idk

src/activation_layer.c

@@ -0,0 +1,58 @@
+#include "activation_layer.h"
+#include "utils.h"
+#include "cuda.h"
+#include "blas.h"
+#include "gemm.h"
+
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+
+layer make_activation_layer(int batch, int inputs, ACTIVATION activation)
+{
+    layer l = {0};
+    l.type = ACTIVE;
+
+    l.inputs = inputs;
+    l.outputs = inputs;
+    l.batch=batch;
+
+    l.output = calloc(batch*inputs, sizeof(float*));
+    l.delta = calloc(batch*inputs, sizeof(float*));
+
+#ifdef GPU
+    l.output_gpu = cuda_make_array(l.output, inputs*batch);
+    l.delta_gpu = cuda_make_array(l.delta, inputs*batch);
+#endif
+    l.activation = activation;
+    fprintf(stderr, "Activation Layer: %d inputs\n", inputs);
+    return l;
+}
+
+void forward_activation_layer(layer l, network_state state)
+{
+    copy_cpu(l.outputs*l.batch, state.input, 1, l.output, 1);
+    activate_array(l.output, l.outputs*l.batch, l.activation);
+}
+
+void backward_activation_layer(layer l, network_state state)
+{
+    gradient_array(l.output, l.outputs*l.batch, l.activation, l.delta);
+    copy_cpu(l.outputs*l.batch, l.delta, 1, state.delta, 1);
+}
+
+#ifdef GPU
+
+void forward_activation_layer_gpu(layer l, network_state state)
+{
+    copy_ongpu(l.outputs*l.batch, state.input, 1, l.output_gpu, 1);
+    activate_array_ongpu(l.output_gpu, l.outputs*l.batch, l.activation);
+}
+
+void backward_activation_layer_gpu(layer l, network_state state)
+{
+    gradient_array_ongpu(l.output_gpu, l.outputs*l.batch, l.activation, l.delta_gpu);
+    copy_ongpu(l.outputs*l.batch, l.delta_gpu, 1, state.delta, 1);
+}
+#endif