Remove const from layer input

src/backends/cuda/layers/conv2d.cu

@@ -1,53 +0,0 @@
-#include <vector>
-
-#include "activation.hpp"
-#include "conv2d.hpp"
-#include "convolution.cuh"
-#include "cuda_helper.cuh"
-#include "layer.hpp"
-#include "matmul.cuh"
-#include "vector.cuh"
-
-using namespace CUDANet::Layers;
-
-void Conv2d::initCUDA() {
-    d_output = nullptr;
-    CUDA_CHECK(cudaMalloc(
-        (void**)&d_output,
-        sizeof(float) * outputSize.first * outputSize.second * numFilters
-    ));
-
-    d_weights = nullptr;
-    CUDA_CHECK(cudaMalloc(
-        (void**)&d_weights, sizeof(float) * kernelSize.first *
-                                kernelSize.second * inputChannels * numFilters
-    ));
-
-    d_biases = nullptr;
-    CUDA_CHECK(cudaMalloc((void**)&d_biases, sizeof(float) * numFilters));
-}
-
-void Conv2d::delCUDA() {
-    cudaFree(d_output);
-    cudaFree(d_weights);
-    cudaFree(d_biases);
-}
-
-void Conv2d::toCuda() {
-    CUDA_CHECK(cudaMemcpy(
-        d_weights, weights.data(),
-        sizeof(float) * kernelSize.first * kernelSize.second * inputChannels *
-            numFilters,
-        cudaMemcpyHostToDevice
-    ));
-
-    CUDA_CHECK(cudaMemcpy(
-        d_biases, biases.data(), sizeof(float) * numFilters,
-        cudaMemcpyHostToDevice
-    ));
-}
-
-float* Conv2d::forwardCUDA(const float* d_input) {
-    // Convolve
-
-}