Created
July 2, 2020 14:22
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import scala.collection.JavaConverters._ | |
Nd4j.getRandom().setSeed(1234L) | |
val wInit = Nd4j.rand(5, 7) | |
val testInit = Nd4j.rand(7, 3, 4, 5) | |
// Not permuted. Works | |
val sd1 = SameDiff.create() | |
var w1 = sd1.`var`("w", wInit) | |
val testInputNotPermuted = sd1.constant("test_input_not", testInit) | |
val result1 = sd1.tensorMmul("result", testInputNotPermuted, w1, Array(3), 0) | |
sd1.setLossVariables(result1) | |
val output1 = sd1.output(Map.empty[String, INDArray].asJava, "result").get("result") | |
val grad1 = sd1.calculateGradients(null, "w").get("w") // Grads fine here | |
// Permuted. Fails | |
val sd2 = SameDiff.create() | |
var w2 = sd2.`var`("w", wInit) | |
// Permute outside SameDiff and then back again inside to recover original | |
val testInputPermuted = sd2.constant("test_input_permuted", testInit.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) | |
val result2 = sd2.tensorMmul("result", testInputPermuted, w2, Array(3), 0) | |
sd2.setLossVariables(result2) | |
val output2 = sd2.output(Map.empty[String, INDArray].asJava, "result").get("result") | |
assert(output1 == output2) // Passes | |
// Throws:- | |
// java.lang.NullPointerException: | |
// at org.nd4j.linalg.api.ops.impl.reduce.TensorMmul.doDiff(TensorMmul.java:146) | |
// at org.nd4j.autodiff.functions.DifferentialFunction.diff(DifferentialFunction.java:559) | |
val grad2 = sd2.calculateGradients(null, "w").get("w") |
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