Is there away to use the benchmark.py but not upload to GCE? Im running it on my local system in a docker container but its turning out to be a fight
Traceback (most recent call last):
File "benchmark.py", line 193, in
benchmark_runner.run_benchmark()
File "benchmark.py", line 148, in run_benchmark
site_package_info = self._setup()
File "benchmark.py", line 52, in _setup
self.workspace_dir)
File "/root/benchmarks/perfzero/lib/perfzero/utils.py", line 141, in active_gcloud_service
download_data([{'url': gcloud_key_file_url, 'local_path': local_path}])
File "/root/benchmarks/perfzero/lib/perfzero/utils.py", line 183, in download_data
run_commands([cmd], shell=False)
File "/root/benchmarks/perfzero/lib/perfzero/utils.py", line 288, in run_commands
cmd, exit_code, stdout))
Exception: "['gsutil', '-m', 'cp', '-r', '-n', 'gs://tf-performance/auth_tokens/benchmark_upload_gce.json', '/root/benchmarks/perfzero/lib/workspace']" failed with code:1 and stdout:
ServiceException: 401 Anonymous caller does not have storage.objects.get access to the Google Cloud Storage object.
CommandException: 1 file/object could not be transferred.
@jjziets did you solve this issue?
@jjziets did you solve this issue?
No. I ended up using another benchmark https://github.com/jjziets/pytorch-benchmark-volta
tensorflow
