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author | Ting Fu <ting.fu@intel.com> | 2021-03-24 15:39:28 +0800 |
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committer | Guo, Yejun <yejun.guo@intel.com> | 2021-03-25 13:10:32 +0800 |
commit | 637bdefdebba1b57d7e9055f4a9fc27251d1d5b4 (patch) | |
tree | 3a0d0d12ec5acbaab47c3089b81725146e1f6b97 | |
parent | b08b5f07b6323cfd2dae1a945a8802e07ae24e6c (diff) | |
download | ffmpeg-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.c | 5 |
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"); |