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https://github.com/lordmathis/CUDANet.git
synced 2025-11-07 02:04:26 +00:00
Initialize and use cuBLAS properly
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@@ -21,7 +21,7 @@ Layers::Dense::Dense(int inputSize, int outputSize, cublasHandle_t cublasHandle)
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CUDA_CHECK(cudaMalloc((void**)&d_weights, sizeof(float) * inputSize * outputSize));
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CUDA_CHECK(cudaMalloc((void**)&d_biases, sizeof(float) * biases.size()));
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to_cuda();
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toCuda();
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}
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Layers::Dense::~Dense() {
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@@ -54,7 +54,17 @@ void Layers::Dense::forward(const float* input, float* output) {
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cublasSaxpy(cublasHandle, outputSize, &alpha, d_biases, 1, output, 1);
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}
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void Layers::Dense::to_cuda() {
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CUDA_CHECK(cudaMemcpy(d_weights, weights.data(), sizeof(float) * inputSize * outputSize, cudaMemcpyHostToDevice));
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CUDA_CHECK(cudaMemcpy(d_biases, biases.data(), sizeof(float) * biases.size(), cudaMemcpyHostToDevice));
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void Layers::Dense::toCuda() {
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CUBLAS_CHECK(cublasSetMatrix(outputSize, inputSize, sizeof(float), weights.data(), inputSize, d_weights, outputSize));
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CUBLAS_CHECK(cublasSetVector(biases.size(), sizeof(float), biases.data(), 1, d_biases, 1));
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}
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void Layers::Dense::setWeights(const std::vector<std::vector<float>>& weights) {
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this->weights = weights;
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toCuda();
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}
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void Layers::Dense::setBiases(const std::vector<float>& biases) {
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this->biases = biases;
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toCuda();
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}
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