Incompatible shapes: [20,1] vs. [80,1]

[pengcao]

I am runing the code on tensoflow=1.12, but have a problem:
Traceback (most recent call last):
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call
return fn(*args)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [20,1] vs. [80,1]
[[{{node prediction/logistic_loss/mul}} = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](prediction/Squeeze, prediction/ToFloat)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "F:/09.Practice/chatbot-deeplearning-retrieval/udc_train.py", line 72, in
tf.app.run()
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "F:/09.Practice/chatbot-deeplearning-retrieval/udc_train.py", line 68, in main
estimator.fit(input_fn=input_fn_train, steps=None, monitors=[eval_monitor])
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 525, in fit
loss = self._train_model(input_fn=input_fn, hooks=hooks)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1095, in _train_model
_, loss = mon_sess.run([model_fn_ops.train_op, model_fn_ops.loss])
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 671, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1156, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1255, in run
raise six.reraise(*original_exc_info)
File "C:\01.develop\tool\python3\lib\site-packages\six.py", line 693, in reraise
raise value
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1240, in run
return self._sess.run(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1320, in run
run_metadata=run_metadata))
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 1294, in after_run
induce_stop = m.step_end(self._last_step, result)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 368, in step_end
return self.every_n_step_end(step, output)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 753, in every_n_step_end
validation_outputs = self._evaluate_estimator()
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 718, in _evaluate_estimator
name=self.name)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 618, in evaluate
log_progress=log_progress)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 940, in _evaluate_model
config=self._session_config)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\evaluation.py", line 274, in _evaluate_once
session.run(eval_ops, feed_dict)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 671, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1156, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1255, in run
raise six.reraise(*original_exc_info)
File "C:\01.develop\tool\python3\lib\site-packages\six.py", line 693, in reraise
raise value
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1240, in run
return self._sess.run(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1312, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1076, in run
return self._sess.run(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
run_metadata_ptr)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [20,1] vs. [80,1]
[[node prediction/logistic_loss/mul (defined at F:\09.Practice\chatbot-deeplearning-retrieval\models\dual_encoder.py:87) = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](prediction/Squeeze, prediction/ToFloat)]]

Caused by op 'prediction/logistic_loss/mul', defined at:
File "F:/09.Practice/chatbot-deeplearning-retrieval/udc_train.py", line 72, in
tf.app.run()
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "F:/09.Practice/chatbot-deeplearning-retrieval/udc_train.py", line 68, in main
estimator.fit(input_fn=input_fn_train, steps=None, monitors=[eval_monitor])
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 525, in fit
loss = self._train_model(input_fn=input_fn, hooks=hooks)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1095, in _train_model
_, loss = mon_sess.run([model_fn_ops.train_op, model_fn_ops.loss])
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 671, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1156, in run
run_metadata=run_metadata)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1240, in run
return self._sess.run(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1320, in run
run_metadata=run_metadata))
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 1294, in after_run
induce_stop = m.step_end(self._last_step, result)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 368, in step_end
return self.every_n_step_end(step, output)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 753, in every_n_step_end
validation_outputs = self._evaluate_estimator()
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\monitors.py", line 718, in _evaluate_estimator
name=self.name)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 618, in evaluate
log_progress=log_progress)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 911, in _evaluate_model
model_fn_results = self._get_eval_ops(features, labels, metrics)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1293, in _get_eval_ops
model_fn_lib.ModeKeys.EVAL, metrics)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1228, in _call_model_fn
model_fn_results = self._model_fn(features, labels, **kwargs)
File "F:\09.Practice\chatbot-deeplearning-retrieval\udc_model.py", line 92, in model_fn
tf.concat(all_targets, 0))
File "F:\09.Practice\chatbot-deeplearning-retrieval\models\dual_encoder.py", line 87, in dual_encoder_model
losses = tf.nn.sigmoid_cross_entropy_with_logits(logits=logits, labels=tf.to_float(targets))
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\ops\nn_impl.py", line 181, in sigmoid_cross_entropy_with_logits
relu_logits - logits * labels,
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 866, in binary_op_wrapper
return func(x, y, name=name)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1131, in _mul_dispatch
return gen_math_ops.mul(x, y, name=name)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5357, in mul
"Mul", x=x, y=y, name=name)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\framework\ops.py", line 3274, in create_op
op_def=op_def)
File "C:\01.develop\tool\python3\lib\site-packages\tensorflow\python\framework\ops.py", line 1770, in init
self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Incompatible shapes: [20,1] vs. [80,1]
[[node prediction/logistic_loss/mul (defined at F:\09.Practice\chatbot-deeplearning-retrieval\models\dual_encoder.py:87) = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](prediction/Squeeze, prediction/ToFloat)]]

[Alice1222518]

I have the same problem, have you solved it?

[xjy233]

I have the same problem, have you solved it?

you can set tf.flags.DEFINE_integer("eval_batch_size", 1, "Batch size during evaluation") in udc_hparams.py