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authorTing Fu <ting.fu@intel.com>2021-03-24 15:39:28 +0800
committerGuo, Yejun <yejun.guo@intel.com>2021-03-25 13:10:32 +0800
commit637bdefdebba1b57d7e9055f4a9fc27251d1d5b4 (patch)
tree3a0d0d12ec5acbaab47c3089b81725146e1f6b97
parentb08b5f07b6323cfd2dae1a945a8802e07ae24e6c (diff)
downloadffmpeg-637bdefdebba1b57d7e9055f4a9fc27251d1d5b4.tar.gz
lavfi/dnn_backend_tensorflow.c: fix mem leak in execute_model_tf
Signed-off-by: Ting Fu <ting.fu@intel.com>
-rw-r--r--libavfilter/dnn/dnn_backend_tf.c5
1 files changed, 5 insertions, 0 deletions
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");