WARNING:tensorflow:From /content/3D-RCAN/rcan/__init__.py:16: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead. WARNING:tensorflow:From /content/3D-RCAN/rcan/__init__.py:16: The name tf.logging.ERROR is deprecated. Please use tf.compat.v1.logging.ERROR instead. Using TensorFlow backend. Loading training data - raw: /content/training_source/image000003.tif gt: /content/training_target/image000003.tif tcmalloc: large alloc 1142784000 bytes == 0x28b26000 @ 0x7f52902ca1e7 0x7f528d7475e1 0x7f528d7abc78 0x7f528d7abd93 0x7f528d85efed 0x7f528d85f94e 0x7f528d8622c8 0x7f52324c6577 0x59fd0e 0x50d256 0x507be4 0x509900 0x50a2fd 0x50beb4 0x507be4 0x509900 0x50a2fd 0x50beb4 0x507be4 0x509900 0x50a2fd 0x50beb4 0x507be4 0x509900 0x50a2fd 0x50beb4 0x507be4 0x50ad03 0x634e72 0x634f27 0x6386df - raw: /content/training_source/image000010.tif gt: /content/training_target/image000010.tif - raw: /content/training_source/image000012.tif gt: /content/training_target/image000012.tif - raw: /content/training_source/image000015.tif gt: /content/training_target/image000015.tif - raw: /content/training_source/image000018.tif gt: /content/training_target/image000018.tif - raw: /content/training_source/image000020.tif gt: /content/training_target/image000020.tif - raw: /content/training_source/image000022.tif gt: /content/training_target/image000022.tif - raw: /content/training_source/image000024.tif gt: /content/training_target/image000024.tif - raw: /content/training_source/image000026.tif gt: /content/training_target/image000026.tif - raw: /content/training_source/image000028.tif gt: /content/training_target/image000028.tif - raw: /content/training_source/image000030.tif gt: /content/training_target/image000030.tif - raw: /content/training_source/image000032.tif gt: /content/training_target/image000032.tif - raw: /content/training_source/image000034.tif gt: /content/training_target/image000034.tif - raw: /content/training_source/image000036.tif gt: /content/training_target/image000036.tif - raw: /content/training_source/image000039.tif gt: /content/training_target/image000039.tif - raw: /content/training_source/image000043.tif gt: /content/training_target/image000043.tif - raw: /content/training_source/image000045.tif gt: /content/training_target/image000045.tif - raw: /content/training_source/image000047.tif gt: /content/training_target/image000047.tif - raw: /content/training_source/image000051.tif gt: /content/training_target/image000051.tif - raw: /content/training_source/image000053.tif gt: /content/training_target/image000053.tif Loading validation data - raw: /content/validation_source/image000006.tif gt: /content/validation_target/image000006.tif - raw: /content/validation_source/image000041.tif gt: /content/validation_target/image000041.tif - raw: /content/validation_source/image000049.tif gt: /content/validation_target/image000049.tif Building RCAN model - input_shape = [ 16 256 256] - num_channels = 32 - num_residual_blocks = 3 - num_residual_groups = 5 - channel_reduction = 8 Training RCAN model 0epoch [00:00, ?epoch/s] 0batch [00:00, ?batch/s]Traceback (most recent call last): File "/content/3D-RCAN/train.py", line 205, in TqdmCallback(tqdm_class=tqdm) File "/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 1658, in fit_generator initial_epoch=initial_epoch) File "/usr/local/lib/python3.6/dist-packages/keras/engine/training_generator.py", line 42, in fit_generator model._make_train_function() File "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py", line 512, in _make_train_function loss=self.total_loss) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py", line 504, in get_updates return [self.apply_gradients(grads_and_vars)] File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py", line 433, in apply_gradients self._create_slots(var_list) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/keras/optimizer_v2/adam.py", line 149, in _create_slots self.add_slot(var, 'm') File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py", line 585, in add_slot initial_value=initial_value) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/variables.py", line 260, in __call__ return cls._variable_v2_call(*args, **kwargs) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/variables.py", line 254, in _variable_v2_call shape=shape) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/variables.py", line 235, in previous_getter = lambda **kws: default_variable_creator_v2(None, **kws) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/variable_scope.py", line 2552, in default_variable_creator_v2 shape=shape) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/variables.py", line 262, in __call__ return super(VariableMetaclass, cls).__call__(*args, **kwargs) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/resource_variable_ops.py", line 1406, in __init__ distribute_strategy=distribute_strategy) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/resource_variable_ops.py", line 1538, in _init_from_args name="initial_value", dtype=dtype) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1184, in convert_to_tensor return convert_to_tensor_v2(value, dtype, preferred_dtype, name) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1242, in convert_to_tensor_v2 as_ref=False) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1273, in internal_convert_to_tensor (dtype.name, value.dtype.name, value)) ValueError: Tensor conversion requested dtype float32_ref for Tensor with dtype float32: 0epoch [00:01, ?epoch/s] Training, done. Time elapsed: 0.0 hour(s) 5.0 min(s) 35 sec(s)