Code And Files: error: 2022-12-24 01:24:04.858171: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled. 2022-12-24 01:24:06.472059: 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: 0x14fd11150 NotFoundError Traceback (most recent call last) Cell In[24], line 1 ----> 1 hist = model.fit(train, epochs=20, validation_data=val, callbacks=[tensorboard_callback]) File /opt/homebrew/lib/python3.10/site-packages/keras/utils/traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs) 67 filtered_tb = _process_traceback_frames(e.__traceback__) 68 # To get the full stack trace, call: 69 # `tf.debugging.disable_traceback_filtering()` ---> 70 raise e.with_traceback(filtered_tb) from None 71 finally: 72 del filtered_tb File /opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/execute.py:52, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name) 50 try: 51 ctx.ensure_initialized() ---> 52 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, 53 inputs, attrs, num_outputs) 54 except core._NotOkStatusException as e: 55 if name is not None: NotFoundError: Graph execution error: Detected at node 'StatefulPartitionedCall_8' defined at (most recent call last): File "/opt/homebrew/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/opt/homebrew/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/opt/homebrew/lib/python3.10/site-packages/ipykernel_launcher.py", line 17, in <module> app.launch_new_instance() File "/opt/homebrew/lib/python3.10/site-packages/traitlets/config/application.py", line 1041, in launch_instance app.start() File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/kernelapp.py", line 711, in start self.io_loop.start() File "/opt/homebrew/lib/python3.10/site-packages/tornado/platform/asyncio.py", line 215, in start self.asyncio_loop.run_forever() File "/opt/homebrew/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/asyncio/base_events.py", line 603, in run_forever self._run_once() File "/opt/homebrew/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/asyncio/base_events.py", line 1906, in _run_once handle._run() File "/opt/homebrew/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/asyncio/events.py", line 80, in _run self._context.run(self._callback, *self._args) File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/kernelbase.py", line 510, in dispatch_queue await self.process_one() File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/kernelbase.py", line 499, in process_one await dispatch(*args) File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/kernelbase.py", line 406, in dispatch_shell await result File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/kernelbase.py", line 729, in execute_request reply_content = await reply_content File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/ipkernel.py", line 411, in do_execute res = shell.run_cell( File "/opt/homebrew/lib/python3.10/site-packages/ipykernel/zmqshell.py", line 530, in run_cell return super().run_cell(*args, **kwargs) File "/opt/homebrew/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 2940, in run_cell result = self._run_cell( File "/opt/homebrew/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 2995, in _run_cell return runner(coro) File "/opt/homebrew/lib/python3.10/site-packages/IPython/core/async_helpers.py", line 129, in _pseudo_sync_runner coro.send(None) File "/opt/homebrew/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3194, in run_cell_async has_raised = await self.run_ast_nodes(code_ast.body, cell_name, File "/opt/homebrew/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3373, in run_ast_nodes if await self.run_code(code, result, async_=asy): File "/opt/homebrew/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3433, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "/var/folders/b6/68vmtkhx5_z5djknwm2hb7gr0000gn/T/ipykernel_20480/2029832520.py", line 1, in <module> hist = model.fit(train, epochs=20, validation_data=val, callbacks=[tensorboard_callback]) File "/opt/homebrew/lib/python3.10/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler return fn(*args, **kwargs) File "/opt/homebrew/lib/python3.10/site-packages/keras/engine/training.py", line 1650, in fit tmp_logs = self.train_function(iterator) File "/opt/homebrew/lib/python3.10/site-packages/keras/engine/training.py", line 1249, in train_function return step_function(self, iterator) File "/opt/homebrew/lib/python3.10/site-packages/keras/engine/training.py", line 1233, in step_function outputs = model.distribute_strategy.run(run_step, args=(data,)) File "/opt/homebrew/lib/python3.10/site-packages/keras/engine/training.py", line 1222, in run_step outputs = model.train_step(data) File "/opt/homebrew/lib/python3.10/site-packages/keras/engine/training.py", line 1027, in train_step self.optimizer.minimize(loss, self.trainable_variables, tape=tape) File "/opt/homebrew/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 527, in minimize self.apply_gradients(grads_and_vars) File "/opt/homebrew/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1140, in apply_gradients return super().apply_gradients(grads_and_vars, name=name) File "/opt/homebrew/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 634, in apply_gradients iteration = self._internal_apply_gradients(grads_and_vars) File "/opt/homebrew/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1166, in _internal_apply_gradients return tf.__internal__.distribute.interim.maybe_merge_call( File "/opt/homebrew/lib/python3.10/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1216, in _distributed_apply_gradients_fn distribution.extended.update( Only some part of error remaining. Will add in comments