While trying to preprocess and train LJSpeech-1.1, the following error occurs during step :
CancelledError (see above for traceback): Enqueue operation was cancelled
[[node datafeeder/input_queue_enqueue (defined at /home/user/tensorflow/Tacotron-2-master/tacotron/feeder.py:86) ]]
Traceback (most recent call last):
File "train.py", line 138, in
main()
File "train.py", line 132, in main
train(args, log_dir, hparams)
File "train.py", line 57, in train
raise('Error occured while training Tacotron, Exiting!')
TypeError: exceptions must derive from BaseException
hparams did not change
os = ubuntu16.04
qpu = GeForce RTX 2070
CUDA = 10.1
tensorflow_qpu = 1.13.1
cndnn = 7.4
bazel = ??
I tried to erase it and reinstall it to change the version of the bazel, but it didn't seem right.
Bazel is bundled with software licensed under the GPLv2 with Classpath exception.
You can find the sources next to the installer on our release page:
https://github.com/bazelbuild/bazel/releases
9bc3b20053a8b99bf2c4a31323a7f96fabb9f1ec:
Fix the "nojava" platform and enable full presubmit checks for
the various JDK platforms now that we have enough GCE resources.
54c2572a8cabaf2b29e58abe9f04327314caa6a0:
Add openjdk_linux_archive java_toolchain for nojava platform.
20bfdc67dc1fc32ffebbda7088ba49ee17e3e182:
Automated rollback of commit
19a401c38e30ebc0879925a5caedcbe43de0028f.
914b4ce14624171a97ff8b41f9202058f10d15b2:
Windows: Fix Precondition check for addDynamicInputLinkOptions
83d406b7da32d1b1f6dd02eae2fe98582a4556fd:
Windows, test-setup.sh: Setting RUNFILES_MANIFEST_FILE only when
it exists.
c3fb1db9e4e817e8a911f5b347b30f2674a82f7c:
Do not use CROSSTOOL to select cc_toolchain
8e280838e8896a6b5eb5421fda435b96b6f8de60:
Windows Add tests for msys gcc toolchain and mingw gcc toolchain
fd52341505e725487c6bc6dfbe6b5e081aa037da:
update bazel-toolchains pin to latest release Part of changes to
allow bazelci to use 0.19.0 configs. RBE toolchain configs at or
before 0.17.0 are not compatible with bazel 0.19.0 or above.
6bc452874ddff69cbf7f66186238032283f1195f:
Also update cc_toolchain.toolchain_identifier when
CC_TOOLCHAIN_NAME is set
f7e5aef145c33968f658eb2260e25630dc41cc67:
Add cc_toolchain targets for the new entries in the default
cc_toolchain_suite.
683c302129b66a8999f986be5ae7e642707e978c:
Read the CROSSTOOL from the package of the current cc_toolchain,
not from --crosstool_top
Fixes regression #6662, by fixing tools/cpp/BUILD
Fixes regression #6665, by setting the toolchain identifier.
CROSSTOOL file is now read from the package of cc_toolchain, not from the
package of cc_toolchain_suite. This is not expected to break anybody since
cc_toolchain_suite and cc_toolchain are commonly in the same package.
Build informations
Commit
Uncompressing......Error: LinkageError occurred while loading main class com.google.devtools.build.lib.bazel.Bazel
java.lang.ExceptionInInitializerError: null
I don't know if it's a bazel problem or if I have to modify the parameters. Please tell me the answer to this question.
While trying to preprocess and train LJSpeech-1.1, the following error occurs during step :
CancelledError (see above for traceback): Enqueue operation was cancelled [[node datafeeder/input_queue_enqueue (defined at /home/user/tensorflow/Tacotron-2-master/tacotron/feeder.py:86) ]]
Traceback (most recent call last): File "train.py", line 138, in
main()
File "train.py", line 132, in main
train(args, log_dir, hparams)
File "train.py", line 57, in train
raise('Error occured while training Tacotron, Exiting!')
TypeError: exceptions must derive from BaseException
(tensorflow) user@user-B360M-DS3H:~/다운로드$ ./bazel-0.19.2-installer-linux-x86_64.sh --user Bazel installer
Bazel is bundled with software licensed under the GPLv2 with Classpath exception. You can find the sources next to the installer on our release page: https://github.com/bazelbuild/bazel/releases
Release 0.19.2 (2018-11-19)
Baseline: ac880418885061d1039ad6b3d8c28949782e02d6
Cherry picks:
Build informations
I don't know if it's a bazel problem or if I have to modify the parameters. Please tell me the answer to this question.