toy task-example1-error
bharathichezhiyan opened this issue · comments
I have no problem executing Test forward pass.
but the output for Test forward pass are
batch_encoded:
[[6 3 9]
[0 4 8]
[0 0 7]]
decoder inputs:
[[1 1 1]
[0 0 0]
[0 0 0]
[0 0 0]]
decoder predictions:
[[9 3 3]
[8 3 0]
[0 3 0]
[0 3 0]]
I belived the decoder predictions need not to be same as yours. so I move forward to Training on Toy task. I am getting error.
InvalidArgumentError Traceback (most recent call last)
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1322 try:
-> 1323 return fn(*args)
1324 except errors.OpError as e:
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1301 feed_dict, fetch_list, target_list,
-> 1302 status, run_metadata)
1303
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py in exit(self, type_arg, value_arg, traceback_arg)
472 compat.as_text(c_api.TF_Message(self.status.status)),
--> 473 c_api.TF_GetCode(self.status.status))
474 # Delete the underlying status object from memory otherwise it stays alive
InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [100,20] vs. shape[1] = [3,20]
[[Node: plain_decoder/while/plain_decoder/lstm_cell/concat = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](plain_decoder/while/TensorArrayReadV3, plain_decoder/while/Identity_3, plain_decoder/while/plain_decoder/lstm_cell/concat/axis)]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
in ()
7 for batch in range(max_batches):
8 fd = next_feed()
----> 9 _, l = sess.run([train_op, loss], fd)
10 loss_track.append(l)
11
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
887 try:
888 result = self._run(None, fetches, feed_dict, options_ptr,
--> 889 run_metadata_ptr)
890 if run_metadata:
891 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1118 if final_fetches or final_targets or (handle and feed_dict_tensor):
1119 results = self._do_run(handle, final_targets, final_fetches,
-> 1120 feed_dict_tensor, options, run_metadata)
1121 else:
1122 results = []
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1315 if handle is None:
1316 return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1317 options, run_metadata)
1318 else:
1319 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)
/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1334 except KeyError:
1335 pass
-> 1336 raise type(e)(node_def, op, message)
1337
1338 def _extend_graph(self):
InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [100,20] vs. shape[1] = [3,20]
[[Node: plain_decoder/while/plain_decoder/lstm_cell/concat = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](plain_decoder/while/TensorArrayReadV3, plain_decoder/while/Identity_3, plain_decoder/while/plain_decoder/lstm_cell/concat/axis)]]
Caused by op 'plain_decoder/while/plain_decoder/lstm_cell/concat', defined at:
File "/home/bharathi/anaconda3/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"main", mod_spec)
File "/home/bharathi/anaconda3/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/main.py", line 3, in
app.launch_new_instance()
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/traitlets/config/application.py", line 653, in launch_instance
app.start()
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 162, in start
super(ZMQIOLoop, self).start()
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 8, in
dtype=tf.float32, time_major=True, scope="plain_decoder",
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 614, in dynamic_rnn
dtype=dtype)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 777, in _dynamic_rnn_loop
swap_memory=swap_memory)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2816, in while_loop
result = loop_context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2640, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2590, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 762, in _time_step
(output, new_state) = call_cell()
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn.py", line 748, in
call_cell = lambda: cell(input_t, state)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/layers/base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 611, in call
lstm_matrix = self._linear1([inputs, m_prev])
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 1189, in call
res = math_ops.matmul(array_ops.concat(args, 1), self._weights)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py", line 1099, in concat
return gen_array_ops._concat_v2(values=values, axis=axis, name=name)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 706, in _concat_v2
"ConcatV2", values=values, axis=axis, name=name)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
op_def=op_def)
File "/home/bharathi/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1470, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [100,20] vs. shape[1] = [3,20]
[[Node: plain_decoder/while/plain_decoder/lstm_cell/concat = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](plain_decoder/while/TensorArrayReadV3, plain_decoder/while/Identity_3, plain_decoder/while/plain_decoder/lstm_cell/concat/axis)]]