Vertex AI: Training and Serving a Custom Model Reviews

Sathya Jothi S. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago

Magarajothika M. · Reviewed 1 yıldan fazla ago

ok

Dharmaraj P. · Reviewed 1 yıldan fazla ago

Eka W. · Reviewed 1 yıldan fazla ago

Akhid Y. · Reviewed 1 yıldan fazla ago

NICE

003_ A. · Reviewed 1 yıldan fazla ago

Jay K. · Reviewed 1 yıldan fazla ago

Adabara A. · Reviewed 1 yıldan fazla ago

Beatriz L. · Reviewed 1 yıldan fazla ago

Gavriel D. · Reviewed 1 yıldan fazla ago

excelente

Rodolfo Z. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago

Henry G. · Reviewed 1 yıldan fazla ago

excelente

Rodolfo Z. · Reviewed 1 yıldan fazla ago

Mohit T. · Reviewed 1 yıldan fazla ago

Maksim P. · Reviewed 1 yıldan fazla ago

Merci beacoup

Kamurasi J. · Reviewed 1 yıldan fazla ago

faidhol a. · Reviewed 1 yıldan fazla ago

Naura J. · Reviewed 1 yıldan fazla ago

Anubhav M. · Reviewed 1 yıldan fazla ago

Jordan B. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago

Sheng Han L. · Reviewed 1 yıldan fazla ago

imron r. · Reviewed 1 yıldan fazla ago