Vertex AI: Training and Serving a Custom Model Reviews

Sathya Jothi S. · Reviewed أكثر من سنة ago

This was one of the most challenging and interesting labs in this course. I liked the multitasking and the multiple steps I had to go through an learn. Very interesting, thanks for the lab!

Ievhen S. · Reviewed أكثر من سنة ago

Magarajothika M. · Reviewed أكثر من سنة ago

ok

Dharmaraj P. · Reviewed أكثر من سنة ago

Eka W. · Reviewed أكثر من سنة ago

Akhid Y. · Reviewed أكثر من سنة ago

NICE

003_ A. · Reviewed أكثر من سنة ago

Jay K. · Reviewed أكثر من سنة ago

Adabara A. · Reviewed أكثر من سنة ago

Beatriz L. · Reviewed أكثر من سنة ago

Gavriel D. · Reviewed أكثر من سنة ago

excelente

Rodolfo Z. · Reviewed أكثر من سنة ago

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. · Reviewed أكثر من سنة ago

Henry G. · Reviewed أكثر من سنة ago

excelente

Rodolfo Z. · Reviewed أكثر من سنة ago

Mohit T. · Reviewed أكثر من سنة ago

Maksim P. · Reviewed أكثر من سنة ago

Merci beacoup

Kamurasi J. · Reviewed أكثر من سنة ago

faidhol a. · Reviewed أكثر من سنة ago

Naura J. · Reviewed أكثر من سنة ago

Anubhav M. · Reviewed أكثر من سنة ago

Jordan B. · Reviewed أكثر من سنة ago

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. · Reviewed أكثر من سنة ago

Sheng Han L. · Reviewed أكثر من سنة ago

imron r. · Reviewed أكثر من سنة ago