I was doing this tutorial: Sign Language Detection using ACTION RECOGNITION with Python And I got all the way to Part 6: Preprocess Data and Create Labels and Features
The issue is this line of code:
from tensorflow.keras.utils import to_categorical
Giving me these errors:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Input In [56], in <cell line: 2>()
1 from sklearn.model_selection import train_test_split
----> 2 from tensorflow.keras.utils import to_categorical
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/__init__.py:37, in <module>
35 del estimator_api
36 except (ImportError, AttributeError):
---> 37 print('tf.estimator package not installed.')
39 from tensorflow._api.v1 import app
40 from tensorflow._api.v1 import bitwise
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/__init__.py:42, in <module>
29 import sys
30 import traceback
32 # TODO(drpng): write up instructions for editing this file in a doc and point to
33 # the doc instead.
34 # If you want to edit this file to expose modules in public tensorflow API, you
35 # need to follow these steps:
36 # 1. Consult with tensorflow team and get approval for adding a new API to the
37 # public interface.
38 # 2. Document the module in the gen_docs_combined.py.
39 # 3. Import the module in the main tensorflow namespace by adding an import
40 # statement in this file.
41 # 4. Sanitize the entry point by making sure that your module does not expose
---> 42 # transitively imported modules used for implementation, such as os, sys.
43
44 # go/tf-wildcard-import
45 # pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top
47 import numpy as np
49 from tensorflow.python import pywrap_tensorflow
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/__init__.py:21, in <module>
15 """`tf.data.Dataset` API for input pipelines.
16
17 See [Importing Data](https://tensorflow.org/guide/data) for an overview.
18 """
20 # pylint: disable=unused-import
---> 21 from tensorflow.python.data import experimental
22 from tensorflow.python.data.ops.dataset_ops import AUTOTUNE
23 from tensorflow.python.data.ops.dataset_ops import Dataset
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/experimental/__init__.py:96, in <module>
15 """Experimental API for building input pipelines.
16
17 This module contains experimental `Dataset` sources and transformations that can
(...)
92 @@UNKNOWN_CARDINALITY
93 """
95 # pylint: disable=unused-import
---> 96 from tensorflow.python.data.experimental import service
97 from tensorflow.python.data.experimental.ops.batching import dense_to_ragged_batch
98 from tensorflow.python.data.experimental.ops.batching import dense_to_sparse_batch
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/experimental/service/__init__.py:419, in <module>
1 # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
13 # limitations under the License.
14 # ==============================================================================
15 """API for using the tf.data service.
16
17 This module contains:
(...)
416 job of ParameterServerStrategy).
417 """
--> 419 from tensorflow.python.data.experimental.ops.data_service_ops import distribute
420 from tensorflow.python.data.experimental.ops.data_service_ops import from_dataset_id
421 from tensorflow.python.data.experimental.ops.data_service_ops import register_dataset
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/experimental/ops/data_service_ops.py:24, in <module>
22 from tensorflow.python import tf2
23 from tensorflow.python.compat import compat
---> 24 from tensorflow.python.data.experimental.ops import compression_ops
25 from tensorflow.python.data.experimental.service import _pywrap_server_lib
26 from tensorflow.python.data.experimental.service import _pywrap_utils
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/experimental/ops/compression_ops.py:16, in <module>
1 # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
13 # limitations under the License.
14 # ==============================================================================
15 """Ops for compressing and uncompressing dataset elements."""
---> 16 from tensorflow.python.data.util import structure
17 from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops
20 def compress(element):
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/util/structure.py:23, in <module>
20 import six
21 import wrapt
---> 23 from tensorflow.python.data.util import nest
24 from tensorflow.python.framework import composite_tensor
25 from tensorflow.python.framework import ops
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/data/util/nest.py:36, in <module>
16 """## Functions for working with arbitrarily nested sequences of elements.
17
18 NOTE(mrry): This fork of the `tensorflow.python.util.nest` module
(...)
31 arrays.
32 """
34 import six as _six
---> 36 from tensorflow.python.framework import sparse_tensor as _sparse_tensor
37 from tensorflow.python.util import _pywrap_utils
38 from tensorflow.python.util import nest
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/framework/sparse_tensor.py:24, in <module>
22 from tensorflow.python import tf2
23 from tensorflow.python.framework import composite_tensor
---> 24 from tensorflow.python.framework import constant_op
25 from tensorflow.python.framework import dtypes
26 from tensorflow.python.framework import ops
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/framework/constant_op.py:25, in <module>
23 from tensorflow.core.framework import types_pb2
24 from tensorflow.python.eager import context
---> 25 from tensorflow.python.eager import execute
26 from tensorflow.python.framework import dtypes
27 from tensorflow.python.framework import op_callbacks
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/eager/execute.py:23, in <module>
21 from tensorflow.python import pywrap_tfe
22 from tensorflow.python.eager import core
---> 23 from tensorflow.python.framework import dtypes
24 from tensorflow.python.framework import ops
25 from tensorflow.python.framework import tensor_shape
File /opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/framework/dtypes.py:34, in <module>
31 from tensorflow.python.types import trace
32 from tensorflow.core.function import trace_type
---> 34 _np_bfloat16 = _pywrap_bfloat16.TF_bfloat16_type()
37 class DTypeMeta(type(_dtypes.DType), abc.ABCMeta):
38 pass
TypeError: Unable to convert function return value to a Python type! The signature was
() -> handle
This is on a Mac M1, using:
conda list tensorflow
# packages in environment at /opt/anaconda3:
#
# Name Version Build Channel
tensorflow-deps 2.8.0 0 apple
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-macos 2.10.0 pypi_0 pypi
tensorflow-metal 0.6.0 pypi_0 pypi
and
conda list numpy
# packages in environment at /opt/anaconda3:
#
# Name Version Build Channel
numpy 1.21.6 pypi_0 pypi
numpy-base 1.21.5 py39hadd41eb_3
numpydoc 1.2 pyhd3eb1b0_0
I made sure to download tensorflow for m1 arm, but I could be missing something. What do I do to fix this?