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KalmanFilter pytest code failing on my RTX workstation #1603

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JasonAtNvidia opened this issue Jan 27, 2020 · 2 comments
Closed

KalmanFilter pytest code failing on my RTX workstation #1603

JasonAtNvidia opened this issue Jan 27, 2020 · 2 comments

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@JasonAtNvidia
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JasonAtNvidia commented Jan 27, 2020 •
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Running in container rapidsai-dev-nightly:0.12-cuda10.0-devel-ubuntu18.04-py3.6 on Jan 27th, 2020

Code taken out of PyTest scripts that should run

f = KalmanFilter(dim_x=2, dim_z=1)


dt = np.float32


f.x = cuda.to_device(np.array([[0], [1]], dtype=dt))

f.F = cuda.to_device(np.array([[1., 0],
                               [1, 1.]], dtype=dt))

f.H = cuda.to_device(np.array([[1., 0.]], dtype=dt))
f.P = cuda.to_device(np.array([[1000, 0],
                              [0., 1000]], dtype=dt))
f.R = cuda.to_device(np.array([5.0], dtype=dt))
var = 0.001
f.Q = cuda.to_device(np.array([[.25*var, .5*var],
                              [0.5*var, 1.1*var]], dtype=dt))

rmse_x = 0
rmse_v = 0

n = 100

for i in range(100):
    f.predict()

    z = i

    f.update(cuda.to_device(np.array([z], dtype=dt)))
    x = f.x.copy_to_host()
    rmse_x = rmse_x + ((x[0] - i)**2)
    rmse_v = rmse_v + ((x[1] - 1)**2)

Fails with error

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-41-2298d2029217> in <module>
     24 
     25 for i in range(100):
---> 26     f.predict()
     27 
     28     z = i

cuml/filter/kalman_filter.pyx in cuml.filter.kalman_filter.KalmanFilter.predict()

RuntimeError: Exception occured! file=/rapids/cuml/cpp/src/kalman_filter/utils.h line=74: FAIL: call='cudaPeekAtLastError()'. Reason:invalid argument

Obtained 64 stack frames
#0 in /opt/conda/envs/rapids/lib/libcuml++.so(_ZN8MLCommon9Exception16collectCallStackEv+0x3e) [0x7f4b0ae0a70e]
#1 in /opt/conda/envs/rapids/lib/libcuml++.so(_ZN8MLCommon9ExceptionC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0x71) [0x7f4b0ae0b561]
#2 in /opt/conda/envs/rapids/lib/libcuml++.so(_ZN2kf14make_ID_matrixIfEEvPT_i+0x220) [0x7f4b0af4f890]
#3 in /opt/conda/envs/rapids/lib/libcuml++.so(_ZN2kf6linear3setIfEEvRNS0_9VariablesIT_EEiiNS0_6OptionEPS3_S7_S7_S7_S7_S7_S7_S7_PvRmP17cusolverDnContext+0x1db) [0x7f4b0af4faab]
#4 in /opt/conda/envs/rapids/lib/libcuml++.so(_ZN2kf6linear8init_f32ERNS0_9VariablesIfEEiiNS0_6OptionEPfS5_S5_S5_S5_S5_S5_S5_PvRm+0x154) [0x7f4b0af4d214]
#5 in /opt/conda/envs/rapids/lib/python3.6/site-packages/cuml/filter/kalman_filter.cpython-36m-x86_64-linux-gnu.so(+0xbc2b) [0x7f4a3e61cc2b]
#6 in /opt/conda/envs/rapids/lib/python3.6/site-packages/cuml/filter/kalman_filter.cpython-36m-x86_64-linux-gnu.so(+0xcf6b) [0x7f4a3e61df6b]
#7 in /opt/conda/envs/rapids/bin/python(_PyObject_FastCallDict+0x8b) [0x5638892e4d2b]
#8 in /opt/conda/envs/rapids/bin/python(+0x1a16ae) [0x5638893726ae]
#9 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#10 in /opt/conda/envs/rapids/bin/python(PyEval_EvalCodeEx+0x329) [0x563889347069]
#11 in /opt/conda/envs/rapids/bin/python(PyEval_EvalCode+0x1c) [0x563889347dfc]
#12 in /opt/conda/envs/rapids/bin/python(+0x1c41fb) [0x5638893951fb]
#13 in /opt/conda/envs/rapids/bin/python(_PyCFunction_FastCallDict+0x91) [0x5638892e4a81]
#14 in /opt/conda/envs/rapids/bin/python(+0x1a155c) [0x56388937255c]
#15 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#16 in /opt/conda/envs/rapids/bin/python(_PyGen_Send+0x256) [0x5638893758e6]
#17 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x13a0) [0x563889398840]
#18 in /opt/conda/envs/rapids/bin/python(_PyGen_Send+0x256) [0x5638893758e6]
#19 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x13a0) [0x563889398840]
#20 in /opt/conda/envs/rapids/bin/python(_PyGen_Send+0x256) [0x5638893758e6]
#21 in /opt/conda/envs/rapids/bin/python(_PyCFunction_FastCallDict+0x115) [0x5638892e4b05]
#22 in /opt/conda/envs/rapids/bin/python(+0x1a155c) [0x56388937255c]
#23 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#24 in /opt/conda/envs/rapids/bin/python(+0x171a5b) [0x563889342a5b]
#25 in /opt/conda/envs/rapids/bin/python(+0x1a1635) [0x563889372635]
#26 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#27 in /opt/conda/envs/rapids/bin/python(+0x171a5b) [0x563889342a5b]
#28 in /opt/conda/envs/rapids/bin/python(+0x1a1635) [0x563889372635]
#29 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#30 in /opt/conda/envs/rapids/bin/python(+0x170cf6) [0x563889341cf6]
#31 in /opt/conda/envs/rapids/bin/python(_PyFunction_FastCallDict+0x3da) [0x56388934338a]
#32 in /opt/conda/envs/rapids/bin/python(_PyObject_FastCallDict+0x26f) [0x5638892e4f0f]
#33 in /opt/conda/envs/rapids/bin/python(_PyObject_Call_Prepend+0x63) [0x5638892e9b33]
#34 in /opt/conda/envs/rapids/bin/python(PyObject_Call+0x3e) [0x5638892e494e]
#35 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x1a92) [0x563889398f32]
#36 in /opt/conda/envs/rapids/bin/python(+0x170fc6) [0x563889341fc6]
#37 in /opt/conda/envs/rapids/bin/python(+0x171c91) [0x563889342c91]
#38 in /opt/conda/envs/rapids/bin/python(+0x1a1635) [0x563889372635]
#39 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x10b8) [0x563889398558]
#40 in /opt/conda/envs/rapids/bin/python(+0x1a4450) [0x563889375450]
#41 in /opt/conda/envs/rapids/bin/python(_PyCFunction_FastCallDict+0x91) [0x5638892e4a81]
#42 in /opt/conda/envs/rapids/bin/python(+0x1a155c) [0x56388937255c]
#43 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#44 in /opt/conda/envs/rapids/bin/python(+0x170fc6) [0x563889341fc6]
#45 in /opt/conda/envs/rapids/bin/python(+0x171c91) [0x563889342c91]
#46 in /opt/conda/envs/rapids/bin/python(+0x1a1635) [0x563889372635]
#47 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#48 in /opt/conda/envs/rapids/bin/python(+0x1a4450) [0x563889375450]
#49 in /opt/conda/envs/rapids/bin/python(_PyCFunction_FastCallDict+0x91) [0x5638892e4a81]
#50 in /opt/conda/envs/rapids/bin/python(+0x1a155c) [0x56388937255c]
#51 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#52 in /opt/conda/envs/rapids/bin/python(+0x170fc6) [0x563889341fc6]
#53 in /opt/conda/envs/rapids/bin/python(+0x171c91) [0x563889342c91]
#54 in /opt/conda/envs/rapids/bin/python(+0x1a1635) [0x563889372635]
#55 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#56 in /opt/conda/envs/rapids/bin/python(+0x1a4450) [0x563889375450]
#57 in /opt/conda/envs/rapids/bin/python(_PyCFunction_FastCallDict+0x91) [0x5638892e4a81]
#58 in /opt/conda/envs/rapids/bin/python(+0x1a155c) [0x56388937255c]
#59 in /opt/conda/envs/rapids/bin/python(_PyEval_EvalFrameDefault+0x30a) [0x5638893977aa]
#60 in /opt/conda/envs/rapids/bin/python(+0x170fc6) [0x563889341fc6]
#61 in /opt/conda/envs/rapids/bin/python(_PyFunction_FastCallDict+0x1bc) [0x56388934316c]
#62 in /opt/conda/envs/rapids/bin/python(_PyObject_FastCallDict+0x26f) [0x5638892e4f0f]
#63 in /opt/conda/envs/rapids/bin/python(_PyObject_Call_Prepend+0x63) [0x5638892e9b33]
@JasonAtNvidia
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My print_env.sh output

(rapids) root@faf4b05b01b0:/rapids/cudf# ./print_env.sh 
<details><summary>Click here to see environment details</summary><pre>
     
     **git***
     commit 03d22b30c7315096d8d7d3b94c172b896a81595d (HEAD -> branch-0.12, origin/branch-0.12)
     Merge: 0fa88df7d 3225a8328
     Author: Ray Douglass <[email protected]>
     Date:   Fri Jan 24 11:31:29 2020 -0500
     
     Merge pull request #3906 from raydouglass/pandas-version
     
     [REVIEW] Update cudf meta for pandas version #3486 [skip-ci]
     **git submodules***
     b165e1fb11eeea64ccf95053e40f2424312599cc thirdparty/cub (v1.7.1)
     bcd545071c7a5ddb28cb6576afc6399eb1286c43 thirdparty/jitify (heads/cudf)
     cdcda484d0c7db114ea29c3b33429de5756ecfd8 thirdparty/libcudacxx (0.8.1-99-gcdcda48)
     a97a7380c76346c22bb67b93695bed19592afad2 thirdparty/libcudacxx/libcxx (heads/rapidsai-interop)
     
     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=18.04
     DISTRIB_CODENAME=bionic
     DISTRIB_DESCRIPTION="Ubuntu 18.04.3 LTS"
     NAME="Ubuntu"
     VERSION="18.04.3 LTS (Bionic Beaver)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 18.04.3 LTS"
     VERSION_ID="18.04"
     HOME_URL="https://www.ubuntu.com/"
     SUPPORT_URL="https://help.ubuntu.com/"
     BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
     PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
     VERSION_CODENAME=bionic
     UBUNTU_CODENAME=bionic
     Linux faf4b05b01b0 4.15.0-74-generic #84-Ubuntu SMP Thu Dec 19 08:06:28 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
     
     ***GPU Information***
     Mon Jan 27 17:33:55 2020
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 418.87.00    Driver Version: 418.87.00    CUDA Version: 10.1     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |===============================+======================+======================|
     |   0  Quadro RTX 8000     On   | 00000000:07:00.0  On |                  Off |
     | 33%   32C    P8    15W / 260W |    384MiB / 48570MiB |      9%      Default |
     +-------------------------------+----------------------+----------------------+
     |   1  TITAN V             On   | 00000000:43:00.0 Off |                  N/A |
     | 34%   49C    P8    29W / 250W |    863MiB / 12036MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
     |   2  TITAN V             On   | 00000000:44:00.0 Off |                  N/A |
     | 38%   54C    P8    30W / 250W |     12MiB / 12036MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
     
     +-----------------------------------------------------------------------------+
     | Processes:                                                       GPU Memory |
     |  GPU       PID   Type   Process name                             Usage      |
     |=============================================================================|
     +-----------------------------------------------------------------------------+
     
     ***CPU***
     Architecture:        x86_64
     CPU op-mode(s):      32-bit, 64-bit
     Byte Order:          Little Endian
     CPU(s):              32
     On-line CPU(s) list: 0-31
     Thread(s) per core:  2
     Core(s) per socket:  16
     Socket(s):           1
     NUMA node(s):        1
     Vendor ID:           AuthenticAMD
     CPU family:          23
     Model:               1
     Model name:          AMD Ryzen Threadripper 1950X 16-Core Processor
     Stepping:            1
     CPU MHz:             1887.967
     CPU max MHz:         3400.0000
     CPU min MHz:         2200.0000
     BogoMIPS:            6786.88
     Virtualization:      AMD-V
     L1d cache:           32K
     L1i cache:           64K
     L2 cache:            512K
     L3 cache:            8192K
     NUMA node0 CPU(s):   0-31
     Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid amd_dcm aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate sme ssbd vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca
     
     ***CMake***
     /opt/conda/envs/rapids/bin/cmake
     cmake version 3.14.5
     
     CMake suite maintained and supported by Kitware (kitware.com/cmake).
     
     ***g++***
     /usr/bin/g++
     g++ (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
     Copyright (C) 2017 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
     
     
     ***nvcc***
     /usr/local/cuda/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2018 NVIDIA Corporation
     Built on Sat_Aug_25_21:08:01_CDT_2018
     Cuda compilation tools, release 10.0, V10.0.130
     
     ***Python***
     /opt/conda/envs/rapids/bin/python
     Python 3.6.7
     
     ***Environment Variables***
     PATH                            : /opt/conda/envs/rapids/bin:/opt/conda/condabin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/conda/bin:/conda/bin:/conda/bin
     LD_LIBRARY_PATH                 : /opt/conda/envs/rapids/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/lib
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /opt/conda/envs/rapids
     PYTHON_PATH                     :
     
     ***conda packages***
     /opt/conda/condabin/conda
     # packages in environment at /opt/conda/envs/rapids:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                       0_gnu    conda-forge
     _tflow_select             2.1.0                       gpu
     absl-py                   0.9.0                    py36_0    conda-forge
     aiohttp                   3.6.2            py36h516909a_0    conda-forge
     alabaster                 0.7.12                     py_0    conda-forge
     appdirs                   1.4.3                      py_1    conda-forge
     arrow-cpp                 0.15.0           py36h090bef1_2    conda-forge
     astor                     0.7.1                      py_0    conda-forge
     async-timeout             3.0.1                   py_1000    conda-forge
     attrs                     19.3.0                     py_0    conda-forge
     babel                     2.8.0                      py_0    conda-forge
     backcall                  0.1.0                      py_0    conda-forge
     black                     19.10b0                  py36_0    conda-forge
     blas                      2.14                   openblas    conda-forge
     bleach                    3.1.0                      py_0    conda-forge
     bokeh                     1.4.0                    py36_0    conda-forge
     boost-cpp                 1.70.0               h8e57a91_2    conda-forge
     brotli                    1.0.7             he1b5a44_1000    conda-forge
     bzip2                     1.0.8                h516909a_2    conda-forge
     c-ares                    1.15.0            h516909a_1001    conda-forge
     ca-certificates           2019.11.28           hecc5488_0    conda-forge
     cairo                     1.16.0            hfb77d84_1002    conda-forge
     certifi                   2019.11.28               py36_0    conda-forge
     cffi                      1.13.2           py36h8022711_0    conda-forge
     cfitsio                   3.470                hb60a0a2_2    conda-forge
     chardet                   3.0.4                 py36_1003    conda-forge
     click                     7.0                      pypi_0    pypi
     cloudpickle               1.2.2                      py_1    conda-forge
     cmake                     3.14.5               hf94ab9c_0    conda-forge
     cmake_setuptools          0.1.3                      py_0    rapidsai-nightly
     commonmark                0.9.1                      py_0    conda-forge
     cryptography              2.8              py36h72c5cf5_1    conda-forge
     cudatoolkit               10.0.130                      0    nvidia
     cudf                      0.12.0b0+2007.g03d22b30c          pypi_0    pypi
     cudnn                     7.6.0                cuda10.0_0    nvidia
     cugraph                   0.12.0a0+314.gf9d9bbc.dirty          pypi_0    pypi
     cuml                      0.12.0a0+768.g69521db3          pypi_0    pypi
     cupti                     10.0.130                      0
     cupy                      6.7.0            py36he57b8b9_0    conda-forge
     curl                      7.65.3               hf8cf82a_0    conda-forge
     cuspatial                 0.12.0a0+33.gf75580e          pypi_0    pypi
     cycler                    0.10.0                     py_2    conda-forge
     cyrus-sasl                2.1.27               he38ecfd_0    conda-forge
     cython                    0.29.14          py36he1b5a44_0    conda-forge
     cytoolz                   0.10.1           py36h516909a_0    conda-forge
     dask                      2.9.2                      py_0    conda-forge
     dask-core                 2.9.2                      py_0    conda-forge
     dask-cuda                 0.12.0a200124           py36_48    rapidsai-nightly
     dask-cudf                 0.12.0b0+2007.g03d22b30c          pypi_0    pypi
     dask-glm                  0.2.0                      py_1    conda-forge
     dask-labextension         1.1.0                      py_0    conda-forge
     dask-ml                   1.2.0                      py_0    conda-forge
     dask-xgboost              0.1.5                    pypi_0    pypi
     dataclasses               0.7                      py36_0    conda-forge
     dbus                      1.13.6               he372182_0    conda-forge
     decorator                 4.4.1                      py_0    conda-forge
     defusedxml                0.6.0                      py_0    conda-forge
     distributed               2.9.3                      py_0    conda-forge
     dlpack                    0.2                  he1b5a44_1    conda-forge
     docutils                  0.16                     py36_0    conda-forge
     double-conversion         3.1.5                he1b5a44_2    conda-forge
     doxygen                   1.8.16               hd1b7508_1    conda-forge
     entrypoints               0.3                   py36_1000    conda-forge
     expat                     2.2.5             he1b5a44_1004    conda-forge
     fastavro                  0.22.9           py36h516909a_0    conda-forge
     fastrlock                 0.4             py36he1b5a44_1000    conda-forge
     flake8                    3.7.9                    py36_0    conda-forge
     flatbuffers               1.11.0               he1b5a44_0    conda-forge
     fontconfig                2.13.1            h86ecdb6_1001    conda-forge
     freetype                  2.10.0               he983fc9_1    conda-forge
     freexl                    1.0.5             h14c3975_1002    conda-forge
     fribidi                   1.0.5             h516909a_1002    conda-forge
     fsspec                    0.6.2                      py_0    conda-forge
     future                    0.18.2                   py36_0    conda-forge
     gast                      0.2.2                      py_0    conda-forge
     gdal                      2.4.4            py36h5f563d9_0    conda-forge
     geos                      3.8.0                he1b5a44_0    conda-forge
     geotiff                   1.5.1                h38872f0_8    conda-forge
     gettext                   0.19.8.1          hc5be6a0_1002    conda-forge
     gflags                    2.2.2             he1b5a44_1002    conda-forge
     giflib                    5.1.7                h516909a_1    conda-forge
     glib                      2.58.3          py36h6f030ca_1002    conda-forge
     glog                      0.4.0                he1b5a44_1    conda-forge
     gmp                       6.2.0                he1b5a44_0    conda-forge
     google-pasta              0.1.8                      py_0    conda-forge
     graphite2                 1.3.13            hf484d3e_1000    conda-forge
     graphviz                  2.42.3               h0511662_0    conda-forge
     grpc-cpp                  1.23.0               h18db393_0    conda-forge
     grpcio                    1.23.0           py36he9ae1f9_0    conda-forge
     gst-plugins-base          1.14.5               h0935bb2_0    conda-forge
     gstreamer                 1.14.5               h36ae1b5_0    conda-forge
     h5py                      2.10.0          nompi_py36h513d04c_101    conda-forge
     harfbuzz                  2.4.0                h9f30f68_3    conda-forge
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     jpeg                      9c                h14c3975_1001    conda-forge
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     jupyterlab-nvdashboard    0.1.11                   pypi_0    pypi
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     libclang                  8.0.0                h6bb024c_0    rapidsai
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     libcurl                   7.65.3               hda55be3_0    conda-forge
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     libllvm8                  8.0.1                hc9558a2_0    conda-forge
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     libntlm                   1.4               h14c3975_1002    conda-forge
     libopenblas               0.3.7                h5ec1e0e_6    conda-forge
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     libxml2                   2.9.10               hee79883_0    conda-forge
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     matplotlib                3.1.2                    py36_1    conda-forge
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     nccl                      2.4.6.1              cuda10.0_0    nvidia
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     networkx                  2.4                        py_0    conda-forge
     nodejs                    13.7.0               h10a4023_0    conda-forge
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     numba                     0.46.0           py36hb3f55d8_1    conda-forge
     numpy                     1.17.5           py36h95a1406_0    conda-forge
     numpydoc                  0.9.2                      py_0    conda-forge
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     olefile                   0.46                       py_0    conda-forge
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     openssl                   1.1.1d               h516909a_0    conda-forge
     opt_einsum                3.1.0                      py_0    conda-forge
     packaging                 20.1                       py_0    conda-forge
     pandas                    0.25.3           py36hb3f55d8_0    conda-forge
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     poppler-data              0.4.9                         1    conda-forge
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     prometheus_client         0.7.1                      py_0    conda-forge
     prompt-toolkit            2.0.10                   pypi_0    pypi
     protobuf                  3.8.0            py36he1b5a44_2    conda-forge
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     pthread-stubs             0.4               h14c3975_1001    conda-forge
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     pynvml                    8.0.4                      py_0    conda-forge
     pyopenssl                 19.1.0                   py36_0    conda-forge
     pyparsing                 2.4.6                      py_0    conda-forge
     pyqt                      5.9.2            py36hcca6a23_4    conda-forge
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     pytest                    5.3.4                    py36_0    conda-forge
     python                    3.6.7             h357f687_1006    conda-forge
     python-dateutil           2.8.1                      py_0    conda-forge
     pytz                      2019.3                     py_0    conda-forge
     pyyaml                    5.3              py36h516909a_0    conda-forge
     pyzmq                     18.1.1           py36h1768529_0    conda-forge
     qt                        5.9.7                h0c104cb_3    conda-forge
     rapidjson                 1.1.0             he1b5a44_1002    conda-forge
     re2                       2020.01.01           he1b5a44_0    conda-forge
     readline                  8.0                  hf8c457e_0    conda-forge
     recommonmark              0.6.0                      py_0    conda-forge
     regex                     2020.1.8         py36h516909a_0    conda-forge
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     rhash                     1.3.6             h14c3975_1001    conda-forge
     rmm                       0.12.0a0+194.g2e309eb          pypi_0    pypi
     scikit-learn              0.22.1           py36hcdab131_1    conda-forge
     scipy                     1.4.1            py36h921218d_0    conda-forge
     seaborn                   0.9.0                      py_2    conda-forge
     send2trash                1.5.0                      py_0    conda-forge
     setuptools                45.1.0                   py36_0    conda-forge
     simpervisor               0.3                        py_1    conda-forge
     sip                       4.19.8          py36hf484d3e_1000    conda-forge
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     snappy                    1.1.7             he1b5a44_1003    conda-forge
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     tensorflow                2.0.0           gpu_py36h6b29c10_0
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     traitlets                 4.3.3                    py36_0    conda-forge
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     tzcode                    2019a             h516909a_1002    conda-forge
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     ucx-py                    0.12.0a200123+g01beed7        py36_129    rapidsai-nightly
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     webencodings              0.5.1                      py_1    conda-forge
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     wheel                     0.33.6                   py36_0    conda-forge
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     xorg-libxau               1.0.9                h14c3975_0    conda-forge
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     xorg-libxt                1.1.5             h516909a_1003    conda-forge
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     xz                        5.2.4             h14c3975_1001    conda-forge
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     zlib                      1.2.11            h516909a_1006    conda-forge
     zstd                      1.4.3                h3b9ef0a_0    conda-forge
     
</pre></details>

@divyegala
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@JasonAtNvidia Hi, we have deprecated KalmanFilter with our 0.13 release, and will no longer be having that algorithm starting 0.14. So, I'm closing this issue.

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@divyegala @JasonAtNvidia