Vertex AI: como treinar e disponibilizar um modelo personalizado avaliações

excelente

Rodolfo Z. · Revisado há about 1 year

Traceback (most recent call last): File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/trainer/train.py", line 159, in <module> model.save(BUCKET + '/mpg/model') File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 1974, in save signatures, options) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/saving/save.py", line 134, in save_model signatures, options) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/saving/saved_model/save.py", line 80, in save save_lib.save(model, filepath, signatures, options) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/saved_model/save.py", line 981, in save utils_impl.get_or_create_variables_dir(export_dir) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/saved_model/utils_impl.py", line 213, in get_or_create_variables_dir if not file_io.file_exists(variables_dir): File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/lib/io/file_io.py", line 249, in file_exists return file_exists_v2(filename) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/lib/io/file_io.py", line 267, in file_exists_v2 _pywrap_file_io.FileExists(compat.as_bytes(path)) tensorflow.python.framework.errors_impl.PermissionDeniedError: Error executing an HTTP request: HTTP response code 403 with body '{ "error": { "code": 403, "message": "462557502078-compute@developer.gserviceaccount.com does not have storage.objects.get access to the Google Cloud Storage object. Permission 'storage.objects.get' denied on resource (or it may not exist).", "errors": [ { "message": "462557502078-compute@developer.gserviceaccount.com does not have storage.objects.get access to the Google Cloud Storage object. Permission 'storage.objects.get' denied on resource (or it may not exist)."' when reading metadata of gs://your-gcs-bucket/mpg/model/variables

Jon O. · Revisado há about 1 year

Henry G. · Revisado há about 1 year

excelente

Rodolfo Z. · Revisado há about 1 year

Mohit T. · Revisado há about 1 year

Maksim P. · Revisado há about 1 year

Merci beacoup

Kamurasi J. · Revisado há about 1 year

faidhol a. · Revisado há about 1 year

Naura J. · Revisado há about 1 year

Anubhav M. · Revisado há about 1 year

Jordan B. · Revisado há about 1 year

A lot more information about how inference works would be very helpful. It is not clear how well this method scales, or if it is only for testing. It is also very unclear how the model is loaded and run for prediction. This makes it difficult to understand how other models, like jax and pytorch would work.

Andrew B. · Revisado há about 1 year

Sheng Han L. · Revisado há about 1 year

imron r. · Revisado há about 1 year

Godwin A. · Revisado há about 1 year

Ravi A. · Revisado há about 1 year

vinuharini S. · Revisado há about 1 year

YOHAN L. · Revisado há about 1 year

Victor O. · Revisado há about 1 year

Zeynu A. · Revisado há about 1 year

Yasmine E. · Revisado há about 1 year

JUNE D. · Revisado há about 1 year

Akeyla Pradia N. · Revisado há about 1 year

Akmal P. · Revisado há about 1 year

great

egi g. · Revisado há about 1 year