[FFmpeg-devel,V2,1/2] libavfilter/dnn/dnn_backend_tf: fix typo that variable uninitialized.

Submitted by Guo, Yejun on Aug. 16, 2019, 2:36 a.m.

Details

Message ID 1565923016-25980-1-git-send-email-yejun.guo@intel.com
State New
Headers show

Commit Message

Guo, Yejun Aug. 16, 2019, 2:36 a.m.
if it is initialized randomly, the tensorflow lib will report
error message such as:
Attempt to add output -7920 of depth_to_space4 not in range [0, 1) to node with type Identity

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
---
 libavfilter/dnn/dnn_backend_tf.c | 1 +
 1 file changed, 1 insertion(+)

Comments

Pedro Arthur Aug. 19, 2019, 2:39 p.m.
Em qui, 15 de ago de 2019 às 23:40, Guo, Yejun <yejun.guo@intel.com> escreveu:
>
> if it is initialized randomly, the tensorflow lib will report
> error message such as:
> Attempt to add output -7920 of depth_to_space4 not in range [0, 1) to node with type Identity
>
> Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
> ---
>  libavfilter/dnn/dnn_backend_tf.c | 1 +
>  1 file changed, 1 insertion(+)
>
> diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
> index ba959ae..ca7434a 100644
> --- a/libavfilter/dnn/dnn_backend_tf.c
> +++ b/libavfilter/dnn/dnn_backend_tf.c
> @@ -490,6 +490,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
>
>      op_desc = TF_NewOperation(tf_model->graph, "Identity", "y");
>      input.oper = op;
> +    input.index = 0;
>      TF_AddInput(op_desc, input);
>      TF_FinishOperation(op_desc, tf_model->status);
>      if (TF_GetCode(tf_model->status) != TF_OK){
> --
> 2.7.4
>
LGTM.
Pushed, thanks.

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diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
index ba959ae..ca7434a 100644
--- a/libavfilter/dnn/dnn_backend_tf.c
+++ b/libavfilter/dnn/dnn_backend_tf.c
@@ -490,6 +490,7 @@  static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
 
     op_desc = TF_NewOperation(tf_model->graph, "Identity", "y");
     input.oper = op;
+    input.index = 0;
     TF_AddInput(op_desc, input);
     TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){