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lavfi/dnn_backend_tensorflow.c: fix mem leak in load_native_model
Signed-off-by: Ting Fu <ting.fu@intel.com>
This commit is contained in:
parent
3499ec84cc
commit
b08b5f07b6
@ -330,7 +330,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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TF_OperationDescription *op_desc;
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TF_Output input;
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int64_t strides[] = {1, 1, 1, 1};
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TF_Tensor *tensor;
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TF_Tensor *kernel_tensor = NULL, *biases_tensor = NULL;
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int64_t dims[4];
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int dims_len;
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char name_buffer[NAME_BUFFER_SIZE];
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@ -347,17 +347,15 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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dims[2] = params->kernel_size;
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dims[3] = params->input_num;
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dims_len = 4;
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tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, size * sizeof(float));
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memcpy(TF_TensorData(tensor), params->kernel, size * sizeof(float));
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TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
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kernel_tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, size * sizeof(float));
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memcpy(TF_TensorData(kernel_tensor), params->kernel, size * sizeof(float));
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TF_SetAttrTensor(op_desc, "value", kernel_tensor, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to set value for kernel of conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to add kernel to conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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snprintf(name_buffer, NAME_BUFFER_SIZE, "transpose%d", layer);
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@ -370,8 +368,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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TF_SetAttrType(op_desc, "Tperm", TF_INT32);
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op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to add transpose to conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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snprintf(name_buffer, NAME_BUFFER_SIZE, "conv2d%d", layer);
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@ -385,8 +382,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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TF_SetAttrString(op_desc, "padding", "VALID", 5);
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*cur_op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to add conv2d to conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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snprintf(name_buffer, NAME_BUFFER_SIZE, "conv_biases%d", layer);
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@ -394,17 +390,15 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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TF_SetAttrType(op_desc, "dtype", TF_FLOAT);
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dims[0] = params->output_num;
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dims_len = 1;
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tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, params->output_num * sizeof(float));
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memcpy(TF_TensorData(tensor), params->biases, params->output_num * sizeof(float));
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TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
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biases_tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, params->output_num * sizeof(float));
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memcpy(TF_TensorData(biases_tensor), params->biases, params->output_num * sizeof(float));
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TF_SetAttrTensor(op_desc, "value", biases_tensor, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to set value for conv_biases of conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to add conv_biases to conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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snprintf(name_buffer, NAME_BUFFER_SIZE, "bias_add%d", layer);
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@ -416,8 +410,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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TF_SetAttrType(op_desc, "T", TF_FLOAT);
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*cur_op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to add bias_add to conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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snprintf(name_buffer, NAME_BUFFER_SIZE, "activation%d", layer);
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@ -440,11 +433,15 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
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TF_SetAttrType(op_desc, "T", TF_FLOAT);
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*cur_op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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av_log(ctx, AV_LOG_ERROR, "Failed to add activation function to conv layer %d\n", layer);
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return DNN_ERROR;
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goto err;
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}
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return DNN_SUCCESS;
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err:
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TF_DeleteTensor(kernel_tensor);
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TF_DeleteTensor(biases_tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to add conv layer %d\n", layer);
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return DNN_ERROR;
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}
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static DNNReturnType add_depth_to_space_layer(TFModel *tf_model, TF_Operation **cur_op,
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@ -499,11 +496,13 @@ static DNNReturnType add_pad_layer(TFModel *tf_model, TF_Operation **cur_op,
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pads[7] = params->paddings[3][1];
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TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteTensor(tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to set value for pad of layer %d\n", layer);
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return DNN_ERROR;
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}
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op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteTensor(tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to add pad to layer %d\n", layer);
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return DNN_ERROR;
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}
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@ -519,6 +518,7 @@ static DNNReturnType add_pad_layer(TFModel *tf_model, TF_Operation **cur_op,
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TF_SetAttrString(op_desc, "mode", "SYMMETRIC", 9);
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*cur_op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteTensor(tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to add mirror_pad to layer %d\n", layer);
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return DNN_ERROR;
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}
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@ -546,11 +546,13 @@ static DNNReturnType add_maximum_layer(TFModel *tf_model, TF_Operation **cur_op,
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*y = params->val.y;
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TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteTensor(tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to set value for maximum/y of layer %d", layer);
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return DNN_ERROR;
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}
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op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteTensor(tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to add maximum/y to layer %d\n", layer);
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return DNN_ERROR;
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}
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@ -565,6 +567,7 @@ static DNNReturnType add_maximum_layer(TFModel *tf_model, TF_Operation **cur_op,
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TF_SetAttrType(op_desc, "T", TF_FLOAT);
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*cur_op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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TF_DeleteTensor(tensor);
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av_log(ctx, AV_LOG_ERROR, "Failed to add maximum to layer %d\n", layer);
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return DNN_ERROR;
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}
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@ -579,7 +582,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
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TF_OperationDescription *op_desc;
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TF_Operation *op;
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TF_Operation *transpose_op;
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TF_Tensor *tensor;
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TF_Tensor *tensor = NULL;
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TF_Output input;
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int32_t *transpose_perm;
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int64_t transpose_perm_shape[] = {4};
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@ -600,6 +603,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
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#define CLEANUP_ON_ERROR(tf_model) \
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{ \
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TF_DeleteTensor(tensor); \
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TF_DeleteGraph(tf_model->graph); \
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TF_DeleteStatus(tf_model->status); \
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av_log(ctx, AV_LOG_ERROR, "Failed to set value or add operator to layer\n"); \
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@ -627,6 +631,9 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
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CLEANUP_ON_ERROR(tf_model);
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}
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transpose_op = TF_FinishOperation(op_desc, tf_model->status);
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if (TF_GetCode(tf_model->status) != TF_OK){
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CLEANUP_ON_ERROR(tf_model);
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}
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for (layer = 0; layer < native_model->layers_num; ++layer){
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switch (native_model->layers[layer].type){
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