Error while run the code in google colab #15
Description
Hello,
Thank you for this work, I want to run this model to test it, but I got these errors:
I appreciate if you help me:
!python preprocess.py
Traceback (most recent call last):
File "preprocess.py", line 93, in <module>
detected_input = format_image(input)
File "preprocess.py", line 16, in format_image
rects = detector(image, 1)
RuntimeError: Error while calling cudnnConvolutionBiasActivationForward( context(), &alpha1, descriptor(data), data.device(), (const cudnnFilterDescriptor_t)filter_handle, filters.device(), (const cudnnConvolutionDescriptor_t)conv_handle, (cudnnConvolutionFwdAlgo_t)forward_algo, forward_workspace, forward_workspace_size_in_bytes, &alpha2, out_desc, out, descriptor(biases), biases.device(), identity_activation_descriptor(), out_desc, out) in file /tmp/pip-install-_6ew03sd/dlib_903800dc2bdc4b2f8f73607384ded563/dlib/cuda/cudnn_dlibapi.cpp:1237. code: 9, reason: CUDNN_STATUS_NOT_SUPPORTED
!python ER_model.py test
Instructions for updating:
non-resource variables are not supported in the long term
[+] Dataset found and loaded
[+] Building CNN
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tflearn/initializations.py:110: calling UniformUnitScaling.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/deprecation.py:507: UniformUnitScaling.__init__ (from tensorflow.python.ops.init_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.initializers.variance_scaling instead with distribution=uniform to get equivalent behavior.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tflearn/layers/core.py:247: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tflearn/initializations.py:165: calling TruncatedNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
2022-08-22 11:47:44.764486: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2022-08-22 11:47:44.767823: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2299995000 Hz
2022-08-22 11:47:44.768019: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x6bdc380 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-08-22 11:47:44.768050: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2022-08-22 11:47:48.399618: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key Conv2D/L2-Loss/moving_avg not found in checkpoint
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.NotFoundError: Key Conv2D/L2-Loss/moving_avg not found in checkpoint
[[{{node save_1/RestoreV2}}]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 1290, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key Conv2D/L2-Loss/moving_avg not found in checkpoint
[[node save_1/RestoreV2 (defined at /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
Original stack trace for 'save_1/RestoreV2':
File "ER_model.py", line 164, in <module>
network.build_network()
File "ER_model.py", line 75, in build_network
tensorboard_verbose = 0
File "/usr/local/lib/python3.7/dist-packages/tflearn/models/dnn.py", line 65, in __init__
best_val_accuracy=best_val_accuracy)
File "/usr/local/lib/python3.7/dist-packages/tflearn/helpers/trainer.py", line 153, in __init__
allow_empty=True)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 828, in __init__
self.build()
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 840, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 878, in _build
build_restore=build_restore)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 508, in _build_internal
restore_sequentially, reshape)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps
restore_sequentially)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 575, in bulk_restore
return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2
name=name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
self._traceback = tf_stack.extract_stack()
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 1300, in restore
names_to_keys = object_graph_key_mapping(save_path)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 1618, in object_graph_key_mapping
object_graph_string = reader.get_tensor(trackable.OBJECT_GRAPH_PROTO_KEY)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/pywrap_tensorflow_internal.py", line 915, in get_tensor
return CheckpointReader_GetTensor(self, compat.as_bytes(tensor_str))
tensorflow.python.framework.errors_impl.NotFoundError: Key _CHECKPOINTABLE_OBJECT_GRAPH not found in checkpoint
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "ER_model.py", line 165, in <module>
network.load_model()
File "ER_model.py", line 118, in load_model
self.model.load(join(SAVE_DIRECTORY, SAVE_MODEL_FILENAME_TF))
File "/usr/local/lib/python3.7/dist-packages/tflearn/models/dnn.py", line 302, in load
self.trainer.restore(model_file, weights_only, **optargs)
File "/usr/local/lib/python3.7/dist-packages/tflearn/helpers/trainer.py", line 500, in restore
self.restorer.restore(self.session, model_file)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 1306, in restore
err, "a Variable name or other graph key that is missing")
tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:
Key Conv2D/L2-Loss/moving_avg not found in checkpoint
[[node save_1/RestoreV2 (defined at /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
Original stack trace for 'save_1/RestoreV2':
File "ER_model.py", line 164, in <module>
network.build_network()
File "ER_model.py", line 75, in build_network
tensorboard_verbose = 0
File "/usr/local/lib/python3.7/dist-packages/tflearn/models/dnn.py", line 65, in __init__
best_val_accuracy=best_val_accuracy)
File "/usr/local/lib/python3.7/dist-packages/tflearn/helpers/trainer.py", line 153, in __init__
allow_empty=True)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 828, in __init__
self.build()
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 840, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 878, in _build
build_restore=build_restore)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 508, in _build_internal
restore_sequentially, reshape)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps
restore_sequentially)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 575, in bulk_restore
return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2
name=name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
self._traceback = tf_stack.extract_stack()
Also the link to colab to have a look:
https://colab.research.google.com/drive/1LJVsWXX14_hnnA97EL1-MRjO8mWgmwVN?usp=sharing
ps: I uploaded the the final model in the model folder.