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Java bindings for TensorFlow
Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template **System information**...
implicit val session = TestSession.createTestSession(TestSession.Mode.EAGER) // EagerSession.create() implicit val tf = session.getTF // Ops.create(session).withName("test") implicit val scope = **tf.scope()* val weightInputGate = tf.variable(getWeightMatrix(weightGatesDims, scope)) the console error : Op VariableV2...
HI : now I use BlockLSTM for build lstm layer ,but I don't know how to update the lstm weight parameters , if need use blockLSTMGrad or something to do...
Could we supply the method that convert spark sql dataframe to tensorflow-java ByteNdArray object ?
Hi : Now I etl the raw data use spark sql generate the dataframe , I want to convert the spark dataframe object to ByteNdArray object for tensorflow model input
---- This is an issue [posted](https://github.com/tensorflow/java/issues/387#issuecomment-1066628248) by @maziyarpanahi ---- Hi @karllessard We are experiencing the same issue however in the `0.4.0` release (after this fix https://github.com/tensorflow/java/pull/393 was included). Previously in...
I tried testing **spark-nlp** package on **aarch64** architectures but it is generating errors and it is successfully passing for x86. On discussion with the maintainer of spark-nlp, found out there...
TF Python serializes numpy style arrays (e.g. Java NdArray) in the format `'normalizer': array([[0.2, 0.2], [0.1, 0.3]], dtype=float32)'`. This is not standard JSON, and tools, like GSON, throw a `MalformedJsonException`...
HI : for some etl the data, we need thses method ,but in tensorflow-java ,I can't find them
dependency: ``` org.tensorflow tensorflow-core-platform 0.4.1 ``` --------------------------- code: ```scala import org.{tensorflow=>tf} val result = tf.SavedModelBundle .load("D:\\model\\categorization","serve") .session() .runner() .feed("serving_default_inputs:0", tf.create(List("....", "...."))) .fetch("StatefulPartitionedCall:0") .run() .get(0); ``` However, no any create method...
@see lines try to link the whole line to the name, it tries to lookup these URLs as names in the API and fails: `@see name description` https://www.tensorflow.org/jvm/api_docs/java/org/tensorflow/DeviceSpec