Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "...\lib\site-packages\dask\dataframe\core.py", line 3486, in map_partitions

args = _maybe_align_partitions(args)


 "...\lib\site-packages\dask\dataframe\multi.py", line 147, in _maybe_align_partitions

dfs2 = iter(align_partitions(*dfs)[0])


 "...\lib\site-packages\dask\dataframe\multi.py", line 103, in align_partitions

raise ValueError("Not all divisions are known, can't align "
ValueError: Not all divisions are known, can't align partitions. Please use `set_index` to set the index.

Traceback (most recent call last):


 "keras_test.py", line 34, in <module>

h, state_h, state_c = layer(h, initial_state=[state_h0, state_c0])


 "/usr/local/lib/python3.6/dist-packages/keras/layers/recurrent.py", line 584, in __call__

output = super(RNN, self).__call__(full_input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py", line 75, in symbolic_fn_wrapper

return func(*args, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/keras/engine/base_layer.py", line 489, in __call__

output = self.call(inputs, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/keras/layers/recurrent.py", line 2247, in call

initial_state=initial_state)


 "/usr/local/lib/python3.6/dist-packages/keras/layers/recurrent.py", line 682, in call

input_length=timesteps)


 "/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py", line 3103, in rnn

input_length=input_length)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/keras/backend.py", line 4027, in rnn

input_time_zero, tuple(initial_states) + tuple(constants))


 "/usr/local/lib/python3.6/dist-packages/keras/layers/recurrent.py", line 673, in step

return self.cell.call(inputs, states, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/keras/layers/recurrent.py", line 2049, in call

c = f * c_tm1 + i * self.activation(z2)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_ops.py", line 902, in binary_op_wrapper

return func(x, y, name=name)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_ops.py", line 1201, in _mul_dispatch

return gen_math_ops.mul(x, y, name=name)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_math_ops.py", line 6125, in mul

"Mul", x=x, y=y, name=name)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 742, in _apply_op_helper

attrs=attr_protos, op_def=op_def)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/func_graph.py", line 595, in _create_op_internal

compute_device)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3322, in _create_op_internal

op_def=op_def)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1786, in __init__

control_input_ops)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1622, in _create_c_op

raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 1024 and 256 for '03_lstm/mul' (op: 'Mul') with input shapes: [?,?,1024], [?,1,256].
