Signed-off-by: Ting Fu <[email protected]>
---
libavfilter/dnn/dnn_backend_tf.c | 5 +++++
1 file changed, 5 insertions(+)
diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
index c18cb4063f..c0aa510630 100644
--- a/libavfilter/dnn/dnn_backend_tf.c
+++ b/libavfilter/dnn/dnn_backend_tf.c
@@ -766,18 +766,21 @@ static DNNReturnType execute_model_tf(const DNNModel
*model, const char *input_n
if (nb_output != 1) {
// currently, the filter does not need multiple outputs,
// so we just pending the support until we really need it.
+ TF_DeleteTensor(input_tensor);
avpriv_report_missing_feature(ctx, "multiple outputs");
return DNN_ERROR;
}
tf_outputs = av_malloc_array(nb_output, sizeof(*tf_outputs));
if (tf_outputs == NULL) {
+ TF_DeleteTensor(input_tensor);
av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for
*tf_outputs\n"); \
return DNN_ERROR;
}
output_tensors = av_mallocz_array(nb_output, sizeof(*output_tensors));
if (!output_tensors) {
+ TF_DeleteTensor(input_tensor);
av_freep(&tf_outputs);
av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for output
tensor\n"); \
return DNN_ERROR;
@@ -786,6 +789,7 @@ static DNNReturnType execute_model_tf(const DNNModel
*model, const char *input_n
for (int i = 0; i < nb_output; ++i) {
tf_outputs[i].oper = TF_GraphOperationByName(tf_model->graph,
output_names[i]);
if (!tf_outputs[i].oper) {
+ TF_DeleteTensor(input_tensor);
av_freep(&tf_outputs);
av_freep(&output_tensors);
av_log(ctx, AV_LOG_ERROR, "Could not find output \"%s\" in
model\n", output_names[i]); \
@@ -799,6 +803,7 @@ static DNNReturnType execute_model_tf(const DNNModel
*model, const char *input_n
tf_outputs, output_tensors, nb_output,
NULL, 0, NULL, tf_model->status);
if (TF_GetCode(tf_model->status) != TF_OK) {
+ TF_DeleteTensor(input_tensor);
av_freep(&tf_outputs);
av_freep(&output_tensors);
av_log(ctx, AV_LOG_ERROR, "Failed to run session when executing
model\n");
--
2.17.1
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