Opinie (Vertex AI: Training and Serving a Custom Model)

Sathya Jothi S. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Magarajothika M. · Sprawdzono ponad rok temu

ok

Dharmaraj P. · Sprawdzono ponad rok temu

Eka W. · Sprawdzono ponad rok temu

Akhid Y. · Sprawdzono ponad rok temu

NICE

003_ A. · Sprawdzono ponad rok temu

Jay K. · Sprawdzono ponad rok temu

Adabara A. · Sprawdzono ponad rok temu

Beatriz L. · Sprawdzono ponad rok temu

Gavriel D. · Sprawdzono ponad rok temu

excelente

Rodolfo Z. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Henry G. · Sprawdzono ponad rok temu

excelente

Rodolfo Z. · Sprawdzono ponad rok temu

Mohit T. · Sprawdzono ponad rok temu

Maksim P. · Sprawdzono ponad rok temu

Merci beacoup

Kamurasi J. · Sprawdzono ponad rok temu

faidhol a. · Sprawdzono ponad rok temu

Naura J. · Sprawdzono ponad rok temu

Anubhav M. · Sprawdzono ponad rok temu

Jordan B. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Sheng Han L. · Sprawdzono ponad rok temu

imron r. · Sprawdzono ponad rok temu