add onnx pack

components/ai/onnx/operator_int/softmax.c

@@ -0,0 +1,57 @@
+#include "onnx.h"
+//#include<math.h>
+
+
+int abs_core(int x)
+{
+    return x > 0?x:-x;
+}
+
+int exp_core(int x)
+{
+           x = 1 + (x << 8);
+
+           x *= x;       x *= x;       x *= x;       x *= x;
+
+           x *= x;       x *= x;       x *= x;       x *= x;
+
+           return x;
+
+}
+
+void softmax(const int *input, const uint32_t dim_vec, int *output)
+{
+    long long sum = 0;
+
+    for(int i = 0; i < dim_vec; i++)
+    {
+        output[i] = input[i] >> 16;
+    }
+
+    /*
+    for(int i = 0; i < dim_vec; i++)
+    {
+        output[i] = abs_core(input[i] >> 16);
+        sum = sum + (output[i]);
+    }
+    printf("sum = %ld\r\n" , sum);
+    for(int i = 0; i < dim_vec; i++)
+    {
+        //output[i] = output[i] / (sum);
+        output[i] = sum / output[i];
+        //output[i] = output[i];
+    }*/
+}
+
+int* softmax_layer(Onnx__GraphProto* graph, const int *input, int64_t* shapeInput, int64_t* shapeOutput, const char* layer_name)
+{
+    //assert(graph != NULL && input != NULL && layer_name != "" && shapeInput[1] > 0);
+
+    int* output = (int*) malloc(sizeof(int)*shapeInput[1]);
+    memset(output, 0, sizeof(sizeof(int)*shapeInput[1]));
+    softmax(input, shapeInput[1], output);
+
+    memcpy(shapeInput, shapeOutput, sizeof(int64_t)*3);
+
+    return output;
+}