NotImplementedError: Cannot convert a symbolic Tensor (strided_slice:0) to a numpy array.

[aniketbote]

Prerequisites

Please answer the following questions for yourself before submitting an issue.

• I am using the latest TensorFlow Model Garden release and TensorFlow 2.
• I am reporting the issue to the correct repository. (Model Garden research directory)
• I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/blob/master/research/object_detection/model_main_tf2.py

2. Describe the bug

I am trying to train object detection model for custom data using tutorial on link. I tested the for environment faults using https://github.com/tensorflow/models/blob/master/research/object_detection/builders/model_builder_tf2_test.py. All test passed. But when I put it for training the models gives out error.
Logs:

2021-02-05 14:26:00.620416: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-02-05 14:26:03.557625: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-02-05 14:26:03.790381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0002:00:00.0 name: Tesla M60 computeCapability: 5.2
coreClock: 1.1775GHz coreCount: 16 deviceMemorySize: 7.92GiB deviceMemoryBandwidth: 149.31GiB/s
2021-02-05 14:26:03.796912: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-02-05 14:26:03.805410: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-02-05 14:26:03.813387: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-02-05 14:26:03.817933: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-02-05 14:26:03.827291: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-02-05 14:26:03.834728: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-02-05 14:26:03.850086: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-02-05 14:26:03.857292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2021-02-05 14:26:03.860948: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2021-02-05 14:26:03.875535: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x80ec5ff940 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-02-05 14:26:03.880482: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2021-02-05 14:26:03.885168: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0002:00:00.0 name: Tesla M60 computeCapability: 5.2
coreClock: 1.1775GHz coreCount: 16 deviceMemorySize: 7.92GiB deviceMemoryBandwidth: 149.31GiB/s
2021-02-05 14:26:03.891972: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-02-05 14:26:03.895720: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-02-05 14:26:03.899501: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-02-05 14:26:03.904606: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-02-05 14:26:03.908422: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-02-05 14:26:03.912343: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-02-05 14:26:03.916413: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-02-05 14:26:03.924000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2021-02-05 14:26:04.700603: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength
1 edge matrix:
2021-02-05 14:26:04.704509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0
2021-02-05 14:26:04.706737: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N
2021-02-05 14:26:04.726496: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7048 MB memory) -> physical GPU (device: 0, name: Tesla M60, pci bus id: 0002:00:00.0, compute capability: 5.2)
2021-02-05 14:26:04.736932: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x810d9b6950 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2021-02-05 14:26:04.741982: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Tesla M60, Compute Capability 5.2
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:GPU:0',)
I0205 14:26:04.749317  8188 mirrored_strategy.py:500] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:GPU:0',)
INFO:tensorflow:Maybe overwriting train_steps: None
I0205 14:26:04.755326  8188 config_util.py:552] Maybe overwriting train_steps: None
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0205 14:26:04.755326  8188 config_util.py:552] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Reading unweighted datasets: ['E:/DS_2020_Wildlife/Multi_Class_Classification/Tensorflow/workspace/annotations/train.record']
I0205 14:26:04.923312  8188 dataset_builder.py:163] Reading unweighted datasets: ['E:/DS_2020_Wildlife/Multi_Class_Classification/Tensorflow/workspace/annotations/train.record']
INFO:tensorflow:Reading record datasets for input file: ['E:/DS_2020_Wildlife/Multi_Class_Classification/Tensorflow/workspace/annotations/train.record']
I0205 14:26:04.926311  8188 dataset_builder.py:80] Reading record datasets for input file: ['E:/DS_2020_Wildlife/Multi_Class_Classification/Tensorflow/workspace/annotations/train.record']
INFO:tensorflow:Number of filenames to read: 1
I0205 14:26:04.926311  8188 dataset_builder.py:81] Number of filenames to read: 1
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
W0205 14:26:04.926311  8188 dataset_builder.py:87] num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\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.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.
W0205 14:26:04.928313  8188 deprecation.py:317] From E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\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.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.
WARNING:tensorflow:From E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-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.
Instructions for updating:
Use `tf.data.Dataset.map()
W0205 14:26:04.952313  8188 deprecation.py:317] From E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-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.
Instructions for updating:
Use `tf.data.Dataset.map()
Traceback (most recent call last):
  File "model_main_tf2.py", line 115, in <module>
    tf.compat.v1.app.run()
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\platform\app.py", line 40,
in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\absl\app.py", line 300, in run
    _run_main(main, args)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\absl\app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "model_main_tf2.py", line 106, in main
    model_lib_v2.train_loop(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\model_lib_v2.py", line 569,
in train_loop
    load_fine_tune_checkpoint(detection_model,
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\model_lib_v2.py", line 352,
in load_fine_tune_checkpoint
    features, labels = iter(input_dataset).next()
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\distribute\input_lib.py", line 858, in __iter__
    iterators, element_spec = _create_iterators_per_worker_with_input_context(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\distribute\input_lib.py", line 1401, in _create_iterators_per_worker_with_input_context
    dataset = dataset_fn(ctx)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\model_lib_v2.py", line 521,
in train_dataset_fn
    train_input = inputs.train_input(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\inputs.py", line 893, in train_input
    dataset = INPUT_BUILDER_UTIL_MAP['dataset_build'](
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\builders\dataset_builder.py", line 251, in build
    dataset = dataset_map_fn(dataset, decoder.decode, batch_size,
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\builders\dataset_builder.py", line 236, in dataset_map_fn
    dataset = dataset.map_with_legacy_function(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\util\deprecation.py", line
324, in new_func
    return func(*args, **kwargs)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2402, in map_with_legacy_function
    ParallelMapDataset(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 4016, in __init__
    self._map_func = StructuredFunctionWrapper(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 3196, in __init__
    self._function.add_to_graph(ops.get_default_graph())
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\framework\function.py", line 544, in add_to_graph
    self._create_definition_if_needed()
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\framework\function.py", line 376, in _create_definition_if_needed
    self._create_definition_if_needed_impl()
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\framework\function.py", line 398, in _create_definition_if_needed_impl
    temp_graph = func_graph_from_py_func(
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\framework\function.py", line 969, in func_graph_from_py_func
    outputs = func(*func_graph.inputs)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 3188, in wrapper_fn
    ret = _wrapper_helper(*args)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 3156, in _wrapper_helper
    ret = autograph.tf_convert(func, ag_ctx)(*nested_args)
  File "E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\autograph\impl\api.py", line 265, in wrapper
    raise e.ag_error_metadata.to_exception(e)
NotImplementedError: in user code:

    E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\object_detection\data_decoders\tf_example_decoder.py:524 default_groundtruth_weights  *
        [tf.shape(tensor_dict[fields.InputDataFields.groundtruth_boxes])[0]],
    E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\ops\array_ops.py:2967 ones  **
        output = _constant_if_small(one, shape, dtype, name)
    E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\ops\array_ops.py:2662 _constant_if_small
        if np.prod(shape) < 1000:
    <__array_function__ internals>:5 prod

    E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\numpy\core\fromnumeric.py:3030 prod
        return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out,
    E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\numpy\core\fromnumeric.py:87 _wrapreduction
        return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
    E:\DS_2020_Wildlife\Multi_Class_Classification\Tensorflow\venv\lib\site-packages\tensorflow\python\framework\ops.py:748 __array__
        raise NotImplementedError("Cannot convert a symbolic Tensor ({}) to a numpy"

    NotImplementedError: Cannot convert a symbolic Tensor (strided_slice:0) to a numpy array.

6. System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows Sever 2012
• TensorFlow installed from (source or binary): PIP
• TensorFlow version (use command below): 2.2
• Python version: 3.8
• CUDA/cuDNN version: 10.1
• GPU model and memory: Tesla M60

[dademiller360]

System information
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Archlinux
TensorFlow installed from (source or binary): PIP
TensorFlow version (use command below): 2.4.1
Python version: 3.8
CUDA/cuDNN version: cudaToolkit 10.1 cuDnn 7.6.5
GPU model and memory: Quadro M2000

I have the same error if I use numpy 1.20.0
NotImplementedError: Cannot convert a symbolic Tensor (cond_2/strided_slice:0) to a numpy array.

if I use numpy 1.19.5 I get
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

Tried with TF 2.2.2 as well in both cases same errors

[dademiller360]

fixed using python 3.6

[aniketbote]

fixed using python 3.6

Thank you @dademiller360 changing the Python version from 3.8 to 3.6 fixed the issue.
@saikumarchalla Can you clarify if this is intended behavior or a bug? If it's not a bug you can close the issue.

[CloneHub94]

I have the same problem but when I modify from Python 3.8.5 to 3.6 I get the following error:

Traceback (most recent call last):
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "model_main_tf2.py", line 31, in
import tensorflow.compat.v2 as tf
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_init_.py", line 41, in
from tensorflow.python.tools import module_util as module_util
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python_init.py", line 39, in
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 83, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed: The specified module could not be found.

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.

Anybody know how to fix this issue?

[AKuperus7]

Same issue, but when I switch to Python 3.6 and try to install the Tensorflow Object Detection API using the research/object_detection/packages/tf2/setup.py file, I get this error:

Traceback (most recent call last):
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 152, in save_modules
    yield saved
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 193, in setup_context
    yield
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 254, in run_setup
    _execfile(setup_script, ns)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 43, in _execfile
    exec(code, globals, locals)
  File "C:\Users\tinyr\AppData\Local\Temp\easy_install-3subbki0\pandas-1.2.2\setup.py", line 761, in <module>
  File "C:\Users\tinyr\AppData\Local\Temp\easy_install-3subbki0\pandas-1.2.2\setup.py", line 731, in setup_package
  File "C:\Users\tinyr\AppData\Local\Temp\easy_install-3subbki0\pandas-1.2.2\setup.py", line 505, in maybe_cythonize
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\Cython\Build\Dependencies.py", line 1079, in cythonize
    nthreads, initializer=_init_multiprocessing_helper)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\context.py", line 119, in Pool
    context=self.get_context())
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\pool.py", line 174, in __init__
    self._repopulate_pool()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\pool.py", line 239, in _repopulate_pool
    w.start()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\popen_spawn_win32.py", line 43, in __init__
    with open(wfd, 'wb', closefd=True) as to_child:
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 421, in _open
    if mode not in ('r', 'rt', 'rb', 'rU', 'U') and not self._ok(path):
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 432, in _ok
    realpath = os.path.normcase(os.path.realpath(path))
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\ntpath.py", line 548, in abspath
    return normpath(_getfullpathname(path))
TypeError: _getfullpathname: path should be string, bytes or os.PathLike, not int

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "object_detection/packages/tf2/setup.py", line 43, in <module>
    python_requires='>3.6',
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\__init__.py", line 153, in setup
    return distutils.core.setup(**attrs)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\distutils\core.py", line 148, in setup
    dist.run_commands()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\distutils\dist.py", line 955, in run_commands
    self.run_command(cmd)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\distutils\dist.py", line 974, in run_command
    cmd_obj.run()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\install.py", line 67, in run
    self.do_egg_install()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\install.py", line 117, in do_egg_install
    cmd.run(show_deprecation=False)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 408, in run
    self.easy_install(spec, not self.no_deps)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 650, in easy_install
    return self.install_item(None, spec, tmpdir, deps, True)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 697, in install_item
    self.process_distribution(spec, dist, deps)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 745, in process_distribution
    [requirement], self.local_index, self.easy_install
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\pkg_resources\__init__.py", line 768, in resolve
    replace_conflicting=replace_conflicting
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\pkg_resources\__init__.py", line 1051, in best_match
    return self.obtain(req, installer)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\pkg_resources\__init__.py", line 1063, in obtain
    return installer(requirement)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 669, in easy_install
    return self.install_item(spec, dist.location, tmpdir, deps)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 695, in install_item
    dists = self.install_eggs(spec, download, tmpdir)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 890, in install_eggs
    return self.build_and_install(setup_script, setup_base)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 1162, in build_and_install
    self.run_setup(setup_script, setup_base, args)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\command\easy_install.py", line 1146, in run_setup
    run_setup(setup_script, args)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 257, in run_setup
    raise
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\contextlib.py", line 99, in __exit__
    self.gen.throw(type, value, traceback)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 193, in setup_context
    yield
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\contextlib.py", line 99, in __exit__
    self.gen.throw(type, value, traceback)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 164, in save_modules
    saved_exc.resume()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 139, in resume
    raise exc.with_traceback(self._tb)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 152, in save_modules
    yield saved
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 193, in setup_context
    yield
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 254, in run_setup
    _execfile(setup_script, ns)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 43, in _execfile
    exec(code, globals, locals)
  File "C:\Users\tinyr\AppData\Local\Temp\easy_install-3subbki0\pandas-1.2.2\setup.py", line 761, in <module>
  File "C:\Users\tinyr\AppData\Local\Temp\easy_install-3subbki0\pandas-1.2.2\setup.py", line 731, in setup_package
  File "C:\Users\tinyr\AppData\Local\Temp\easy_install-3subbki0\pandas-1.2.2\setup.py", line 505, in maybe_cythonize
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\Cython\Build\Dependencies.py", line 1079, in cythonize
    nthreads, initializer=_init_multiprocessing_helper)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\context.py", line 119, in Pool
    context=self.get_context())
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\pool.py", line 174, in __init__
    self._repopulate_pool()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\pool.py", line 239, in _repopulate_pool
    w.start()
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\multiprocessing\popen_spawn_win32.py", line 43, in __init__
    with open(wfd, 'wb', closefd=True) as to_child:
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 421, in _open
    if mode not in ('r', 'rt', 'rb', 'rU', 'U') and not self._ok(path):
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\site-packages\setuptools\sandbox.py", line 432, in _ok
    realpath = os.path.normcase(os.path.realpath(path))
  File "C:\Users\tinyr\anaconda3\envs\squirrel\lib\ntpath.py", line 548, in abspath
    return normpath(_getfullpathname(path))
TypeError: _getfullpathname: path should be string, bytes or os.PathLike, not int

[CloneHub94]

In the meantime I solve it by using colab for my object detection. But I would like to be able to use my pc as well

[aniketbote]

I have the same problem but when I modify from Python 3.8.5 to 3.6 I get the following error:

Traceback (most recent call last):
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "model_main_tf2.py", line 31, in
import tensorflow.compat.v2 as tf
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow__init__.py", line 41, in
from tensorflow.python.tools import module_util as module_util File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python__init_.py", line 39, in
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 83, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "D:\Maurice_Doc\AI\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed: The specified module could not be found.

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.

Anybody know how to fix this issue?

Have you installed tensorflow correctly? This may be due to C++ executables not present in your system.

[CloneHub94]

These are the results that I get when I lookup my tensorflow installation. Is there something that is missing?