Using custom containers with AI Platform Training recensioni
4207 recensioni
Dinesh K. · Recensione inserita oltre 4 anni fa
Chalach M. · Recensione inserita oltre 4 anni fa
Abel V. · Recensione inserita oltre 4 anni fa
Dimitrios M. · Recensione inserita oltre 4 anni fa
Michael L. · Recensione inserita oltre 4 anni fa
Shreya A. · Recensione inserita oltre 4 anni fa
Jessica H. · Recensione inserita oltre 4 anni fa
Sankalp S. · Recensione inserita oltre 4 anni fa
There is an error with the modules we import in the Notebook: ImportError Traceback (most recent call last) /opt/conda/lib/python3.7/site-packages/fsspec/registry.py in get_filesystem_class(protocol) 210 try: --> 211 register_implementation(protocol, _import_class(bit["class"])) 212 except ImportError as e: /opt/conda/lib/python3.7/site-packages/fsspec/registry.py in _import_class(cls, minv) 225 --> 226 mod = importlib.import_module(mod) 227 if minversion: /opt/conda/lib/python3.7/importlib/__init__.py in import_module(name, package) 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 /opt/conda/lib/python3.7/importlib/_bootstrap.py in _gcd_import(name, package, level) /opt/conda/lib/python3.7/importlib/_bootstrap.py in _find_and_load(name, import_) /opt/conda/lib/python3.7/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_) /opt/conda/lib/python3.7/importlib/_bootstrap.py in _load_unlocked(spec) /opt/conda/lib/python3.7/importlib/_bootstrap_external.py in exec_module(self, module) /opt/conda/lib/python3.7/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) /opt/conda/lib/python3.7/site-packages/gcsfs/__init__.py in <module> 4 del get_versions ----> 5 from .core import GCSFileSystem 6 from .mapping import GCSMap /opt/conda/lib/python3.7/site-packages/gcsfs/core.py in <module> 32 from fsspec.asyn import sync_wrapper, sync, AsyncFileSystem ---> 33 from fsspec.utils import stringify_path, setup_logging 34 from fsspec.implementations.http import get_client ImportError: cannot import name 'setup_logging' from 'fsspec.utils' (/opt/conda/lib/python3.7/site-packages/fsspec/utils.py) The above exception was the direct cause of the following exception: ImportError Traceback (most recent call last) <ipython-input-12-39c477799857> in <module> ----> 1 df_train = pd.read_csv(TRAINING_FILE_PATH) 2 df_validation = pd.read_csv(VALIDATION_FILE_PATH) 3 print(df_train.shape) 4 print(df_validation.shape) /opt/conda/lib/python3.7/site-packages/pandas/io/parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options) 608 kwds.update(kwds_defaults) 609 --> 610 return _read(filepath_or_buffer, kwds) 611 612 /opt/conda/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds) 460 461 # Create the parser. --> 462 parser = TextFileReader(filepath_or_buffer, **kwds) 463 464 if chunksize or iterator: /opt/conda/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds) 817 self.options["has_index_names"] = kwds["has_index_names"] 818 --> 819 self._engine = self._make_engine(self.engine) 820 821 def close(self): /opt/conda/lib/python3.7/site-packages/pandas/io/parsers.py in _make_engine(self, engine) 1048 ) 1049 # error: Too many arguments for "ParserBase" -> 1050 return mapping[engine](self.f, **self.options) # type: ignore[call-arg] 1051 1052 def _failover_to_python(self): /opt/conda/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds) 1865 1866 # open handles -> 1867 self._open_handles(src, kwds) 1868 assert self.handles is not None 1869 for key in ("storage_options", "encoding", "memory_map", "compression"): /opt/conda/lib/python3.7/site-packages/pandas/io/parsers.py in _open_handles(self, src, kwds) 1366 compression=kwds.get("compression", None), 1367 memory_map=kwds.get("memory_map", False), -> 1368 storage_options=kwds.get("storage_options", None), 1369 ) 1370 /opt/conda/lib/python3.7/site-packages/pandas/io/common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 561 compression=compression, 562 mode=mode, --> 563 storage_options=storage_options, 564 ) 565 /opt/conda/lib/python3.7/site-packages/pandas/io/common.py in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 332 try: 333 file_obj = fsspec.open( --> 334 filepath_or_buffer, mode=fsspec_mode, **(storage_options or {}) 335 ).open() 336 # GH 34626 Reads from Public Buckets without Credentials needs anon=True /opt/conda/lib/python3.7/site-packages/fsspec/core.py in open(urlpath, mode, compression, encoding, errors, protocol, newline, **kwargs) 436 newline=newline, 437 expand=False, --> 438 **kwargs, 439 )[0] 440 /opt/conda/lib/python3.7/site-packages/fsspec/core.py in open_files(urlpath, mode, compression, encoding, errors, name_function, num, protocol, newline, auto_mkdir, expand, **kwargs) 285 storage_options=kwargs, 286 protocol=protocol, --> 287 expand=expand, 288 ) 289 if "r" not in mode and auto_mkdir: /opt/conda/lib/python3.7/site-packages/fsspec/core.py in get_fs_token_paths(urlpath, mode, num, name_function, storage_options, protocol, expand) 598 "share the same protocol" 599 ) --> 600 cls = get_filesystem_class(protocol) 601 optionss = list(map(cls._get_kwargs_from_urls, urlpath)) 602 paths = [cls._strip_protocol(u) for u in urlpath] /opt/conda/lib/python3.7/site-packages/fsspec/registry.py in get_filesystem_class(protocol) 211 register_implementation(protocol, _import_class(bit["class"])) 212 except ImportError as e: --> 213 raise ImportError(bit["err"]) from e 214 cls = registry[protocol] 215 if getattr(cls, "protocol", None) in ("abstract", None): ImportError: Please install gcsfs to access Google Storage
Yannick L. · Recensione inserita oltre 4 anni fa
Dmytro D. · Recensione inserita oltre 4 anni fa
bb
Jamil A. · Recensione inserita oltre 4 anni fa
Arun D. · Recensione inserita oltre 4 anni fa
Ratul G. · Recensione inserita oltre 4 anni fa
So Good!
Jinho S. · Recensione inserita oltre 4 anni fa
Manjunath S. · Recensione inserita oltre 4 anni fa
Brian L. · Recensione inserita oltre 4 anni fa
Albert-Jan K. · Recensione inserita oltre 4 anni fa
ImportError: Please install gcsfs to access Google Storage !pip install gcsfs Requirement already satisfied: gcsfs in /opt/conda/lib/python3.7/site-packages (0.8.0)
Anirban S. · Recensione inserita oltre 4 anni fa
it has too many error...
zeroone_ai z. · Recensione inserita oltre 4 anni fa
Sungbin Y. · Recensione inserita oltre 4 anni fa
RAHARIJAONA Z. · Recensione inserita oltre 4 anni fa
anup a. · Recensione inserita oltre 4 anni fa
Carlos E. · Recensione inserita oltre 4 anni fa
Something wrong with IMAGE_FAMILY="common-container" IMAGE_PROJECT="deeplearning-platform-release" INSTANCE_TYPE="n1-standard-4" METADATA="proxy-mode=service_account,container=$IMAGE_URI" gcloud compute instances create $INSTANCE_NAME \ --zone=$ZONE \ --image-family=$IMAGE_FAMILY \ --machine-type=$INSTANCE_TYPE \ --image-project=$IMAGE_PROJECT \ --maintenance-policy=TERMINATE \ --boot-disk-device-name=${INSTANCE_NAME}-disk \ --boot-disk-size=100GB \ --boot-disk-type=pd-ssd \ --scopes=cloud-platform,userinfo-email \ --metadata=$METADATA Said that, better to upgrade the exercise to explain directly how to create de Jupyterlab Environment directly from AI Platform
Sergio B. · Recensione inserita oltre 4 anni fa
Kiran B. · Recensione inserita oltre 4 anni fa
Non garantiamo che le recensioni pubblicate provengano da consumatori che hanno acquistato o utilizzato i prodotti. Le recensioni non sono verificate da Google.