diff options
Diffstat (limited to 'libavfilter/dnn/dnn_backend_native_layer_conv2d.c')
| -rw-r--r-- | libavfilter/dnn/dnn_backend_native_layer_conv2d.c | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_conv2d.c b/libavfilter/dnn/dnn_backend_native_layer_conv2d.c index b13b4314ec..594187f5b1 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_conv2d.c +++ b/libavfilter/dnn/dnn_backend_native_layer_conv2d.c @@ -23,7 +23,8 @@ #define CLAMP_TO_EDGE(x, w) ((x) < 0 ? 0 : ((x) >= (w) ? (w - 1) : (x))) -int convolve(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t output_operand_index, const ConvolutionalParams *conv_params) +int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes, + int32_t output_operand_index, const void *parameters) { float *output; int32_t input_operand_index = input_operand_indexes[0]; @@ -32,6 +33,7 @@ int convolve(DnnOperand *operands, const int32_t *input_operand_indexes, int32_t int width = operands[input_operand_index].dims[2]; int channel = operands[input_operand_index].dims[3]; const float *input = operands[input_operand_index].data; + const ConvolutionalParams *conv_params = (const ConvolutionalParams *)parameters; int radius = conv_params->kernel_size >> 1; int src_linesize = width * conv_params->input_num; |