Vertex AI: Training and Serving a Custom Model Reviews

Sathya Jothi S. · Reviewed over 1 year 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 over 1 year ago

Magarajothika M. · Reviewed over 1 year ago

ok

Dharmaraj P. · Reviewed over 1 year ago

Eka W. · Reviewed over 1 year ago

Akhid Y. · Reviewed over 1 year ago

NICE

003_ A. · Reviewed over 1 year ago

Jay K. · Reviewed over 1 year ago

Adabara A. · Reviewed over 1 year ago

Beatriz L. · Reviewed over 1 year ago

Gavriel D. · Reviewed over 1 year ago

excelente

Rodolfo Z. · Reviewed over 1 year 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 over 1 year ago

Henry G. · Reviewed over 1 year ago

excelente

Rodolfo Z. · Reviewed over 1 year ago

Mohit T. · Reviewed over 1 year ago

Maksim P. · Reviewed over 1 year ago

Merci beacoup

Kamurasi J. · Reviewed over 1 year ago

faidhol a. · Reviewed over 1 year ago

Naura J. · Reviewed over 1 year ago

Anubhav M. · Reviewed over 1 year ago

Jordan B. · Reviewed over 1 year 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 over 1 year ago

Sheng Han L. · Reviewed over 1 year ago

imron r. · Reviewed over 1 year ago