Traceback (most recent call last):


 "insqa_lstm.py", line 428, in <module>

train()


 "insqa_lstm.py", line 399, in train

x1: p1, x2: p2, x3: p3, m1: q1, m2: q2, m3: q3


 "/Users/timothy/anaconda/envs/tensorflow/lib/python2.7/site-packages/theano/compile/function.py", line 317, in function

output_keys=output_keys)


 "/Users/timothy/anaconda/envs/tensorflow/lib/python2.7/site-packages/theano/compile/pfunc.py", line 449, in pfunc

no_default_updates=no_default_updates)


 "/Users/timothy/anaconda/envs/tensorflow/lib/python2.7/site-packages/theano/compile/pfunc.py", line 208, in rebuild_collect_shared

raise TypeError(err_msg, err_sug)
TypeError: ('An update must have the same type as the original shared variable (shared_var=<TensorType(float32, matrix)>, shared_var.type=TensorType(float32, matrix), update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float64, matrix)).', 'If the difference is related to the broadcast pattern, you can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function to remove broadcastable dimensions.')
2018-02-20 10:04:33 thumbor:ERROR ERROR: Traceback (most recent call last):


 "/usr/local/lib/python2.7/site-packages/thumbor/handlers/__init__.py", line 144, in get_image

self.context.request.image_url


 "/usr/local/lib/python2.7/site-packages/tornado/gen.py", line 1055, in run

value = future.result()


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 238, in result

raise_exc_info(self._exc_info)


 "/usr/local/lib/python2.7/site-packages/tornado/gen.py", line 1069, in run

yielded = self.gen.send(value)


 "/usr/local/lib/python2.7/site-packages/thumbor/handlers/__init__.py", line 578, in _fetch

loader_result = yield self.context.modules.loader.load(self.context, url)


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 483, in wrapper

future.result()


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 238, in result

raise_exc_info(self._exc_info)


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 471, in wrapper

result = f(*args, **kwargs)


 "/usr/local/lib/python2.7/site-packages/tc_aws/loaders/s3_loader.py", line 49, in load

bucket_loader.get(key, callback=handle_data)


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 483, in wrapper

future.result()


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 238, in result

raise_exc_info(self._exc_info)


 "/usr/local/lib/python2.7/site-packages/tornado/concurrent.py", line 471, in wrapper

result = f(*args, **kwargs)


 "/usr/local/lib/python2.7/site-packages/tc_aws/aws/bucket.py", line 48, in get

Key=self._clean_key(path),


 "/usr/local/lib/python2.7/site-packages/tornado_botocore/base.py", line 157, in call

callback=callback


 "/usr/local/lib/python2.7/site-packages/tornado_botocore/base.py", line 109, in _make_api_call

request_dict = self.client._convert_to_request_dict(api_params, operation_model, {})
TypeError: _convert_to_request_dict() takes exactly 3 arguments (4 given)