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libavfilter/dnn/dnn_backend_native: find the input operand according to input name 

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
This commit is contained in:
Guo, Yejun 2019-09-20 11:56:03 +08:00 committed by Pedro Arthur
parent 9ae42c130c
commit 75ca94f3cf
1 changed files with 23 additions and 16 deletions
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39
libavfilter/dnn/dnn_backend_native.c
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@ -33,30 +33,37 @@
static DNNReturnType set_input_output_native(void *model, DNNInputData *input, const char *input_name, const char **output_names, uint32_t nb_output)
{
ConvolutionalNetwork *network = (ConvolutionalNetwork *)model;
DnnOperand *oprd = NULL;
if (network->layers_num <= 0 || network->operands_num <= 0)
return DNN_ERROR;
av_assert0(input->dt == DNN_FLOAT);
for (int i = 0; i < network->operands_num; ++i) {
oprd = &network->operands[i];
if (strcmp(oprd->name, input_name) == 0) {
if (oprd->type != DOT_INPUT)
return DNN_ERROR;
break;
}
oprd = NULL;
}
/**
* as the first step, suppose network->operands[0] is the input operand.
*/
network->operands[0].dims[0] = 1;
network->operands[0].dims[1] = input->height;
network->operands[0].dims[2] = input->width;
network->operands[0].dims[3] = input->channels;
network->operands[0].type = DOT_INPUT;
network->operands[0].data_type = DNN_FLOAT;
network->operands[0].isNHWC = 1;
av_freep(&network->operands[0].data);
network->operands[0].length = calculate_operand_data_length(&network->operands[0]);
network->operands[0].data = av_malloc(network->operands[0].length);
if (!network->operands[0].data)
if (!oprd)
return DNN_ERROR;
input->data = network->operands[0].data;
oprd->dims[0] = 1;
oprd->dims[1] = input->height;
oprd->dims[2] = input->width;
oprd->dims[3] = input->channels;
av_freep(&oprd->data);
oprd->length = calculate_operand_data_length(oprd);
oprd->data = av_malloc(oprd->length);
if (!oprd->data)
return DNN_ERROR;
input->data = oprd->data;
return DNN_SUCCESS;
}