Use `tf.data.Dataset.from_tensor_slices(string_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64Use `tf.data.Dataset.from_tensor_slices(input_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64(features=tf.train.Features(feat
源代码: # loss of boundary condtions在之前的tensorflow 2.7版本中,只需将unconnected_gradients设置成tf.UnconnectedGradients.ZERO即可满足我的要求。报错信息如下:
File /mnt/d/HPWANG/Projects/PINNs-TF2.20-Linux-R5<
if exists (select * from PPT_TF_Document where TFBH=@tfbh) update PPT_TF_DocumentDISASTER=@disaster,URL=@url where TFBH=@tfbh else insert into PPT_TF_Document
tensorflow.lite.python.convert.ConverterError: <unknown>:0: error: loc("bidirectional_rnn/bw/bw/while"): 'tf.WhileRegionincompatible with result type tensor<0x1x256xf32> at index 7import tensorflow as tfimport tensorflow.
tensorflow.lite.python.convert.ConverterError: <unknown>:0: error: loc("bidirectional_rnn/bw/bw/while"): 'tf.WhileRegionincompatible with result type tensor<0x1x256xf32> at index 7
import tensorflow as tfimport tensorflow