关于“Vertex AI: Training and Serving a Custom Model”的评价

Sathya Jothi S. · 已于 over 1 year前审核

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. · 已于 over 1 year前审核

Magarajothika M. · 已于 over 1 year前审核

ok

Dharmaraj P. · 已于 over 1 year前审核

Eka W. · 已于 over 1 year前审核

Akhid Y. · 已于 over 1 year前审核

NICE

003_ A. · 已于 over 1 year前审核

Jay K. · 已于 over 1 year前审核

Adabara A. · 已于 over 1 year前审核

Beatriz L. · 已于 over 1 year前审核

Gavriel D. · 已于 over 1 year前审核

excelente

Rodolfo Z. · 已于 over 1 year前审核

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. · 已于 over 1 year前审核

Henry G. · 已于 over 1 year前审核

excelente

Rodolfo Z. · 已于 over 1 year前审核

Mohit T. · 已于 over 1 year前审核

Maksim P. · 已于 over 1 year前审核

Merci beacoup

Kamurasi J. · 已于 over 1 year前审核

faidhol a. · 已于 over 1 year前审核

Naura J. · 已于 over 1 year前审核

Anubhav M. · 已于 over 1 year前审核

Jordan B. · 已于 over 1 year前审核

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. · 已于 over 1 year前审核

Sheng Han L. · 已于 over 1 year前审核

imron r. · 已于 over 1 year前审核