Comments (5)
yundai424
commented on June 13, 2024
2
It would be super helpful if TF team could kindly help releasing spark-tensorflow-connector built with scala 2.12 to maven artifact 🙌 Right now the best workaround seems to be spark-tfrecord but there'll be migration effort across products using it ..
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yiwei00000
commented on June 13, 2024
Spark has released 3.x which built with scala 2.12, but th newest version of Spark-Tensorflow-Connector is built with scala 2.11 which means not compatiable with spark 3.x. Maven repository is still 2.11.
You can build 2.12 by yourself!!!
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yiwei00000
commented on June 13, 2024
Spark has released 3.x which built with scala 2.12, but th newest version of Spark-Tensorflow-Connector is built with scala 2.11 which means not compatiable with spark 3.x. Maven repository is still 2.11.
Also, you use spark-tfrecord https://github.com/linkedin/spark-tfrecord, that support scala 2.12.
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dennisobrien
commented on June 13, 2024
It would be great to have an example of how to build this for Spark 3.x and Tensorflow 2.x
I tried a number of combinations with no success. I can build the jar, but it writes an empty TFRecord file.
If others have successfully built the jar for Spark 3.x and Tensorflow 2.x I'd love to hear the details.
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wuxianxingkong
commented on June 13, 2024
@dennisobrien Hi, try this: https://github.com/wuxianxingkong/spark-tfrecord (Built with spark 3.1.1 and scala 2.12)
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Related Issues (20)
- 'JavaPackage' object is not callable HOT 1
- About spark-tensorflow-distributor---I have the same problem as you. When I use a spark cluster with two or more nodes, the algorithm needs the same time as if I have only one node. I don't understand why. Please, someone answer this doubt
- Does this connector work with TF 2.x? HOT 4
- Error when deserializing tfrecord's in TF 2.x: Only integers, slices (`:`), ellipsis (`...`), tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid indices
- Failed to build spark-tensorflow-connector_2.12 HOT 3
- Functionality to save the trained model HOT 4
- Spark TensorFlow Distributor: Spark custom resource scheduling - when and how?
- Get error when I run spark-tensorflow-connector example... HOT 1
- Cannot convert field to unsupported data type StructType([StructField("user_flush_num", ArrayType(IntegerType(), True)),StructField("field2", ArrayType(IntegerType(), True))]) HOT 2
- Task failed while writing rows HOT 2
- spark-tensorflow-distributor: RAM overflow when running ResNet152 HOT 1
- ByteType not supported, while IntegerType is too space-consuming
- Is it possible to use the spark tensorflow distributor with Parameter server strategy?
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- Failing to save the model pickle. and how to check for the predictions? HOT 1
- java.lang.NullPointerException when save as TFRecords
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