ashishpatel26
commented
2 years ago Downloading and preparing dataset Unknown size (download: Unknown size, generated: Unknown size, total: Unknown size) to C:\Users\SHIVA\tensorflow_datasets\imagenet_resized\32x32\0.1.0... Dl Size...: 0 MiB [00:01, ? MiB/s] Dl Completed...: 0%| | 0/2 [00:01<?, ? url/s]
---------------------------------------------------------------------------
DownloadError Traceback (most recent call last)
<ipython-input-14-6cc7bc3ff103> in <module>
----> 1 ds = tfds.load("imagenet_resized/32x32", as_supervised=True)
2 ds_train = (ds["train"].cache().shuffle(5 * config.batch_size).batch(config.batch_size).prefetch(AUTOTUNE))
3 ds_test = (ds["validation"].cache().batch(config.batch_size).prefetch(AUTOTUNE))
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\load.py in load(name, split, data_dir, batch_size, shuffle_files, download, as_supervised, decoders, read_config, with_info, builder_kwargs, download_and_prepare_kwargs, as_dataset_kwargs, try_gcs)
316 if download:
317 download_and_prepare_kwargs = download_and_prepare_kwargs or {}
--> 318 dbuilder.download_and_prepare(**download_and_prepare_kwargs)
319
320 if as_dataset_kwargs is None:
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\dataset_builder.py in download_and_prepare(self, download_dir, download_config)
437 # Old version of TF are not os.PathLike compatible
438 with tf_compat.mock_gfile_pathlike():
--> 439 self._download_and_prepare(
440 dl_manager=dl_manager,
441 download_config=download_config,
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\dataset_builder.py in _download_and_prepare(self, dl_manager, download_config)
1111 else:
1112 optional_pipeline_kwargs = {}
-> 1113 split_generators = self._split_generators( # pylint: disable=unexpected-keyword-arg
1114 dl_manager, **optional_pipeline_kwargs)
1115 # TODO(tfds): Could be removed once all datasets are migrated.
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\image_classification\imagenet_resized.py in _split_generators(self, dl_manager)
98
99 if size in [8, 16, 32]:
--> 100 train_path, val_path = dl_manager.download([
101 '%s/Imagenet%d_train_npz.zip' % (_URL_PREFIX, size),
102 '%s/Imagenet%d_val_npz.zip' % (_URL_PREFIX, size)
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\download\download_manager.py in download(self, url_or_urls)
547 # Add progress bar to follow the download state
548 with self._downloader.tqdm():
--> 549 return _map_promise(self._download, url_or_urls)
550
551 def iter_archive(
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\download\download_manager.py in _map_promise(map_fn, all_inputs)
765 """Map the function into each element and resolve the promise."""
766 all_promises = tf.nest.map_structure(map_fn, all_inputs) # Apply the function
--> 767 res = tf.nest.map_structure(lambda p: p.get(), all_promises) # Wait promises
768
769 return res
~\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\util\nest.py in map_structure(func, *structure, **kwargs)
867
868 return pack_sequence_as(
--> 869 structure[0], [func(*x) for x in entries],
870 expand_composites=expand_composites)
871
~\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\util\nest.py in <listcomp>(.0)
867
868 return pack_sequence_as(
--> 869 structure[0], [func(*x) for x in entries],
870 expand_composites=expand_composites)
871
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\download\download_manager.py in <lambda>(p)
765 """Map the function into each element and resolve the promise."""
766 all_promises = tf.nest.map_structure(map_fn, all_inputs) # Apply the function
--> 767 res = tf.nest.map_structure(lambda p: p.get(), all_promises) # Wait promises
768
769 return res
~\miniconda3\envs\tf_gpu_251\lib\site-packages\promise\promise.py in get(self, timeout)
510 target = self._target()
511 self._wait(timeout or DEFAULT_TIMEOUT)
--> 512 return self._target_settled_value(_raise=True)
513
514 def _target_settled_value(self, _raise=False):
~\miniconda3\envs\tf_gpu_251\lib\site-packages\promise\promise.py in _target_settled_value(self, _raise)
514 def _target_settled_value(self, _raise=False):
515 # type: (bool) -> Any
--> 516 return self._target()._settled_value(_raise)
517
518 _value = _reason = _target_settled_value
~\miniconda3\envs\tf_gpu_251\lib\site-packages\promise\promise.py in _settled_value(self, _raise)
224 if _raise:
225 raise_val = self._fulfillment_handler0
--> 226 reraise(type(raise_val), raise_val, self._traceback)
227 return self._fulfillment_handler0
228
~\miniconda3\envs\tf_gpu_251\lib\site-packages\six.py in reraise(tp, value, tb)
701 if value.__traceback__ is not tb:
702 raise value.with_traceback(tb)
--> 703 raise value
704 finally:
705 value = None
~\miniconda3\envs\tf_gpu_251\lib\site-packages\promise\promise.py in handle_future_result(future)
842 # type: (Any) -> None
843 try:
--> 844 resolve(future.result())
845 except Exception as e:
846 tb = exc_info()[2]
~\miniconda3\envs\tf_gpu_251\lib\concurrent\futures\_base.py in result(self, timeout)
430 raise CancelledError()
431 elif self._state == FINISHED:
--> 432 return self.__get_result()
433
434 self._condition.wait(timeout)
~\miniconda3\envs\tf_gpu_251\lib\concurrent\futures\_base.py in __get_result(self)
386 def __get_result(self):
387 if self._exception:
--> 388 raise self._exception
389 else:
390 return self._result
~\miniconda3\envs\tf_gpu_251\lib\concurrent\futures\thread.py in run(self)
55
56 try:
---> 57 result = self.fn(*self.args, **self.kwargs)
58 except BaseException as exc:
59 self.future.set_exception(exc)
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\download\downloader.py in _sync_download(self, url, destination_path, verify)
214 pass
215
--> 216 with _open_url(url, verify=verify) as (response, iter_content):
217 fname = _get_filename(response)
218 path = os.path.join(destination_path, fname)
~\miniconda3\envs\tf_gpu_251\lib\contextlib.py in __enter__(self)
111 del self.args, self.kwds, self.func
112 try:
--> 113 return next(self.gen)
114 except StopIteration:
115 raise RuntimeError("generator didn't yield") from None
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\download\downloader.py in _open_with_requests(url, **kwargs)
276 url = _get_drive_url(url, session)
277 with session.get(url, stream=True, **kwargs) as response:
--> 278 _assert_status(response)
279 yield (response, response.iter_content(chunk_size=io.DEFAULT_BUFFER_SIZE))
280
~\miniconda3\envs\tf_gpu_251\lib\site-packages\tensorflow_datasets\core\download\downloader.py in _assert_status(response)
307 """Ensure the URL response is 200."""
308 if response.status_code != 200:
--> 309 raise DownloadError('Failed to get url {}. HTTP code: {}.'.format(
310 response.url, response.status_code))
DownloadError: Failed to get url https://image-net.org/image/downsample/Imagenet32_train_npz.zip. HTTP code: 404.
this model is giving me arror when I update the embedding dimension to 512 and MLP dimension to 512. can you please look into this