haojin2 edited a comment on issue #14415: [Test Failure] Clojure Integration URL: https://github.com/apache/incubator-mxnet/issues/14415#issuecomment-544214694 @gigasquid Seems like this test is failing again now but caused by a different reason here: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-16537/11/pipeline ``` lein test imclassification.train-mnist-test Starting Training of MNIST .... Running with context devices of [#object[org.apache.mxnet.Context 0x5e67a490 cpu(0)]] [15:44:21] src/io/iter_mnist.cc:110: MNISTIter: load 60000 images, shuffle=1, shape=(10,784) [15:44:22] src/io/iter_mnist.cc:110: MNISTIter: load 10000 images, shuffle=1, shape=(10,784) WARN org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis WARN org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis WARN org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis WARN org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis WARN org.apache.mxnet.DataDesc: Found Undefined Layout, will use default index 0 for batch axis INFO org.apache.mxnet.module.BaseModule: Epoch[0] Train-accuracy=0.13231666 INFO org.apache.mxnet.module.BaseModule: Epoch[0] Time cost=7499 INFO org.apache.mxnet.module.BaseModule: Epoch[0] Validation-accuracy=0.338 INFO org.apache.mxnet.module.BaseModule: Epoch[1] Train-accuracy=0.71955 INFO org.apache.mxnet.module.BaseModule: Epoch[1] Time cost=6314 INFO org.apache.mxnet.module.BaseModule: Epoch[1] Validation-accuracy=0.8542 INFO org.apache.mxnet.module.Module: Saved checkpoint to target/test-0002.params Finish fit lein test :only imclassification.train-mnist-test/mnist-two-epochs-test FAIL in (mnist-two-epochs-test) (train_mnist_test.clj:38) expected: (= (file-to-filtered-seq "test/test-symbol.json.ref") (file-to-filtered-seq "target/test-symbol.json")) actual: (not (= ("{" " \"nodes\": [" " {" " \"op\": \"null\", " " \"name\": \"data\", " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc1_weight\", " " \"attrs\": {\"num_hidden\": \"128\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc1_bias\", " " \"attrs\": {\"num_hidden\": \"128\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"FullyConnected\", " " \"name\": \"fc1\", " " \"attrs\": {\"num_hidden\": \"128\"}, " " \"inputs\": [[0, 0, 0], [1, 0, 0], [2, 0, 0]]" " }, " " {" " \"op\": \"Activation\", " " \"name\": \"relu1\", " " \"attrs\": {\"act_type\": \"relu\"}, " " \"inputs\": [[3, 0, 0]]" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc2_weight\", " " \"attrs\": {\"num_hidden\": \"64\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc2_bias\", " " \"attrs\": {\"num_hidden\": \"64\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"FullyConnected\", " " \"name\": \"fc2\", " " \"attrs\": {\"num_hidden\": \"64\"}, " " \"inputs\": [[4, 0, 0], [5, 0, 0], [6, 0, 0]]" " }, " " {" " \"op\": \"Activation\", " " \"name\": \"relu2\", " " \"attrs\": {\"act_type\": \"relu\"}, " " \"inputs\": [[7, 0, 0]]" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc3_weight\", " " \"attrs\": {\"num_hidden\": \"10\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc3_bias\", " " \"attrs\": {\"num_hidden\": \"10\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"FullyConnected\", " " \"name\": \"fc3\", " " \"attrs\": {\"num_hidden\": \"10\"}, " " \"inputs\": [[8, 0, 0], [9, 0, 0], [10, 0, 0]]" " }, " " {" " \"op\": \"null\", " " \"name\": \"softmax_label\", " " \"inputs\": []" " }, " " {" " \"op\": \"SoftmaxOutput\", " " \"name\": \"softmax\", " " \"inputs\": [[11, 0, 0], [12, 0, 0]]" " }" " ], " " \"arg_nodes\": [0, 1, 2, 5, 6, 9, 10, 12], " " \"node_row_ptr\": [" " 0, " " 1, " " 2, " " 3, " " 4, " " 5, " " 6, " " 7, " " 8, " " 9, " " 10, " " 11, " " 12, " " 13, " " 14" " ], " " \"heads\": [[13, 0, 0]], " "}") ("{" " \"nodes\": [" " {" " \"op\": \"null\", " " \"name\": \"data\", " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc1_weight\", " " \"attrs\": {\"num_hidden\": \"128\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc1_bias\", " " \"attrs\": {\"num_hidden\": \"128\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"FullyConnected\", " " \"name\": \"fc1\", " " \"attrs\": {\"num_hidden\": \"128\"}, " " \"inputs\": [[0, 0, 0], [1, 0, 0], [2, 0, 0]]" " }, " " {" " \"op\": \"Activation\", " " \"name\": \"relu1\", " " \"attrs\": {\"act_type\": \"relu\"}, " " \"inputs\": [[3, 0, 0]]" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc2_weight\", " " \"attrs\": {\"num_hidden\": \"64\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc2_bias\", " " \"attrs\": {\"num_hidden\": \"64\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"FullyConnected\", " " \"name\": \"fc2\", " " \"attrs\": {\"num_hidden\": \"64\"}, " " \"inputs\": [[4, 0, 0], [5, 0, 0], [6, 0, 0]]" " }, " " {" " \"op\": \"Activation\", " " \"name\": \"relu2\", " " \"attrs\": {\"act_type\": \"relu\"}, " " \"inputs\": [[7, 0, 0]]" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc3_weight\", " " \"attrs\": {\"num_hidden\": \"10\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"null\", " " \"name\": \"fc3_bias\", " " \"attrs\": {\"num_hidden\": \"10\"}, " " \"inputs\": []" " }, " " {" " \"op\": \"FullyConnected\", " " \"name\": \"fc3\", " " \"attrs\": {\"num_hidden\": \"10\"}, " " \"inputs\": [[8, 0, 0], [9, 0, 0], [10, 0, 0]]" " }, " " {" " \"op\": \"null\", " " \"name\": \"softmax_label\", " " \"inputs\": []" " }, " " {" " \"op\": \"SoftmaxOutput\", " " \"name\": \"softmax\", " " \"inputs\": [[11, 0, 0], [12, 0, 0]]" " }" " ], " " \"arg_nodes\": [0, 1, 2, 5, 6, 9, 10, 12], " " \"node_row_ptr\": [" " 0, " " 1, " " 2, " " 3, " " 4, " " 5, " " 6, " " 7, " " 8, " " 9, " " 10, " " 11, " " 12, " " 13, " " 14" " ], " " \"heads\": [[13, 0, 0]], " " \"attrs\": {" " \"is_np_shape\": [\"int\", 0], " " }" "}"))) Ran 1 tests containing 1 assertions. 1 failures, 0 errors. ```
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