Training using celebA dataset fails with error: Type mismatch: expected int32, got float

### Here is the output

{'batch_size': 64,
'beta1': 0.5,
'c_dim': 3,
'checkpoint_dir': 'checkpoint',
'dataset': 'celebA',
'epoch': 25,
'input_fname_pattern': '*.jpg',
'input_height': 108,
'input_width': None,
'is_crop': True,
'is_train': False,
'learning_rate': 0.0002,
'output_height': 64,
'output_width': None,
'sample_dir': 'samples',
'train_size': inf,
'visualize': False}
Traceback (most recent call last):
File "/home/aanam/dcgan/DCGAN-tensorflow/main.py", line 96, in
tf.app.run()
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "/home/aanam/dcgan/DCGAN-tensorflow/main.py", line 76, in main
sample_dir=FLAGS.sample_dir)
File "/home/aanam/dcgan/DCGAN-tensorflow/model.py", line 75, in __init__
self.build_model()
File "/home/aanam/dcgan/DCGAN-tensorflow/model.py", line 107, in build_model
self.G = self.generator(self.z)
File "/home/aanam/dcgan/DCGAN-tensorflow/model.py", line 359, in generator
self.z_, [-1, s_h16, s_w16, self.gf_dim * 8])
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1758, in reshape
name=name)
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 454, in apply_op
as_ref=input_arg.is_ref)
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 628, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 180, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 163, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 353, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/public/apps/python/2.7.10/gcc.4.4.7/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 290, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got 4.0 of type 'float' instead.

Start in model.py at the generator reshape call identified in the traceback, then reproduce the celebA training configuration shown in the issue. Trace the shape values passed to that call and verify that training starts without the reported TensorFlow type error.

Written by the indexing model from the issue text.