./train.py error

[n0di]

hello everyone
I did not start long ago learning python and machine learning. I ask you not to judge strictly.
while training ./train.py I encountered this error

...
2019-08-16 17:12:41.510175: W tensorflow/core/framework/allocator.cc:107] Allocation of 268435456 exceeds 10% of system memory.
2019-08-16 17:12:42.468182: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
Traceback (most recent call last):
File "./train.py", line 266, in
initial_weights=initial_weights)
File "./train.py", line 239, in train
do_batch()
File "./train.py", line 222, in do_batch
feed_dict={x: batch_xs, y_: batch_ys})
File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 950, in run
run_metadata_ptr)
File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1149, in _run
str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (50, 289) for Tensor u'Placeholder_1:0', which has shape '(?, 253)'
...

Unfortunately, searches on the Internet did not help me. I ask you to explain the mistakes and the reason