int' object is not iterable tensorflowint' object is not iterable tensorflow

int' object is not iterable tensorflow06 Sep int' object is not iterable tensorflow

2022-02-10 01:58:45.143420: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. rev2023.8.21.43589. File "/data/tf-keras-surgeon/src/tfkerassurgeon/utils.py", line 91, in get_node_inbound_nodes warmup_steps: 2000 x_scale: 10.0 File "/usr/local/lib/python3.7/dist-packages/object_detection/meta_architectures/faster_rcnn_meta_arch.py", line 1318, in _extract_rpn_feature_maps INFO:tensorflow:Reading record datasets for input file: ['Tensorflow\workspace\annotations\test.record'] into the labels input on backprop by default. The second key (4) is just an integer with the value 4, not a tuple. How to fix the Python TypeError: 'int' Object is not Iterable train: true It adds an item to the list. For example, consider the following code: When you run this code, you will get the following error: The reason for this error is that Tensors are not iterable. } Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing. force_use_bias: true _run_main(main, args) WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1176: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. } If you know that each variable in the formula is denoted by one capital letter. 2021-07-25 18:42:52.597620: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2) learning_rate_base: 0.800000011920929 Yes, even for a one-dimensional input. _run_main(main, args) outputs = call_fn(inputs, *args, **kwargs) } wait_interval=300, timeout=FLAGS.eval_timeout) outputs = self.convolution_op(inputs, self.kernel) File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 1009, in eager_eval_loop epsilon: 0.001 INFO:tensorflow:Found new checkpoint at /content/gdrive/MyDrive/content/log_files_barca_bayern/ckpt-11 The Keras API and usage should be similar to the TF 2.0 code, so updating once I resolve this issue should be easy. As a search on stackoverflow shows, newbies in programming often try to calculate the sum of one element, which of course leads to an error. } However, I get the same error in the evaluation. eval_config { W1113 16:36:47.720357 139810192238464 deprecation.py:356] From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1176: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Node: 'model/conv1_conv/Conv2D' use_depthwise: true } File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler Semantic search without the napalm grandma exploit (Ep. ssd { } File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 251, in _run_main loss { W0210 01:58:50.257192 16892 deprecation.py:341] From D:\Environments\TensorflowObjectDetectionAPI\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\builders\dataset_builder.py:101: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version. The error you are encountering should go away. prediction_dict = self._predict_first_stage(preprocessed_inputs) Note that I have added an underscore to the variable name sum_. File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 303, in run return fn(*args, **kwargs) epsilon: 0.0010000000474974513 in the end i removed the input f out of the function, placed it on the outside and iterated from there, this function was originally called by an estimator.train(), kinda of a crappy solution, but i can . pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5 2022-02-10 01:58:50.197395: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusparse64_11.dll'; dlerror: cusparse64_11.dll not found Here's the section of my code I'm having trouble with: So my intention is to run through aldurstengd_ororka, and for each "age" tuple in the dictionary, I run another for loop for each "item" inside the tuple. min_depth: 16 apply_sigmoid_to_scores: false We fixed a bug with the CenterNet model recently. Version 0.2.1 has this fix and is available through Pip. issue when wrapping a dataset into a tf.function. 2021-07-25 18:42:42.957351: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11 I0725 18:42:42.906693 140014892648320 config_util.py:552] Maybe overwriting sample_1_of_n_eval_examples: None Kicad Ground Pads are not completey connected with Ground plane. /usr/local/lib/python3.7/dist-packages/keras/backend.py:450: UserWarning: tf.keras.backend.set_learning_phase is deprecated and will be removed after 2020-10-11. WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards. File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 940, in eager_eval_loop File "/usr/local/lib/python3.7/dist-packages/keras/engine/functional.py", line 589, in _run_internal_graph I0220 23:53:29.752399 140280673650560 convolutional_keras_box_predictor.py:154] depth of additional conv before box predictor: 0 min_level: 3 tf.compat.v1.app.run() TypeError: 'NoneType' object is not iterable. Making statements based on opinion; back them up with references or personal experience. Did you notice the difference? I1113 16:36:50.155207 139810192238464 checkpoint_utils.py:142] Waiting for new checkpoint at /content/gdrive/MyDrive/content/log_files_barca_bayern global_step=global_step, The text was updated successfully, but these errors were encountered: Is this issue happening in the first training loop? localization_loss { File "Tensorflow/models/research/object_detection/model_main_tf2.py", line 90, in main File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler Connect and share knowledge within a single location that is structured and easy to search. Instructions for updating: OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Archlinux, TensorFlow installed from (source or binary): binary, TensorFlow version (use command below): 2.0.0-dev20190312. And this works perfect! Python Int Object is Not Iterable - freeCodeCamp.org I0220 23:53:55.001547 140280673650560 model_lib_v2.py:943] A replica probably exhausted all examples. File "/usr/local/lib/python3.7/dist-packages/object_detection/meta_architectures/faster_rcnn_meta_arch.py", line 1346, in _extract_proposal_features Do characters know when they succeed at a saving throw in AD&D 2nd Edition? To see all available qualifiers, see our documentation. name=self.class.name) This fixed the original problem. 2022-02-10 01:58:50.194836: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusolver64_11.dll'; dlerror: cusolver64_11.dll not found Closing as stale. INFO:tensorflow:Reading unweighted datasets: ['Tensorflow/workspace/annotations/test.record'] Can you tell what the model_dir was when you launched the code ? } post_processing { matcher { localization_loss { Something like: What distinguishes top researchers from mediocre ones? tf.compat.v1.app.run() WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. faster_rcnn_box_coder { global_step=global_step, } Not an integer number of course. Create a tf.sparse.SparseTensor and use tf.sparse.to_dense instead. File "D:\Environments\TensorflowObjectDetectionAPI\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\model_lib_v2.py", line 1009, in eager_eval_loop File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1096, in call mean: 0.0 global_step=global_step, I1113 16:36:41.833942 139810192238464 efficientnet_model.py:143] round_filter input=112 output=112 decay: 0.99 fine_tune_checkpoint_type: "detection" 2022-11-13 16:36:38.053407: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia Instructions for updating: argmax_matcher { } Whether we are using pre-entry into a tuple, list, set, or even a dictionary. File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 1165, in eval_continuously Making statements based on opinion; back them up with references or personal experience. sys.exit(main(argv)) epsilon: 0.001, And use some trick when assigning variables. INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: None Quantifier complexity of the definition of continuity of functions. Find centralized, trusted content and collaborate around the technologies you use most. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Floppy drive detection on an IBM PC 5150 by PC/MS-DOS, Best regression model for points that follow a sigmoidal pattern. input_path: "/content/drive/MyDrive/Object_detection/tfod/training_demo/annotations/test_vedai2.record" inputs, training=training, mask=mask) I expected model_main_tf2.py to output tf event files. W0210 01:58:50.213191 16892 model_lib_v2.py:1107] Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Use ref() instead. Use tf.cast instead. min_depth: 0 Is declarative programming just imperative programming 'under the hood'? I0220 23:53:16.816279 140280673650560 checkpoint_utils.py:145] Found new checkpoint at Tensorflow/workspace/models/my_frcnn_640/ckpt-6 python ../object_detection/models/research/object_detection/model_main_tf2.py --model_dir=checkpoints/ --pipeline_config_path=mask_rcnn_inception_resnet_v2_1024x1024.config --checkpoint_dir=checkpoints/ --sample_1_of_n_eval=1 --also_log_to_stderr. warnings.warn('tf.keras.backend.set_learning_phase is deprecated and ' 2021-07-23 12:18:48.162754: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2) 2021-07-23 12:18:48.163266: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 2299995000 Hz Traceback (most recent call last): File "model_main_tf2.py", line 113, in tf.compat.v1.app.run() File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 303, in run _run_main(main, args) File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 251, in _run_main sys.exit(main(argv)) File "model_main_tf2.py", line 88, in main wait_interval=300, timeout=FLAGS.eval_timeout) File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 1157, in eval_continuously global_step=global_step, File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 1001, in eager_eval_loop for evaluator in evaluators: TypeError: 'NoneType' object is not iterable, model { use_moving_averages: false I am using Google Colab for this purpose so I am not sure I had any impact on the drivers, also tensorflow is already installed in Google Colab if I am not mistaken. W0725 18:42:43.388194 140014892648320 dataset_builder.py:88] num_readers has been reduced to 1 to match input file shards. force_match_for_each_row: true In retrospect I would say that I prefer how it used to be in tensorflow1. Exercise: Run this minimal example and reproduce the error in your online Python shell! faster_rcnn_box_coder { num_classes: 9 I1113 16:36:41.145924 139810192238464 efficientnet_model.py:143] round_filter input=32 output=32 File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 1165, in eval_continuously Command: We have a function that should calculate the sum of the elements of the list including the elements of the nested lists. So I then tried what some people mentioned on similar problems and tried AttributeError: 'Adam' object has no attribute 'build' and then one mentioned inside of it however, it doesn't fix it. Instructions for updating: weighted_sigmoid_focal { proposal_features = ( rpn_features_to_crop, self.endpoints = self._extract_proposal_features( Should I open a new issue for this or it is a known and desired behavior? The comment about model_dir and fine_tune_checkpoint was directed to @masahi who got an error due to mismatching shapes. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Tensorflow - TypeError: 'int' object is not iterable } WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards. wait_interval=300, timeout=FLAGS.eval_timeout) What is the path you have specified for fine_tune_checkpoint and model_dir ? my model_dir path : /home/temp/trainings/centernet_1024x1024_v5, my eval code: !python /content/models/research/object_detection/model_main_tf2.py Should I use 'denote' or 'be'?

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