zhoujiang

请教分布式训练

1

目前版本是否支持分布式训练呢，能简单介绍一下从哪些方面改进以支持分布式训练吗

请教下如何feature_column处理类似VarLenSparseFeat这种序列特征

2

如何feature_column处理类似VarLenSparseFeat这种序列特征，使用tfrecord的example中只看懂了 SparseFeat、DenseFeat的使用： for i, feat in enumerate(sparse_features): dnn_feature_columns.append(tf.feature_column.embedding_column( tf.feature_column.categorical_column_with_identity(feat, 1000), 4)) linear_feature_columns.append(tf.feature_column.categorical_column_with_identity(feat, 1000)) for feat in dense_features: dnn_feature_columns.append(tf.feature_column.numeric_column(feat)) linear_feature_columns.append(tf.feature_column.numeric_column(feat))

How can I solve this error: KeyError: u'BatchMatMulV2', model: BERT; tensorflow: 1.14.

1

Traceback (most recent call last): File "/usr/local/bin/simple_tensorflow_serving", line 11, in load_entry_point('simple-tensorflow-serving==0.6.6', 'console_scripts', 'simple_tensorflow_serving')() File "/usr/local/lib/python2.7/site-packages/pkg_resources/__init__.py", line 487, in load_entry_point Create path to host static files: static return get_distribution(dist).load_entry_point(group, name) File...