Still cannot get tensor flow to work. Followed Apple's instructions. I get a failure at "import tensorflow as tf". Each successive update to this library causes it to fail at an earlier point. I'm honestly shocked at how bad this is - I don't think I've ever recommended this before but just take the website down until you are ready to launch. Traceback (most recent call last):   File "<stdin>", line 1, in <module>   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/__init__.py", line 37, in <module>     from tensorflow.python.tools import module_util as _module_util   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/__init__.py", line 42, in <module>     from tensorflow.python import data   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/__init__.py", line 21, in <module>     from tensorflow.python.data import experimental   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/experimental/__init__.py", line 96, in <module>     from tensorflow.python.data.experimental import service   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/experimental/service/__init__.py", line 419, in <module>     from tensorflow.python.data.experimental.ops.data_service_ops import distribute   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/experimental/ops/data_service_ops.py", line 22, in <module>     from tensorflow.python.data.experimental.ops import compression_ops   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/experimental/ops/compression_ops.py", line 16, in <module>     from tensorflow.python.data.util import structure   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/util/structure.py", line 22, in <module>     from tensorflow.python.data.util import nest   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/data/util/nest.py", line 34, in <module>     from tensorflow.python.framework import sparse_tensor as _sparse_tensor   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/framework/sparse_tensor.py", line 24, in <module>     from tensorflow.python.framework import constant_op   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/framework/constant_op.py", line 25, in <module>     from tensorflow.python.eager import execute   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/eager/execute.py", line 21, in <module>     from tensorflow.python.framework import dtypes   File "/Users/<user>/miniconda/lib/python3.10/site-packages/tensorflow/python/framework/dtypes.py", line 34, in <module>     _np_bfloat16 = _pywrap_bfloat16.TF_bfloat16_type() TypeError: Unable to convert function return value to a Python type! The signature was () -> handle

Followed instructions and example here.. Error on execution abbreviated: 2022-12-26 18:43:15.162697: W tensorflow/tsl/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz Epoch 1/5 /Users/<username>/venv-metal/lib/python3.8/site-packages/keras/backend.py:5585: UserWarning: "`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a Softmax activation and thus does not represent logits. Was this intended?   output, from_logits = _get_logits( 2022-12-26 18:43:21.329698: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled. 2022-12-26 18:43:26.638422: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x131ea6e20 Traceback (most recent call last):   File "<stdin>", line 1, in <module>   File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler     raise e.with_traceback(filtered_tb) from None   File "/Users/<username>/venv-metal/lib/python3.8/site-packages/tensorflow/python/eager/execute.py", line 52, in quick_execute     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, tensorflow.python.framework.errors_impl.NotFoundError: Graph execution error: Detected at node 'StatefulPartitionedCall_212' defined at (most recent call last):     File "<stdin>", line 1, in <module>     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler       return fn(*args, **kwargs)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1650, in fit       tmp_logs = self.train_function(iterator)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1249, in train_function       return step_function(self, iterator)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1233, in step_function       outputs = model.distribute_strategy.run(run_step, args=(data,))     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1222, in run_step       outputs = model.train_step(data)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1027, in train_step       self.optimizer.minimize(loss, self.trainable_variables, tape=tape)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 527, in minimize       self.apply_gradients(grads_and_vars)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1140, in apply_gradients       return super().apply_gradients(grads_and_vars, name=name)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 634, in apply_gradients       iteration = self._internal_apply_gradients(grads_and_vars)     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1166, in _internal_apply_gradients       return tf.__internal__.distribute.interim.maybe_merge_call(     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1216, in _distributed_apply_gradients_fn       distribution.extended.update(     File "/Users/<username>/venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1211, in apply_grad_to_update_var       return self._update_step_xla(grad, var, id(self._var_key(var))) Node: 'StatefulPartitionedCall_212' could not find registered platform with id: 0x131ea6e20 [[{{node StatefulPartitionedCall_212}}]] [Op:__inference_train_function_23355] Note that in the past I've used tensorflow-metal regularly (and successfully) since it was first a GitHub repo . This is very much a new issue. Very verbose error