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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/02/05 18:38:20 UTC
[GitHub] yxchng opened a new issue #8132: How to disable
MXNET_CUDNN_AUTOTUNE_DEFAULT and bucketing log message without turning off
MXNET_CUDNN_AUTOTUNE_DEFAULT?
yxchng opened a new issue #8132: How to disable MXNET_CUDNN_AUTOTUNE_DEFAULT and bucketing log message without turning off MXNET_CUDNN_AUTOTUNE_DEFAULT?
URL: https://github.com/apache/incubator-mxnet/issues/8132
16:49:37] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:37] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:42] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:42] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:42] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:42] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:42] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:42] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:45] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:45] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:47] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:47] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:49] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:49] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:49] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:49] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:51] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:51] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:52] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:52] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:52] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:52] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:53] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:53] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:54] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:54] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:55] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:55] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
[16:49:55] src/operator/././cudnn_algoreg-inl.h:112: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
[16:49:55] src/operator/././cudnn_algoreg-inl.h:117: If you see this message in the middle of training, you are probably using bucketing. Consider setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disabl
e cudnn tuning.
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