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[Apple M1]: I got No registered 'AddN' OpKernel for 'GPU' devices compatible with node while training my model
Hi! GPU acceleration lacks of M1 GPU support (only with this specific model), getting this message when trying to run a trained model on GPU: NotFoundError: Graph execution error: No registered 'AddN' OpKernel for 'GPU' devices compatible with node {{node model_3/keras_layer_3/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/roberta_pack_inputs/StatefulPartitionedCall/RaggedConcat/ArithmeticOptimizer/AddOpsRewrite_Leaf_0_add_2}} (OpKernel was found, but attributes didn't match) Requested Attributes: N=2, T=DT_INT64, _XlaHasReferenceVars=false, _grappler_ArithmeticOptimizer_AddOpsRewriteStage=true, _device="/job:localhost/replica:0/task:0/device:GPU:0" . Registered: device='XLA_CPU_JIT'; T in [DT_FLOAT, DT_DOUBLE, DT_INT32, DT_UINT8, DT_INT16, 16534343205130372495, DT_COMPLEX128, DT_HALF, DT_UINT32, DT_UINT64, DT_VARIANT] device='GPU'; T in [DT_FLOAT] device='DEFAULT'; T in [DT_INT32] device='CPU'; T in [DT_UINT64] device='CPU'; T in [DT_INT64] device='CPU'; T in [DT_UINT32] device='CPU'; T in [DT_UINT16] device='CPU'; T in [DT_INT16] device='CPU'; T in [DT_UINT8] device='CPU'; T in [DT_INT8] device='CPU'; T in [DT_INT32] device='CPU'; T in [DT_HALF] device='CPU'; T in [DT_BFLOAT16] device='CPU'; T in [DT_FLOAT] device='CPU'; T in [DT_DOUBLE] device='CPU'; T in [DT_COMPLEX64] device='CPU'; T in [DT_COMPLEX128] device='CPU'; T in [DT_VARIANT] [[model_3/keras_layer_3/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/roberta_pack_inputs/StatefulPartitionedCall/RaggedConcat/ArithmeticOptimizer/AddOpsRewrite_Leaf_0_add_2]] [Op:__inference_train_function_300451]
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Aug ’22