72 lines
2.1 KiB
C++
72 lines
2.1 KiB
C++
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#include "kompute/operations/OpTensorCopy.hpp"
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namespace kp {
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OpTensorCopy::OpTensorCopy(const std::vector<std::shared_ptr<Tensor>>& tensors)
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{
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KP_LOG_DEBUG("Kompute OpTensorCopy constructor with params");
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this->mTensors = tensors;
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if (this->mTensors.size() < 2) {
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throw std::runtime_error(
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"Kompute OpTensorCopy called with less than 2 tensor");
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}
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kp::Tensor::TensorDataTypes dataType = this->mTensors[0]->dataType();
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uint32_t size = this->mTensors[0]->size();
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for (const std::shared_ptr<Tensor>& tensor : tensors) {
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if (tensor->dataType() != dataType) {
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throw std::runtime_error(fmt::format("Attempting to copy tensors of different types from {} to {}",
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dataType, tensor->dataType()));
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}
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if (tensor->size() != size) {
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throw std::runtime_error(fmt::format("Attempting to copy tensors of different sizes from {} to {}",
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size, tensor->size()));
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}
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}
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}
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OpTensorCopy::~OpTensorCopy()
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{
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KP_LOG_DEBUG("Kompute OpTensorCopy destructor started");
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}
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void
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OpTensorCopy::record(const vk::CommandBuffer& commandBuffer)
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{
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KP_LOG_DEBUG("Kompute OpTensorCopy record called");
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// We iterate from the second tensor onwards and record a copy to all
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for (size_t i = 1; i < this->mTensors.size(); i++) {
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this->mTensors[i]->recordCopyFrom(
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commandBuffer, this->mTensors[0], false);
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}
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}
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void
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OpTensorCopy::preEval(const vk::CommandBuffer& commandBuffer)
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{
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KP_LOG_DEBUG("Kompute OpTensorCopy preEval called");
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}
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void
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OpTensorCopy::postEval(const vk::CommandBuffer& commandBuffer)
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{
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KP_LOG_DEBUG("Kompute OpTensorCopy postEval called");
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// TODO: Simplify with a copyRawData
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uint32_t size = this->mTensors[0]->size();
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uint32_t dataTypeMemSize = this->mTensors[0]->dataTypeMemorySize();
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uint32_t memSize = size * dataTypeMemSize;
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void* data = this->mTensors[0]->rawData();
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// Copy the data from the first tensor into all the tensors
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for (size_t i = 1; i < this->mTensors.size(); i++) {
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this->mTensors[i]->setRawData(data);
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}
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}
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}
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