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add model codes about PSMNet #52

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I try to train on scene_flow dataset. the train script is the following:

CUDA_VISIBLE_DEVICES=4 python Train.py --trainingSet=/host/nfs/hs/scene_flow/train.list --validationSet=/host/nfs/hs/scene_flow/val.list --output=_output_PSMNet --modelName=PSMNet --imageShape 256 512 --batchSize=1 --numEpochs=10

@@ -0,0 +1,304 @@
import tensorflow as tf
import tensorflow.keras as keras
from .utils import *
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What are you trying to import here?

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line 3 should be deleted.

with tf.compat.v1.variable_scope('conv0',reuse=reuse):
if reuse == tf.compat.v1.AUTO_REUSE:
tf.print(bottom, ['left_batch_size:',bottom])
self._add_to_layers('CNN/conv0/conv0_1', sharedLayers.conv2d(bottom, [3, 3, 3, 32], \
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you can set the shape of the filter to [3, 3, input_batch.get_shape()[-1].value, 32] to handle inputs with a number of channels different from 3

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line 70 has been changed to the following:

self._add_to_layers('CNN/conv0/conv0_1', sharedLayers.conv2d(bottom, [3, 3, bottom.get_shape()[-1].value, 32],
activation=tf.nn.leaky_relu, batch_norm=True, apply_relu=True,strides=2, name='conv0_1',reuse=reuse))

The same error.

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