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From GitBox <...@apache.org>
Subject [GitHub] Chancebair opened a new issue #14045: Flaky Test: Clojure CPU org.apache.clojure-mxnet.operator-test
Date Fri, 01 Feb 2019 14:00:10 GMT
Chancebair opened a new issue #14045: Flaky Test: Clojure CPU org.apache.clojure-mxnet.operator-test
URL: https://github.com/apache/incubator-mxnet/issues/14045
 
 
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/master/281/pipeline
   
   ```
   Testing org.apache.clojure-mxnet.operator-test
   
   FAIL in (test-concat) (operator_test.clj:72)
   expected: (= out1 ret)
     actual: (not (= #object[org.apache.mxnet.NDArray 0x30bac2a0 "[\n [2.6332547E-28,4.5834E-41]\n
[1.12572034E24,1.5341626E28]\n [2.9223691E-27,4.5834E-41]\n [1.12572034E24,4.4632523E30]\n
[NaN,4.5828E-41]\n]\n<NDArray (5,2) cpu(0) float32>"] #object[org.apache.mxnet.NDArray
0x189d74e4 "[\n [2.6332547E-28,4.5834E-41]\n [1.12572034E24,1.5341626E28]\n [2.9223691E-27,4.5834E-41]\n
[1.12572034E24,4.4632523E30]\n [NaN,4.5828E-41]\n]\n<NDArray (5,2) cpu(0) float32>"]))
   
   FAIL in (test-concat) (operator_test.clj:80)
   expected: (= grads (mapv (fn* [p1__8963#] (ndarray/+ p1__8963# 1)) np-grads))
     actual: (not (= (#object[org.apache.mxnet.NDArray 0x3a5537e6 "[\n [1.0,1.0]\n [1.12572034E24,1.5341626E28]\n]\n<NDArray
(2,2) cpu(0) float32>"] #object[org.apache.mxnet.NDArray 0x51574c53 "[\n [1.0,1.0]\n [1.12572034E24,4.4632523E30]\n
[NaN,1.0]\n]\n<NDArray (3,2) cpu(0) float32>"]) [#object[org.apache.mxnet.NDArray 0x5009b104
"[\n [1.0,1.0]\n [1.12572034E24,1.5341626E28]\n]\n<NDArray (2,2) cpu(0) float32>"] #object[org.apache.mxnet.NDArray
0x17de104d "[\n [1.0,1.0]\n [1.12572034E24,4.4632523E30]\n [NaN,1.0]\n]\n<NDArray (3,2)
cpu(0) float32>"]]))
   
   Embedded symbol: {
     "nodes": [
       {
         "op": "null", 
         "name": "data", 
         "inputs": []
       }, 
       {
         "op": "null", 
         "name": "embed_weight", 
         "attrs": {
           "input_dim": "10", 
           "output_dim": "4"
         }, 
         "inputs": []
       }, 
       {
         "op": "Embedding", 
         "name": "embed", 
         "attrs": {
           "input_dim": "10", 
           "output_dim": "4"
         }, 
         "inputs": [[0, 0, 0], [1, 0, 0]]
       }
     ], 
     "arg_nodes": [0, 1], 
     "node_row_ptr": [0, 1, 2, 3], 
     "heads": [[2, 0, 0]], 
     "attrs": {"mxnet_version": ["int", 10500]}
   }
   ```

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