tensorflow.python.framework.errors_impl.InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/

This error occurs when TensorFlow is unable to copy an input tensor from the CPU to the GPU. The error message suggests that the destination tensor on the GPU is not initialized, which could be due to a number of reasons. One possible cause of this error is insufficient memory on the GPU. If the input tensor is too large to fit in the GPU memory, TensorFlow may fail to initialize the destination tensor and throw this error. In this case, you can try reducing the batch size or using a smaller model to reduce the memory requirements. Another possible cause is a mismatch between the data types of the input tensor and the destination tensor. For example, if the input tensor is a float32 but the destination tensor is a float16, TensorFlow may fail to copy the data and throw this error. In this case, you can try converting the data types to match before copying the tensor. Finally, this error can also occur due to a bug in TensorFlow or the underlying hardware drivers. If none of the above solutions work, you may need to update your TensorFlow version or check for any known issues with your hardware configuration.