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Issue when build with CUDNN, CentOS 6.5 #348
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the cudnn need cuda 7.0 at least. |
eric-haibin-lin
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Apr 4, 2018
Before Fix ************* ************* Module nnvm._base R: 21, 0: Disallow trailing comma tuple (trailing-comma-tuple) R: 27, 0: Disallow trailing comma tuple (trailing-comma-tuple) ----------------------------------- Your code has been rated at 9.99/ After Fix ************* siju@siju-DAEMON:~/D/Community/nnvm$ make lint pylint python/nnvm --rcfile=/media/siju/DATA/Community/nnvm/tests/lint/pylintrc ------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 9.99/10, +0.01)
jens-mueller-sociomantic
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Apr 10, 2019
https://github.com/apache/incubator-mxnet/releases/tag/1.3.1 This updates to MXNet 1.3.1. We are skipping 1.2.x because they indirectly reference missing commits. The update to 1.3.0 is skipped because there is already the patched version 1.3.1 available. The conflicts in `.gitmodules` are manually resolved to keep our beaver and makd dependencies. For all other conflicts their version was picked all the time. To see our changes with respect to upstream MXNet diff against the MXNet 1.3.1 tag, i.e., `git diff 1.3.1..HEAD`. * 3rdparty/dmlc-core e9446f5(e9446f5)...0a0e8ad(0a0e8ad) (41 commits) > Add OMPException class and use it for Text Parser (apache#445) > Fix build problem on windows (apache#450) > switch to safe_load for kubernetes config load (apache#449) > Add S3_IS_AWS env and fixed non-AWS behavior (apache#444) > add error message for s3 list (apache#439) (...) * 3rdparty/mkldnn 0e7ca738(0e7ca738)...0e7ca738(0e7ca738) (99 commits) > build: bumped version to v0.14 in readme > build: bumped version to v0.14 > cpu: reorder: start using jit uni for 8x8 transposition > cpu: reorder: jit uni: add 8x8 kernel > cpu: reorder: enable jit uni reorder (...) * 3rdparty/mshadow a8c650c(a8c650c)...8a9e337(8a9e337) (9 commits) > Merge pull request apache#358 from eric-haibin-lin/revert > Merge pull request apache#357 from azai91/revert/d68d3 > Merge pull request apache#356 from szha/omp > Add half_t support for batch_dot. (apache#353) > Allow large array operation in MXNet (apache#348) (...) * 3rdparty/onnx-tensorrt ()...3d8ee04(3d8ee04) (1 commits) > Refactor onnxGetBackendInfo (apache#39) * 3rdparty/ps-lite v1+144(a6dda54)...v1+146(8a76389) (1 commits) > Merge pull request apache#133 from CodingCat/turn_up_down * 3rdparty/tvm v0.3+434(90db723)d...v0.3+434(90db723)d (1 commits) > [FRONTEND] A Python hybrid frontend (apache#1251)
jens-mueller-sociomantic
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Apr 12, 2019
https://github.com/apache/incubator-mxnet/releases/tag/1.3.1 This updates to MXNet 1.3.1. We are skipping 1.2.x because they indirectly reference missing commits. The update to 1.3.0 is skipped because there is already the patched version 1.3.1 available. The conflicts in `.gitmodules` are manually resolved to keep our beaver and makd dependencies. For all other conflicts their version was picked all the time. To see our changes with respect to upstream MXNet diff against the MXNet 1.3.1 tag, i.e., `git diff 1.3.1..HEAD`. * 3rdparty/dmlc-core e9446f5(e9446f5)...0a0e8ad(0a0e8ad) (41 commits) > Add OMPException class and use it for Text Parser (apache#445) > Fix build problem on windows (apache#450) > switch to safe_load for kubernetes config load (apache#449) > Add S3_IS_AWS env and fixed non-AWS behavior (apache#444) > add error message for s3 list (apache#439) (...) * 3rdparty/mkldnn 0e7ca738(0e7ca738)...0e7ca738(0e7ca738) (99 commits) > build: bumped version to v0.14 in readme > build: bumped version to v0.14 > cpu: reorder: start using jit uni for 8x8 transposition > cpu: reorder: jit uni: add 8x8 kernel > cpu: reorder: enable jit uni reorder (...) * 3rdparty/mshadow a8c650c(a8c650c)...8a9e337(8a9e337) (9 commits) > Merge pull request apache#358 from eric-haibin-lin/revert > Merge pull request apache#357 from azai91/revert/d68d3 > Merge pull request apache#356 from szha/omp > Add half_t support for batch_dot. (apache#353) > Allow large array operation in MXNet (apache#348) (...) * 3rdparty/onnx-tensorrt ()...3d8ee04(3d8ee04) (1 commits) > Refactor onnxGetBackendInfo (apache#39) * 3rdparty/ps-lite v1+144(a6dda54)...v1+146(8a76389) (1 commits) > Merge pull request apache#133 from CodingCat/turn_up_down * 3rdparty/tvm v0.3+434(90db723)d...v0.3+434(90db723)d (1 commits) > [FRONTEND] A Python hybrid frontend (apache#1251)
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HI thanks for mxnet for great package !
When I am trying to build with CUDNN, I've got the following error when running the mnist example
INFO:root:Start training with [gpu(0)]
[09:38:18] ./dmlc-core/include/dmlc/logging.h:208: [09:38:18] ./mshadow/mshadow/./stream_gpu-inl.h:125: Check failed: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED[
09:38:18] ./dmlc-core/include/dmlc/logging.h:208: [09:38:18] ./mshadow/mshadow/./stream_gpu-inl.h:125: Check failed: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED
terminate called recursively
terminate called after throwing an instance of 'dmlc::Error'
what(): [09:38:18] ./mshadow/mshadow/./stream_gpu-inl.h:125: Check failed: (err) == (CUDNN_STATUS_SUCCESS) CUDNN_STATUS_NOT_INITIALIZED
However, it works with context = CPU.
CentOS 6.5
G++ 4.8.4
CUDA 6.5
CUDNN is 7.0
CUDA enabled
K40 Testla.
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