March 24, 2022 / #Python Int Object is Not Iterable - Python Error [Solved] Kolade Chris If you are running your Python code and you see the error "TypeError: 'int' object is not iterable", it means you are trying to loop through an integer or other data type that loops cannot work on. The defining characteristic of a tuple is the comma separating the values, not the braces, thus a = 1,2,3 creates a tuple, and assigns it to a. metrics_set: "coco_detection_metrics" We read every piece of feedback, and take your input very seriously. TypeError: 'int' object is not iterable and don't know why. If sloppy execution is desired, use tf.data.Options.deterministic. Use tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE) instead. Still problem with 'int' object is not iterable Problem with using list comprehension to transform based on two lists. 2021-07-25 18:42:42.941359: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero score_converter: SIGMOID input_path: "/content/drive/MyDrive/Object_detection/tfod/training_demo/annotations/train_vedai2.record" Training works fine with the same config file: !python model_main_tf2.py --model_dir=/content/drive/MyDrive/Object_detection/tfod/training_demo/models/my_ssd_mobilenet_v2/vedai2/ --pipeline_config_path=/content/drive/MyDrive/Object_detection/tfod/training_demo/models/my_ssd_mobilenet_v2/vedai2/pipeline_vedai2.config, !python model_main_tf2.py --model_dir=/content/drive/MyDrive/Object_detection/tfod/training_demo/models/my_ssd_mobilenet_v2/vedai2/ --pipeline_config_path=/content/drive/MyDrive/Object_detection/tfod/training_demo/models/my_ssd_mobilenet_v2/vedai2/pipeline_vedai2.config --checkpoint_dir=/content/drive/MyDrive/Object_detection/tfod/training_demo/models/my_ssd_mobilenet_v2/vedai2/, I get the following error: Implicit typing means that when declaring a variable, you do not need to specify its type; when explicitly, you must. total_steps: 300000 @MehmetBicici Can you share your full logs ? } I0210 01:58:58.872439 16892 checkpoint_utils.py:149] Found new checkpoint at Tensorflow\workspace\models\my_ssd_mobnet\ckpt-6 } It should be an iterable object so that could be a sequence (string, tuples) or collection (set, dictionary) or any iterator object. It returns the int value. batch_size: 16 Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing, I'm unsure whether I can help with the actual question, but it's. What determines the edge/boundary of a star system? to your account, TypeError: 'DatasetV1Adapter' object is not an iterator. Accepted answer The error means that this line vetor_xB [B] = list (vetor_x [i]), is not able to convert the float values to a list, instead you probably want to simply append the float values to your lists, but we need to define those lists before we can use them, like this: shuffle: false The error you are encountering should go away. startup_delay_steps: 0 width_scale: 5.0 To see all available qualifiers, see our documentation. An iterable is an object that is capable of returning elements one at a time. INFO:tensorflow:Reading unweighted datasets: ['/content/gdrive/MyDrive/content/test/teams.tfrecord'] @vighneshbirodkar I just downloaded a trained centernet model from tf2 model zoo (model link), updated eval_input_reader to point to my local coco validation tfrecord, and tried evaluating. } 2022-02-10 01:58:50.219052: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 So, the typeerror: int object is not iterable error occurs when the interpreter expects an iterable object and receives just an integer. And depending on this type, already output the result. } The error usually means that there is a different underlying issue. Tip: to be sure, run print(x_train.shape), and make sure all the values except first (dim 0) match your input_shape. 2021-07-25 18:42:42.957598: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1766] Cannot dlopen some GPU libraries. 2022-11-13 16:36:38.053514: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia } Now that we know what Tensors are, lets take a look at the TypeError: Tensor object is not iterable error. proposal_features = ( [[{{node model/conv1_conv/Conv2D}}]] We have a function that should calculate the sum of the elements of the list including the elements of the nested lists. Lets see how our example would look in this case. Create a tf.sparse.SparseTensor and use tf.sparse.to_dense instead. [Op:__inference_compute_eval_dict_26441] exception. Well occasionally send you account related emails. (1) UNIMPLEMENTED: DNN library is not found. } File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1096, in call We fixed a bug with the CenterNet model recently. type: 'ssd_efficientnet-b0_bifpn_keras' Skipping pending examples on other replicas. }, train_input_reader: { Do objects exist as the way we think they do even when nobody sees them, How to launch a Manipulate (or a function that uses Manipulate) via a Button. And also share your full config file. } TypeError: 'NoneType' object is not iterable. WARNING:tensorflow:Forced number of epochs for all eval validations to be 1. Proper way to feed time-series data to stateful LSTM? Instructions for updating: Possible error in Stanley's combinatorics volume 1. @vighneshbirodkar can you explain the d7a784e what exactly is being done there? What does soaking-out run capacitor mean? File "Tensorflow/models/research/object_detection/model_main_tf2.py", line 90, in main model_lib_v2.eval_continuously( W0220 23:53:08.128212 140280673650560 dataset_builder.py:88] num_readers has been reduced to 1 to match input file shards. Node: 'model/conv1_conv/Conv2D' conv_hyperparams { File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler Catholic Sources Which Point to the Three Visitors to Abraham in Gen. 18 as The Holy Trinity? outputs = self.convolution_op(inputs, self.kernel) My model looks like this: My training data is a list of lists each comprised of 1000 floats. File "/usr/local/lib/python3.7/dist-packages/object_detection/meta_architectures/faster_rcnn_meta_arch.py", line 873, in _predict_first_stage To convert the 4 into a single item tuple, you need to do something slightly odd, add a trailing comma after the value, thus (4,). Traceback (most recent call last): What would happen if lightning couldn't strike the ground due to a layer of unconductive gas? And if it suddenly arises then you can easily solve it. data_augmentation_options { Note that I have added an underscore to the variable name sum_. feature_extractor { } Of course, if we really want to use the + operator, we can pre-write our physical education grade in a list with one element, for example like this: The result is expectedly the same as the previous one. 2 Answers Sorted by: 8 The error happened when it's trying to unpack state with statement c, h=state. center: true Have a question about this project? File "/usr/local/lib/python3.7/dist-packages/keras/layers/convolutional.py", line 248, in call Sign in Updated the model builder and feature extractor such that the upsampling If sloppy execution is desired, use tf.data.Options.deterministic. But the value can, for example, be returned from a function. Instructions for updating: This study of documentation is one of the most effective ways to improve your programming skills. Ad Find Your Bootcamp Match warnings.warn('tf.keras.backend.set_learning_phase is deprecated and ' force_use_bias: true } How much of mathematical General Relativity depends on the Axiom of Choice? ssd_random_crop { INFO:tensorflow:Found new checkpoint at Tensorflow/workspace/models/my_frcnn_640/ckpt-6 Instructions for updating: Asking for help, clarification, or responding to other answers. use_static_shapes: false Is it rude to tell an editor that a paper I received to review is out of scope of their journal? The comment about model_dir and fine_tune_checkpoint was directed to @masahi who got an error due to mismatching shapes. fine_tune_checkpoint: "/content/drive/MyDrive/Object_detection/tfod/training_demo/pre-trained_models/ssd_mobilenet_v2_320x320_coco17_tpu-8/checkpoint/ckpt-0" Whereas training runs without errors. 2 root error(s) found. prediction_dict = self._predict_first_stage(preprocessed_inputs) I1113 16:36:42.518593 139810192238464 efficientnet_model.py:143] round_filter input=1280 output=1280 outputs = call_fn(inputs, *args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler tf_record_input_reader { It returns everything that should be displayed in the console when the command being passed is executed. --model_dir=$model_dir Check it out by yourself! As mentioned, if you iterate a non-iterable object such as an int, you will get the message: TypeError: argument of type 'int' is not iterable in Python. TypeError: 'NoneType' object is not iterable while performing model evaluation. pre-trained model: Mask R-CNN Inception ResNet V2 1024x1024 from https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md, File "../object_detection/models/research/object_detection/model_main_tf2.py", line 113, in tf.compat.v1.app.run() File "/home/ubuntu/anaconda3/envs/tensorflow2_latest_p37/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/home/ubuntu/anaconda3/envs/tensorflow2_latest_p37/gpu_cuda11.0/lib/python3.7/site-packages/absl/app.py", line 303, in run _run_main(main, args) File "/home/ubuntu/anaconda3/envs/tensorflow2_latest_p37/gpu_cuda11.0/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main sys.exit(main(argv)) File "../object_detection/models/research/object_detection/model_main_tf2.py", line 88, in main wait_interval=300, timeout=FLAGS.eval_timeout) File "/home/ubuntu/anaconda3/envs/tensorflow2_latest_p37/lib/python3.7/site-packages/object_detection/model_lib_v2.py", line 1135, in eval_continuously global_step=global_step, File "/home/ubuntu/anaconda3/envs/tensorflow2_latest_p37/lib/python3.7/site-packages/object_detection/model_lib_v2.py", line 979, in eager_eval_loop for evaluator in evaluators: TypeError: 'NoneType' object is not iterable. File "/usr/local/lib/python3.7/dist-packages/object_detection/model_lib_v2.py", line 1087, in eval_continuously num_steps: 30000 outputs = self.convolution_op(inputs, self.kernel) We got a byte string separated by newline symbols \n at the output. W0210 01:58:55.900195 16892 deprecation.py:341] From D:\Environments\TensorflowObjectDetectionAPI\lib\site-packages\tensorflow\python\autograph\impl\api.py:465: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: max_dimension: 512 Sign in "tf.keras.backend.set_learning_phase is deprecated and " File "/data/tf-keras-surgeon/src/tfkerassurgeon/surgeon.py", line 152, in operate [[{{node model/conv1_conv/Conv2D}}]] similarity_calculator { The lack of evidence to reject the H0 is OK in the case of my research - how to 'defend' this in the discussion of a scientific paper? global_step=global_step, Yes Hi, Can anyone help I'm getting issues trying to train my ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8 model? Securing Cabinet to wall: better to use two anchors to drywall or one screw into stud? I am closing this for now, but if others have issues after syncing to the commit above, please re-open this. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. learning_rate_base: 0.800000011920929 W0220 23:53:14.021603 140280673650560 deprecation.py:343] 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. File "Tensorflow/models/research/object_detection/model_main_tf2.py", line 115, in I1113 16:36:42.436625 139810192238464 efficientnet_model.py:143] round_filter input=320 output=320 @vighneshbirodkar Yes, I cloned the repo afresh on a new google drive account. /usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:435: UserWarning: tf.keras.backend.set_learning_phase is deprecated and will be removed after 2020-10-11. I'm seeing the same error when running with TensorFlow 2.0.0-beta1. Instructions for updating: Use tf.cast instead. 13 comments dswah commented on Jan 13, 2020 No custom code I1113 16:36:42.104938 139810192238464 efficientnet_model.py:143] round_filter input=112 output=112 weight: 0.00004 W0220 23:53:08.130596 140280673650560 deprecation.py:343] From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version. gamma: 1.5 You signed in with another tab or window. Finxter Feedback from ~1000 Python Developers, https://docs.python.org/3.3/library/stdtypes.html?highlight=range#range, Boolean Operators in Python (and, or, not): Mastering Logical Expressions, [Fixed] ModuleNotFoundError: No module named requests-auth-aws-sigv4, [Fixed] ModuleNotFoundError: No module named requests-async, [Fixed] ModuleNotFoundError: No module named requests-aws4auth, [Fixed] ModuleNotFoundError: No module named requests-aws-sign, [Fixed] ModuleNotFoundError: No module named requests-cache, [Fixed] ModuleNotFoundError: No module named requests-futures, [Fixed] ModuleNotFoundError: No module named requests-file, [Fixed] ModuleNotFoundError: No module named requests-kerberos, [Fixed] ModuleNotFoundError: No module named requests-html, related to various functions and methods of lists, The world is changing exponentially. WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:104: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version. So were trying to add this to the list indexes with a list function. box_coder { train: true INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: None I am using the below code to get the model evaluation: Log while running the evaluation code: image_resizer { Have a question about this project? if self._feature_extractor_for_proposal_features: Making statements based on opinion; back them up with references or personal experience. You can create an iterator from a dataset using iter(dataset), so the following code should work (in TensorFlow 2.0, or with eager execution enabled): Hi @mrry and thank you for the quick response. inplace_batchnorm_update: true [[{{node model/conv1_conv/Conv2D}}]] scale_max: 2.0 File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 258, in _run_main Whether we are using pre-entry into a tuple, list, set, or even a dictionary. } Here we also try to assign values to several variables using a tuple. I0220 23:53:55.001547 140280673650560 model_lib_v2.py:943] A replica probably exhausted all examples. The reason for this is that the interpreter expects variables of certain types in certain places in the code. INFO:tensorflow:Reading unweighted datasets: ['Tensorflow\workspace\annotations\test.record'] File "C:\Users\aclab\anaconda3\envs\thesis\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run I1113 16:36:41.146051 139810192238464 efficientnet_model.py:143] round_filter input=16 output=16 For example, we could print each value in the array: #print every value in array for i in data: print(i) 1.3 1.5 1.6 1.9 2.2 2.5 Please help me with this and I apologize if this question seems silly as I am fairly new to the lstm and tensor flow library. Use tf.data.Dataset.map() W0220 23:53:08.152011 140280673650560 deprecation.py:343] From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version. The main purpose of braces around tuples is . random_scale_crop_and_pad_to_square { Skipping pending examples on other replicas. The defining characteristic of a tuple is the comma separating the values, not the braces, thus a = 1,2,3 creates a tuple, and assigns it to a. Use tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE) instead. What distinguishes top researchers from mediocre ones? return fn(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 1096, in call Another way to form such a list is to use the list.append method: Lets consider a more complex version of the same error. Original config value was 0. You can even write one variable to a list and calculate the sum of this list. truncated_normal_initializer { I've made a follow-up question, if you could take a look that would be great :). The error TypeError: 'int' object is not iterable occurs again. With the latest code, the underlying issue should be logged. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 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. Instructions for updating: By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. }, eval_input_reader: { warnings.warn('tf.keras.backend.set_learning_phase is deprecated and ' You signed in with another tab or window. Hot Network Questions If a cashier forgets to charge me for something, do I have to remind them? coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.75GiB deviceMemoryBandwidth: 298.08GiB/s rev2023.8.21.43589. With the solutions weve provided, you should be able to fix the TypeError: Tensor object is not iterable error and continue working with TensorFlow Estimator. I want to add to it a grade in physical education which I passed perfectly in contrast to math. TypeError: 'NoneType' object is not iterable. Use tf.cast instead. What temperature should pre cooked salmon be heated to? inplace_batchnorm_update: true INFO:tensorflow:Found new checkpoint at Tensorflow\workspace\models\my_ssd_mobnet\ckpt-6 Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing. Training works fine. prediction_dict = self._predict_first_stage(preprocessed_inputs) 0 successful operations. aspect_ratios: 3.0 INFO:tensorflow:Waiting for new checkpoint at /content/drive/MyDrive/Object_detection/tfod/training_demo/models/my_ssd_mobilenet_v2/ WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/object_detection/builders/dataset_builder.py:236: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version. sub_output_nodes = utils.get_node_inbound_nodes(node) Montana, can you provide the original traceback, because even with some formatting, the traceback is hard to read? AND "I am just so excited.". A code that loops using Tensorflow primitives (like for i in tf.range(10)) can be converted into its graph representation without any problem, while a code that creates a python iterator from a dataset object (like you suggested, using iter(dataset)) can't.
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