operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_avg_pool(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_avg_pool(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); ++i) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_avg_pool(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_avg_pool(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); ++i) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_conv2d(operands, input_indexes, 1, ¶ms, &ctx);
+ ff_dnn_execute_layer_conv2d(operands, input_indexes, 1, ¶ms, &ctx);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_conv2d(operands, input_indexes, 1, ¶ms, &ctx);
+ ff_dnn_execute_layer_conv2d(operands, input_indexes, 1, ¶ms, &ctx);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_dense(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_dense(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {
input_indexes[0] = 0;
params.block_size = 2;
- dnn_execute_layer_depth2space(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_depth2space(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
input_indexes[0] = 0;
input_indexes[1] = 1;
- dnn_execute_layer_math_binary(operands, input_indexes, 2, ¶ms, NULL);
+ ff_dnn_execute_layer_math_binary(operands, input_indexes, 2, ¶ms, NULL);
output = operands[2].data;
for (int i = 0; i < sizeof(input0) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_math_unary(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_math_unary(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(input) / sizeof(float); ++i) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_maximum(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_maximum(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(input) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {
operands[1].data = NULL;
input_indexes[0] = 0;
- dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL);
+ ff_dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL);
output = operands[1].data;
for (int i = 0; i < sizeof(expected_output) / sizeof(float); i++) {