void
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MaxPoolFixedSizeRT::configurePlugin(const Dims *inputDims, int32_t nbInputs, const Dims *outputDims, int32_t nbOutputs,
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const DataType *inputTypes, const DataType *outputTypes,
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const bool *inputIsBroadcast, const bool *outputIsBroadcast,
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PluginFormat floatFormat, int32_t maxBatchSize) NOEXCEPT {
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}
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void MaxPoolFixedSizeRT::detachFromContext() NOEXCEPT {
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IPluginV2Ext::detachFromContext();
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}
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MaxPoolFixedSizeRTPluginCreator::MaxPoolFixedSizeRTPluginCreator() {
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mPluginAttributes.clear();
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mFC.nbFields = mPluginAttributes.size();
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@@ -135,15 +164,14 @@ const char *MaxPoolFixedSizeRTPluginCreator::getPluginNamespace() const NOEXCEPT
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return mPluginNamespace.c_str();
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}
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IPluginV2 *MaxPoolFixedSizeRTPluginCreator::deserializePlugin(const char *name, const void *serialData,size_t serialLength) NOEXCEPT {
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IPluginV2Ext *MaxPoolFixedSizeRTPluginCreator::deserializePlugin(const char *name, const void *serialData,size_t serialLength) NOEXCEPT {
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auto *pluginObj = new MaxPoolFixedSizeRT(serialData,serialLength);
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pluginObj->setPluginNamespace(mPluginNamespace.c_str());
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return pluginObj;
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}
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IPluginV2 *MaxPoolFixedSizeRTPluginCreator::createPlugin(const char *name, const PluginFieldCollection *fc) NOEXCEPT {
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IPluginV2Ext *MaxPoolFixedSizeRTPluginCreator::createPlugin(const char *name, const PluginFieldCollection *fc) NOEXCEPT {
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const PluginField *fields = fc->fields;
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//todo assert
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int c = *(static_cast<const int *>(fields[0].data));
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int h = *(static_cast<const int *>(fields[1].data));
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int w = *(static_cast<const int *>(fields[2].data));
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