garbage

__device__ void activationLayer_forwardPropagation(Layer * device_layer, Eigen::MatrixXf * input, Eigen::MatrixXf * output){
	// *output = *input;
}

__device__ void denseLayer_forwardPropagation(DenseLayer * device_layer, Eigen::MatrixXf * input, Eigen::MatrixXf * output){
	int idx = blockIdx.x * blockDim.x + threadIdx.x;
	device_layer->input[idx] = (*input)[idx];
	(*output)[idx] = (*input)[idx].dot(device_layer->weights[idx]) + device_layer->bias[idx];
}

__global__ void gpuNetwork_forwardPropagation(Layer ** device_layers, int num_layers, Eigen::MatrixXf * output){
	for(int i = 0; i < num_layers; i++){
		if(!device_layers[i]->type){
			DenseLayer *dense_layer = static_cast<DenseLayer*>(device_layers[i]);
			denseLayer_forwardPropagation(dense_layer, output, output);
		} else {
			ActivationLayer *activation_layer = static_cast<ActivationLayer*>(device_layers[i]);
			activationLayer_forwardPropagation(activation_layer, output, output);
		}
		cudaDeviceSynchronize();
	}
}