This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 6.8k
win10 cuda8.0 vs2013 compile problem #8714
Labels
Comments
do you update submodule? |
I clone recursively the latest version today.I reappeared it on three computer. I try the openblas-v0.2.14-win64-int64,same as |
include submodule? |
better just install via pip if you are not going to modify the source |
For the same code, vs2015 is OK. vs2013 error. |
@apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage. For general "how-to" questions, our user forum (and Chinese version) is a good place to get help. |
Hi @junxigauss are you still facing this issue? |
@nswamy when you add the labels you may want to remove the "Needs Triage" label :) |
5 tasks
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 1, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
larroy
added a commit
to larroy/mxnet
that referenced
this issue
Aug 2, 2018
Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049
marcoabreu
pushed a commit
that referenced
this issue
Aug 3, 2018
aaronmarkham
pushed a commit
to aaronmarkham/incubator-mxnet
that referenced
this issue
Aug 6, 2018
* Windows scripted build Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049 * Fix bug * Fix non-portable ut * add xunit
aaronmarkham
added a commit
to aaronmarkham/incubator-mxnet
that referenced
this issue
Aug 7, 2018
[MXNET-750] fix nested call on CachedOp. (apache#11951) * fix nested call on cachedop. * fix. extend reshape op to allow reverse shape inference (apache#11956) Improve sparse embedding index out of bound error message; (apache#11940) [MXNET-770] Remove fixed seed in flaky test (apache#11958) * Remove fixed seed in flaky test * Remove fixed seed in flaky test Update ONNX docs with the latest supported ONNX version (apache#11936) Reduced test to 3 epochs and made gpu only (apache#11863) * Reduced test to 3 epochs and made GPU only * Moved logger variable so that it's accessible Fix flaky tests for test_laop_4 (apache#11972) Updating R client docs (apache#11954) * Updating R client docs * Forcing build Fix install instructions for MXNET-R (apache#11976) * fix install instructions for MXNET-R * fix install instructions for MXNET-R * fix default cuda version for MXNet-R [MXNET-751] fix ce_loss flaky (apache#11971) * add xavier initializer * remove comment line [MXNET-769] set MXNET_HOME as base for downloaded models through base.data_dir() (apache#11636) * set MXNET_DATA_DIR as base for downloaded models through base.data_dir() push joblib to save containers so is not required when running * MXNET_DATA_DIR -> MXNET_HOME [MXNET-748] linker fixed on Scala issues (apache#11989) * put force load back as a temporary solution * use project.basedir as relative path for OSX linker [MXNET-772] Re-enable test_module.py:test_module_set_params (apache#11979) [MXNET-771] Fix Flaky Test test_executor.py:test_dot (apache#11978) * use assert_almost_equal, increase rtol, reduce matrix size * remove seed in test_bind * add seed 0 to test_bind, it is still flaky * add comments for tracking remove mod from arity 2 version of load-checkpoint in clojure-package (apache#11808) * remove mod from arity 2 version of load-checkpoint * load-checkpoint arity 2 test Add unit test stage for mxnet cpu in debug mode (apache#11974) Website broken link fixes (apache#12014) * fix broken link * fix broken link * switch to .md links * fix broken link removed seed from flaky test (apache#11975) Disable ccache log print due to threadunsafety (apache#11997) Added default tolerance levels for regression checks for MBCC (apache#12006) * Added tolerance level for assert_almost_equal for MBCC * Nudge to CI Disable flaky mkldnn test_requantize_int32_to_int8 (apache#11748) [MXNET-769] Usability improvements to windows builds (apache#11947) * Windows scripted build Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049 * Fix bug * Fix non-portable ut * add xunit Fix import statement (apache#12005) array and multiply are undefined. Importing them from ndarray Disable flaky test test_random.test_gamma_generator (apache#12022) [MXNET-770] Fix flaky test: test_factorization_machine_module (apache#12023) * Remove fixed seed in flaky test * Remove fixed seed in flaky test * Update random seed to reproduce the issue * Fix Flaky unit test and add a training test * Remove fixed seed in flaky test * Update random seed to reproduce the issue * Fix Flaky unit test and add a training test * Increase accuracy check disable opencv threading for forked process (apache#12025) Bug fixes in control flow operators (apache#11942) Fix data narrowing warning on graph_executor.cc (apache#11969) Fix flaky tests for test_squared_hinge_loss (apache#12017) Fix flaky tests for test_hinge_loss (apache#12020) remove fixed seed for test_sparse_ndarray/test_operator_gpu.test_sparse_nd_pickle (apache#12012) Removed fixed seed from , test_loss:test_ctc_loss_train (apache#11985) Removed fixed seed from , test_loss:test_sample_weight_loss (apache#11986) Fix reduce_kernel_M1 (apache#12026) * Fix reduce_kernel_M1 * Improve test_norm Update test_loss.py to remove fixed seed (apache#11995) [MXNET-23] Adding support to profile kvstore server during distributed training (apache#11215) * server profiling merge with master cleanup old code added a check and better info message add functions for C compatibility fix doc lint fixes fix compile issues lint fix build error update function signatures to preserve compatibility fix comments lint * add part1 of test * add integration test Re-enabling test_ndarray/test_cached (apache#11950) Test passes on CPU and GPU (10000 runs) make gluon rnn layers hybrid blocks (apache#11482) * make Gluon RNN layer hybrid block * separate gluon gpu tests * remove excess assert_raises_cudnn_disabled usage * add comments and refactor * add bidirectional test * temporarily remove hybridize in test_gluon_rnn.test_layer_fill_shape [MXNET-751] fix bce_loss flaky (apache#11955) * add fix to bce_loss * add comments * remove unecessary comments Doc fix for a few optimizers (apache#12034) * Update optimizer.py * Update optimizer.py
XinYao1994
pushed a commit
to XinYao1994/incubator-mxnet
that referenced
this issue
Aug 29, 2018
* Windows scripted build Adjust Jenkins builds to use ci/build_windows.py Issues: apache#8714 apache#11100 apache#10166 apache#10049 * Fix bug * Fix non-portable ut * add xunit
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form.
For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io
Description
(Brief description of the problem in no more than 2 sentences.)
Environment info (Required)
win10, CUDA 8.0 GA1 (Sept 2016) ,vs2013(update5), CMake 3.10.0-rc5, OpenBLAS-v0.2.14-Win64-int32 ,noOPENCV
Package used (Python/R/Scala/Julia):
(I'm using ...)
For Scala user, please provide:
java -version
)mvn -version
)scala -version
)For R user, please provide R
sessionInfo()
:Build info (Required if built from source)
Compiler (gcc/clang/mingw/visual studio):
MXNet commit hash:
(Paste the output of
git rev-parse HEAD
here.)Build config:
(Paste the content of config.mk, or the build command.)
Error Message:
(Paste the complete error message, including stack trace.)
error C2668: “mshadow::cuda::IndexFill”: 对重载函数的调用不明确 d:\cjx_project\mxnet\src\operator\tensor\ordering_op-inl.h 414
error C2668: “mshadow::cuda::AddTakeGrad”: 对重载函数的调用不明确 d:\cjx_project\mxnet\src\operator\tensor\indexing_op.h 496
error C2668: “mshadow::cuda::AddTakeGrad”: 对重载函数的调用不明确 d:\cjx_project\mxnet\src\operator\tensor\indexing_op.h 731
Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
win10, CUDA 8.0 GA1 (Sept 2016) ,vs2013(update5), CMake 3.10.0-rc5, OpenBLAS-v0.2.14-Win64-int32 ,noOPENCV
Steps to reproduce
(Paste the commands you ran that produced the error.)
1.enviroment: win10, CUDA 8.0 GA1 (Sept 2016) ,vs2013(update5), CMake 3.10.0-rc5, OpenBLAS-v0.2.14-Win64-int32 ,noOPENCV
2.error C2668: “mshadow::cuda::IndexFill”: 对重载函数的调用不明确 d:\cjx_project\mxnet\src\operator\tensor\ordering_op-inl.h 414
error C2668: “mshadow::cuda::AddTakeGrad”: 对重载函数的调用不明确 d:\cjx_project\mxnet\src\operator\tensor\indexing_op.h 496
error C2668: “mshadow::cuda::AddTakeGrad”: 对重载函数的调用不明确 d:\cjx_project\mxnet\src\operator\tensor\indexing_op.h 731
What have you tried to solve it?
The text was updated successfully, but these errors were encountered: