Outputs = model.distribute_n(run_step, args=(data,))įile "Python310\lib\site-packages\keras\engine\training.py", line 1000, in run_stepįile "Python310\lib\site-packages\keras\engine\training.py", line 864, in train_step _impl.UnimplementedError: Graph execution error:ĭetected at node 'UnsortedSegmentSum_1' defined at (most recent call last):įile "Python310\lib\site-packages\keras\utils\traceback_utils.py", line 64, in error_handlerįile "Python310\lib\site-packages\keras\engine\training.py", line 1384, in fitįile "Python310\lib\site-packages\keras\engine\training.py", line 1021, in train_functionįile "Python310\lib\site-packages\keras\engine\training.py", line 1010, in step_function Tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, Raise e.with_traceback(filtered_tb) from Noneįile "Python310\lib\site-packages\tensorflow\python\eager\execute.py", line 54, in quick_execute > pile(loss="CategoricalCrossentropy", metrics="AUC")įile "Python310\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler > model = tf.(inputs=layer, outputs=layer) To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 06:55:55.047679: I tensorflow/core/platform/cpu_feature_: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 Type "help", "copyright", "credits" or "license" for more information.
0 kommentar(er)
