Vertex AI: Training and Serving a Custom Model Rezensionen

Sarah A. · Vor 10 Monate überprüft

Sathya Jothi S. · Vor 10 Monate überprüft

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. · Vor 10 Monate überprüft

Magarajothika M. · Vor 10 Monate überprüft

ok

Dharmaraj P. · Vor 10 Monate überprüft

Eka W. · Vor 10 Monate überprüft

Akhid Y. · Vor 10 Monate überprüft

NICE

003_ A. · Vor 10 Monate überprüft

Jay K. · Vor 10 Monate überprüft

Adabara A. · Vor 10 Monate überprüft

Beatriz L. · Vor 10 Monate überprüft

Gavriel D. · Vor 10 Monate überprüft

excelente

Rodolfo Z. · Vor 10 Monate überprüft

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. · Vor 10 Monate überprüft

Henry G. · Vor 10 Monate überprüft

excelente

Rodolfo Z. · Vor 10 Monate überprüft

Mohit T. · Vor 10 Monate überprüft

Maksim P. · Vor 10 Monate überprüft

Merci beacoup

Kamurasi J. · Vor 10 Monate überprüft

faidhol a. · Vor 10 Monate überprüft

Naura J. · Vor 10 Monate überprüft

Anubhav M. · Vor 10 Monate überprüft

Jordan B. · Vor 10 Monate überprüft

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. · Vor 10 Monate überprüft

Sheng Han L. · Vor 10 Monate überprüft