I am new to dbt and I am trying to run dbt freshness test but I seem to be getting errors.
the below code has been working successfully
dbt run --no-version-check
But when I try to run this
dbt source freshness --no-version-check
I get the following error
usage: dbt [-h] [--version] [-r RECORD_TIMING_INFO] [-d] [--log-format {text,json,default}] [--no-write-json]
[--use-colors | --no-use-colors] [--printer-width PRINTER_WIDTH] [--warn-error] [--no-version-check]
[--partial-parse | --no-partial-parse] [--use-experimental-parser] [--no-static-parser]
[--profiles-dir PROFILES_DIR] [--no-anonymous-usage-stats] [-x] [--event-buffer-size EVENT_BUFFER_SIZE]
{docs,source,init,clean,debug,deps,list,ls,build,snapshot,run,compile,parse,test,seed,run-operation}
...
dbt: error: unrecognized arguments: --no-version-check
Try
dbt --no-version-check source freshness
Related
to run test_streaming_accuracy.cc , I ran the following command:
bazel run tensorflow/examples/speech_commands:test_streaming_accuracy --graph=/home/sweta/AudioRecognition/speech_commands_train/my_frozen_graph.pb --labels=/home/sweta/AudioRecognition/speech_commands_train/conv_labels.txt --wav=/home/sweta/AudioRecognition/speech_dataset/streaming_test_labels.wav --ground_truth=/home/sweta/AudioRecognition/speech_dataset/streaming_test_labels.txt --verbose
After executing this, I am getting the following error:
ERROR: Unrecognized option: --graph=/home/sweta/AudioRecognition/speech_commands_train/my_frozen_graph.pb
Anyone has any idea how to go about it?
In order to pass arguments to the binary under bazel run, you'll need to include an additional -- before your args, or else Bazel will parse those as arguments for itself.
e.g. bazel run //my/binary:target --verbose_failures -- --arg_for_binary_target=42
I am trying to run pig script in local mode on a single node cluster as given below.
hduser#ubuntu:~$ pig -x local -f "/home/hduser/ddsoft/pigscript/FirstUDF.pig"
But I am getting below error.
[main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 101: file
'/home/hduser/ddsoft/hive-0.13.1-bin/hcatalog/share/hcatalog/hcatalog-core-0.13.1.jar'
does not exist.
how do I register the jar file mentioned in the error message. I tried updating the .bashrc, but it didn’t fix the error.
The build for tutorials_example_trainer works fine in release mode (-c opt), but fails in debug mode (-c dbg).
Did anyone encounter this? It seems to be a bug.
The command I run:
bazel build -c dbg --config=cuda //tensorflow/cc:tutorials_example_trainer --verbose_failures
The build fails with the following message:
/usr/include/c++/4.8/mutex(125) (col. 5): error: calling a host
function("std::mutex_base::__mutex_base [subobject]") from a
__device function("std::mutex::mutex") is not allowed
< some warnings>
1 error detected in the compilation of
"/tmp/tmpxft_00005e78_00000000-10_cwise_op_gpu_log.cu.compute_52.cpp1.ii".
ERROR:
/home/uriv/git/tensorflow/tensorflow/tensorflow/core/BUILD:248:1:
output
'tensorflow/core/_objs/gpu_kernels/tensorflow/core/kernels/cwise_op_gpu_log.cu.pic.o'
was not created. ERROR:
/home/uriv/git/tensorflow/tensorflow/tensorflow/core/BUILD:248:1: not
all outputs were created.
Thanks.
You can workaround the problem by editing
tensorflow/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceType.h
and commenting out the following 2 lines of code:
static tensorflow::mutex m_devicePropInitMutex(tensorflow::LINKER_INITIALIZED);
and
tensorflow::mutex_lock l(m_devicePropInitMutex);
I'll push a proper fix to the tensorflow repository shortly.
I am trying to run the code in this tutorial.
When I try to run this command:
sudo bazel run -c opt tensorflow/models/rnn/translate/translate.py -- -- data_dir ../data/translate/
I get the following error:
...................
ERROR: Cannot run target //tensorflow/models/rnn/translate:translate.py: Not executable.
INFO: Elapsed time: 1.537s
ERROR: Build failed. Not running target.
Any ideas how to resolve?
It seems there are a lot of mistakes in the Tensorflow tutorial..
I was able to run it by removing the .py, and adding an extra -- before the options like:
bazel run -c opt tensorflow/models/rnn/translate/translate -- --data_dir /home/minsoo/tensorflowrnn/data
the directory part should be changed according to your system.
I ran it by going to the directory and running:
python translate.py
I try to use the command ninja -C out/Debug chrome to compile Chromium.
However the error msg says that:
ninja error loading 'build.ninja': the system cannot find the file specified
ninja Entering dictory 'out/Debug'
Could I know what's the problem?
Thanks.
The out directory and its contents (including build.ninja) are created by running
python build\gyp_chromium
or
gclient runhooks
Executing either command from within /src should allow your compile to proceed.
On Windows machine!
When I was running gn gen out/Default it also gave me an error:
ERROR at //build/config/win/visual_studio_version.gni:27:7: Script returned non-zero exit code.
exec_script("../../vs_toolchain.py", [ "get_toolchain_dir" ], "scope")
^----------
Current dir: D:/Chromium/src/out/Goma/
Command: C:/Python27/python.exe -- D:/Chromium/src/build/vs_toolchain.py get_toolchain_dir
Returned 1 and printed out:
Please follow the instructions at https://chromium.googlesource.com/chromium/src/+/master/docs/windows_build_instructions.md
I did the following steps and it worked for me.
Set this variable. Reference (not sure about its purpose yet)
set DEPOT_TOOLS_WIN_TOOLCHAIN=0
Run the command gn gen out/Default
Run the build command again
autoninja -C out/Default chrome
It is also recommended to run gclient sync from out/Default directory.
After the switch to "gn" you could try:
gn gen out/Debug