How to import a tensorflow model with dropout in opencv

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Hi, I tried using the advice here -> https://github.com/opencv/opencv/issu.... Saving the checkpoint with dropout and saving the graph without dropout. Here is the issue that I face, along with the name of all the layers read by OpenCV 3.4.1:

Conv1/convolution1/Conv2D

Conv1/convolution1/Relu

Conv1/pooling_1

Conv2/convolution2/Conv2D

Conv2/convolution2/Relu

Conv2/pooling_2

Conv3/convolution3/Conv2D

Conv3/convolution3/Relu

Conv3/Reshape/nchw Conv3/Reshape

Dense1/fully_connected5/MatMul

Dense1/fully_connected5/Relu

Dense2/fully_connected6/MatMul

Dense2/fully_connected6/Relu

Dense2/output_node [ INFO:0]

Initialize OpenCL runtime...

OpenCV(3.4.1) Error: Backtrace (Can't infer a dim denoted by -1) in computeShapeByReshapeMask, file /home/ayushpandey/opencv/modules/dnn/src/layers/reshape_layer.cpp, line 136 terminate called after throwing an instance of 'cv::Exception'

what(): OpenCV(3.4.1) /home/ayushpandey/opencv/modules/dnn/src/layers/reshape_layer.cpp:136: error: (-1) Can't infer a dim denoted by -1 in function computeShapeByReshapeMask

Aborted (core dumped)

Here is my tensorflow code ->https://pastebin.com/mMgRbHV0 ( Commented lines are uncommented and the lines corresponding to uncommented pool1, pool2 and saver.save is commented for saving graph without dropout ).

Then I run the following commands to freeze the graph.

python freeze_graph.py --input_graph=./input_graph.pb --input_checkpoint=./with_dropout.ckpt --output_graph=./output_graph.pb --output_node=Dense2/output_node

followed by

python optimize_for_inference.py --input output_graph.pb --output without_dropout.pb --frozen_graph True --input_names input_node --output_names Dense2/output_node

and then I try to load the "without_dropout.pb" with OpenCV where I face the issue.