ValueError: Dimensions must be equal, but are 900 and 300 for 'model_0/prepro/prepro/fw/fw/while/basic_lstm_cell/MatMul_6' (op: 'MatMul') with input shapes: [?,900], [300,400].

` Traceback (most recent call last):
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1567, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 900 and 300 for 'model_0/prepro/prepro/fw/fw/while/basic_lstm_cell/MatMul_6' (op: 'MatMul') with input shapes: [?,900], [300,400].
`
`During handling of the above exception, another exception occurred:`

`Traceback
`
` (most recent call last):
File "/home/u19872/.conda/envs/bert01/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/u19872/bert01/bi-att-flow/basic/cli.py", line 126, in
tf.app.run()
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/home/u19872/bert01/bi-att-flow/basic/cli.py", line 123, in main
m(config)
File "/home/u19872/bert01/bi-att-flow/basic/main.py", line 23, in main
_train(config)
File "/home/u19872/bert01/bi-att-flow/basic/main.py", line 82, in _train
models = get_multi_gpu_models(config)
File "/home/u19872/bert01/bi-att-flow/basic/model.py", line 21, in get_multi_gpu_models
model = Model(config, scope, rep=gpu_idx == 0)
File "/home/u19872/bert01/bi-att-flow/basic/model.py", line 59, in __init__
self._build_forward()
File "/home/u19872/bert01/bi-att-flow/basic/model.py", line 165, in _build_forward
(fw_g0, bw_g0), _ = bidirectional_dynamic_rnn(first_cell, first_cell, p0, x_len, dtype='float', scope='g0') # [N, M, JX, 2d]
File "/home/u19872/bert01/bi-att-flow/my/tensorflow/rnn.py", line 62, in bidirectional_dynamic_rnn
time_major=time_major, scope=scope)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py", line 412, in bidirectional_dynamic_rnn
time_major=time_major, scope=fw_scope)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py", line 627, in dynamic_rnn
dtype=dtype)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py", line 824, in _dynamic_rnn_loop
swap_memory=swap_memory)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3224, in while_loop
result = loop_context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2956, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2893, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3194, in
body = lambda i, lv: (i + 1, orig_body(*lv))
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py", line 793, in _time_step
skip_conditionals=True)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py", line 248, in _rnn_step
new_output, new_state = call_cell()
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py", line 781, in
call_cell = lambda: cell(input_t, state)
File "/home/u19872/bert01/bi-att-flow/my/tensorflow/rnn_cell.py", line 16, in __call__
outputs_do, new_state_do = super(SwitchableDropoutWrapper, self).__call__(inputs, state, scope=scope)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 1099, in __call__
output, new_state = self._cell(inputs, state, scope=scope)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 339, in __call__
*args, **kwargs)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 717, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 620, in call
array_ops.concat([inputs, h], 1), self._kernel)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 2122, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 4279, in mat_mul
name=name)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1734, in __init__
control_input_ops)
File "/home/u19872/.conda/envs/bert01/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1570, in _create_c_op
raise ValueError(str(e))
ValueError: Dimensions must be equal, but are 900 and 300 for 'model_0/prepro/prepro/fw/fw/while/basic_lstm_cell/MatMul_6' (op: 'MatMul') with input shapes: [?,900], [300,400].``
`
Why I'm getting Value ERROR please help me through this