stephenrawls commented on issue #14208: Add support for fast variable-length LSTM URL: https://github.com/apache/incubator-mxnet/pull/14208#issuecomment-489296816 @szha -- ok I fixed the issues I was having with the linter / unit tests. The unix-gpu test is failing but it looks entirely unrelated to this PR: ``` Run LeNet-5 inference comparison between MXNet and TensorRT. ... [03:47:12] /work/mxnet/src/operator/subgraph/build_subgraph.cc:683: start to execute partition graph. FAIL ====================================================================== FAIL: Run LeNet-5 inference comparison between MXNet and TensorRT. ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/nose/case.py", line 198, in runTest self.test(*self.arg) File "/work/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py", line 100, in test_tensorrt_inference MXNet = %f, TensorRT = %f""" % (mx_pct, trt_pct) AssertionError: Diff. between MXNet & TensorRT accuracy too high: MXNet = 99.020000, TensorRT = 99.030000 ``` Also the unix-cpu test is failing, and it also seems unrelated: ``` FAIL: test_operator.test_custom_op_exc ... mxnet.base.MXNetError: [03:36:22] src/operator/tensor/./dot-inl.h:1237: Check failed: L[!Ta].Size() == R[Tb].Size() (2 vs. 1) : dot shape error: [4,2] X [1,4] … ```
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