Hi,I'm running the td3_per.py,and I amended parser.add_argument('--play', action='store_true') to parser.add_argument('--play', action='store_true',default=False) for training.
But when the episodes increased by 100， the programs would stop and report the following error:
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'batch_normalization_1/keras_learning_phase' with dtype bool [[Node: batch_normalization_1/keras_learning_phase = Placeholder[dtype=DT_BOOL, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]] [[Node: dense_8/BiasAdd/_1409 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_125_dense_8/BiasAdd", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
I don't know what caused this error，can you please help me with that?
Thank you！
Hi,I'm running the td3_per.py,and I amended
parser.add_argument('--play', action='store_true')toparser.add_argument('--play', action='store_true',default=False)for training.But when the episodes increased by 100， the programs would stop and report the following error:
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'batch_normalization_1/keras_learning_phase' with dtype bool [[Node: batch_normalization_1/keras_learning_phase = Placeholder[dtype=DT_BOOL, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]] [[Node: dense_8/BiasAdd/_1409 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_125_dense_8/BiasAdd", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]I don't know what caused this error，can you please help me with that?
Thank you！