def __init__(self, path):
super().__init__(path)
self.path = path
_, self.bucket_name, self.prefix_name = is_s3(path)
self.s3_handler = S3Handler()
self.index_file_cache = ReadIndexFilesCache()
def help_test_multiple_trials(num_steps=20, num_tensors=10):
trial_name = str(uuid.uuid4())
bucket = "smdebug-testing"
path = "s3://" + os.path.join(bucket, "outputs/")
c = CollectionManager()
c.add("default")
c.get("default").tensor_names = [
"foo_" + str(i) for i in range(num_tensors)
]
c.export(path + trial_name, DEFAULT_COLLECTIONS_FILE_NAME)
c.export(path + trial_name, DEFAULT_COLLECTIONS_FILE_NAME)
for i in range(num_steps):
generate_data(
path=path,
trial=trial_name,
num_tensors=num_tensors,
step=i,
tname_prefix="foo",
worker="algo-1",
shape=(3, 3, 3),
rank=0,
)
_, bucket, prefix = is_s3(os.path.join(path, trial_name))
trial_obj = S3Trial(name=prefix, bucket_name=bucket, prefix_name=prefix)
return trial_obj, trial_name
def use_s3_datasets():
s3 = boto3.resource("s3")
_, bucket, _ = is_s3(TEST_DATASET_S3_PATH)
try:
s3.meta.client.head_bucket(Bucket=bucket)
return True
except Exception:
return False
def test_s3_training_end():
s3dir = "s3://smdebugcodebuildtest/training_end_test_dir"
_, bucket, key = is_s3(s3dir)
f = TSAccessS3(bucket_name=bucket, key_name=key)
f.close()
training_has_ended(s3dir)
assert has_training_ended(s3dir) is True
delete_s3_prefixes(bucket, key)
def __init__(self, path, start=0, length=None):
self.is_s3, self.bucket, self.path = is_s3(path)
if not self.is_s3:
self.path = path
self.bucket = None
assert start >= 0 and (start == 0 or length is not None)
self.start = start
self.length = length
self.download_entire_file = self.start == 0 and self.length is None
def test_s3_training_end():
s3key = str(uuid.uuid4())
s3dir = f"s3://smdebugcodebuildtest/ok_to_delete_{s3key}"
_, bucket, key = is_s3(s3dir)
f = TSAccessS3(bucket_name=bucket, key_name=key)
f.close()
training_has_ended(s3dir)
assert has_training_ended(s3dir) is True
delete_s3_prefixes(bucket, key)
def __init__(self, path, write_checksum):
self.write_checksum = write_checksum
s3, bucket_name, key_name = is_s3(path)
try:
if s3:
self._writer = TSAccessS3(bucket_name, key_name)
else:
self._writer = TSAccessFile(path, "wb")
except (OSError, IOError) as err:
raise ValueError("failed to open {}: {}".format(path, str(err)))
def helper_test_mnist_trial(trial_dir):
tr = create_trial(trial_dir)
assert len(tr.steps()) == 3
assert len(tr.steps(mode=smd.modes.TRAIN)) == 2
assert len(tr.steps(mode=smd.modes.EVAL)) == 1
assert len(tr.tensor_names()) == 13
on_s3, bucket, prefix = is_s3(trial_dir)
if not on_s3:
shutil.rmtree(trial_dir, ignore_errors=True)
else:
delete_s3_prefix(bucket, prefix)
def create_trial(path, name=None, **kwargs):
if name is None:
name = os.path.basename(path)
s3, bucket_name, prefix_name = is_s3(path)
if s3:
return S3Trial(name=name,
bucket_name=bucket_name,
prefix_name=prefix_name,
**kwargs)
else:
return LocalTrial(name=name, dirname=path, **kwargs)
def __init__(self, path, start=None, length=None):
self.is_s3, self.bucket, self.key = is_s3(path)
if not self.is_s3:
self.key = path
self.bucket = None
if start is None:
self.start = 0
else:
self.start = start
self.length = length
self.download_entire_file = start is None
def delete_prefix(path=None, delete_request=None):
if path is not None and delete_request is not None:
raise ValueError(
"Only one of path or delete_request can be passed")
elif path is not None:
on_s3, bucket, prefix = is_s3(path)
if on_s3 is False:
raise ValueError("Given path is not an S3 location")
delete_requests = [DeleteRequest(bucket, prefix)]
S3Handler.delete_prefixes(delete_requests)
elif delete_request is not None:
S3Handler.delete_prefixes([delete_request])
def __init__(self, path):
s3, bucket_name, key_name = is_s3(path)
try:
if s3:
self._reader = TSAccessS3(bucket_name, key_name)
else:
self._reader = TSAccessFile(path, "rb")
except (OSError, IOError) as err:
raise ValueError("failed to open {}: {}".format(path, str(err)))
except:
raise
self._reader.ingest_all()
def create_trial(path, name=None, **kwargs):
path = path.strip(
) # Remove any accidental leading/trailing whitespace input by the user
if name is None:
name = os.path.basename(path)
s3, bucket_name, prefix_name = is_s3(path)
if s3:
return S3Trial(name=name,
bucket_name=bucket_name,
prefix_name=prefix_name,
**kwargs)
else:
return LocalTrial(name=name, dirname=path, **kwargs)
def helper_test_multi_save_configs_trial(trial_dir):
tr = create_trial(trial_dir)
print(tr.steps(), tr.steps(mode=smd.modes.TRAIN),
tr.steps(mode=smd.modes.EVAL))
assert len(tr.steps()) == 4
assert len(tr.steps(mode=smd.modes.TRAIN)) == 3
assert len(tr.steps(mode=smd.modes.EVAL)) == 1
assert len(tr.tensor_names()) == 1
on_s3, bucket, prefix = is_s3(trial_dir)
if not on_s3:
shutil.rmtree(trial_dir)
else:
delete_s3_prefix(bucket, prefix)
def open(self, file_path):
"""
Open the trace event file
"""
s3, bucket_name, key_name = is_s3(file_path)
try:
if s3:
self._writer = TSAccessS3(bucket_name, key_name, binary=False)
else:
self._writer = TSAccessFile(file_path, "w")
except (OSError, IOError) as err:
logger.debug(
f"Sagemaker-Debugger: failed to open {file_path}: {str(err)}")
start, length = self._writer.write("[\n")
self.bytes_written += length
def test_parse_worker_name_from_collection_file():
path = "s3://smdebug-testing/resources/one-index-file"
_, bucket_name, key_name = is_s3(path)
collection_files, _ = list_s3_objects(bucket_name, get_path_to_collections(key_name))
assert len(collection_files) == 1
collection_file = collection_files[0]
worker_name = get_worker_name_from_collection_file(collection_file)
assert worker_name == "/job:worker/replica:0/task:1/device:GPU:0"
file_name = "/tmp/collections/000000000/job-worker_1_collections.json"
worker_name = get_worker_name_from_collection_file(file_name)
assert worker_name == "job-worker_1"
def test_parse_worker_name_from_index_file():
filename = "/tmp/ts-logs/index/000000001/000000001230_worker_2.json"
worker_name = parse_worker_name_from_file(filename)
assert worker_name == "worker_2"
filename = "/tmp/ts-logs/index/000000000499__job-worker_replica-0_task-1_device-GPU-6.json"
worker_name = parse_worker_name_from_file(filename)
assert worker_name == "/job:worker/replica:0/task:1/device:GPU:6"
path = "s3://smdebug-testing/resources/one-index-file"
_, bucket, prefix = is_s3(path)
index_reader = S3IndexReader(path)
index_files, _ = index_reader.list_index_files()
filename = index_files[0]
worker_name = parse_worker_name_from_file(filename)
assert worker_name == "/job:worker/replica:0/task:1/device:GPU:4"
def file_exists(file_path):
s3, bucket_name, key_name = is_s3(file_path)
if s3:
try:
request = ListRequest(bucket_name, key_name)
file_available = S3Handler.list_prefixes([request])[0]
if len(file_available) > 0:
return True
else:
return False
except ClientError as ex:
status_code = ex.response["ResponseMetadata"]["HTTPStatusCode"]
logger.info(f"Client error occurred : {ex}")
if status_code.startswith("4"):
raise ex
else:
return False
else:
return os.path.exists(file_path)
def has_training_ended(trial_prefix):
file_path = os.path.join(trial_prefix, END_OF_JOB_FILENAME)
s3, bucket_name, key_name = is_s3(file_path)
if s3:
try:
s3_handler = S3Handler()
request = ListRequest(bucket_name, key_name)
file_available = s3_handler.list_prefixes([request])[0]
if len(file_available) > 0:
return True
else:
return False
except ClientError as ex:
status_code = ex.response["ResponseMetadata"]["HTTPStatusCode"]
logger.info(f"Client error occurred : {ex}")
if status_code.startswith("4"):
raise ex
else:
return False
else:
return os.path.exists(file_path)
def create_trial(path,
name=None,
profiler=False,
output_dir="/opt/ml/processing/outputs/",
**kwargs):
path = path.strip(
) # Remove any accidental leading/trailing whitespace input by the user
if name is None:
name = os.path.basename(path)
s3, bucket_name, prefix_name = is_s3(path)
if profiler:
return ProfilerTrial(name=name,
trial_dir=path,
output_dir=output_dir,
**kwargs)
if s3:
return S3Trial(name=name,
bucket_name=bucket_name,
prefix_name=prefix_name,
**kwargs)
else:
return LocalTrial(name=name, dirname=path, **kwargs)
def check_dir_exists(path):
from smdebug.core.access_layer.s3handler import S3Handler, ListRequest
s3, bucket_name, key_name = is_s3(path)
if s3:
try:
request = ListRequest(bucket_name, key_name)
folder = S3Handler.list_prefixes([request])[0]
if len(folder) > 0 and has_training_ended(folder[-1]):
raise RuntimeError("The path:{} already exists on s3. "
"Please provide a directory path that does "
"not already exist.".format(path))
except ClientError as ex:
if ex.response["Error"]["Code"] == "NoSuchBucket":
# then we do not need to raise any error
pass
else:
# do not know the error
raise ex
elif os.path.exists(path) and has_training_ended(path):
raise RuntimeError("The path:{} already exists on local disk. "
"Please provide a directory path that does "
"not already exist".format(path))
def training_has_ended(trial_prefix):
# Emit the end of training file only if the job is not running under SageMaker.
if is_sagemaker_job():
logger.info(
f"The end of training job file will not be written for jobs running under SageMaker."
)
return
try:
check_dir_exists(trial_prefix)
# if path does not exist, then we don't need to write a file
except RuntimeError:
# dir exists
pass
file_path = os.path.join(trial_prefix, END_OF_JOB_FILENAME)
s3, bucket_name, key_name = is_s3(file_path)
if s3:
writer = TSAccessS3(bucket_name, key_name, binary=False)
else:
writer = TSAccessFile(file_path, "a+")
writer.flush()
try:
writer.close()
except OSError:
"""
def test_s3():
rval = is_s3("s3://a/b")
assert rval[0]
assert rval[1] == "a"
assert rval[2] == "b"
def test_normal():
rval = is_s3("a/b/c")
assert not rval[0]
def _init_writer(self):
s3, bucket_name, key_name = is_s3(self.file_path)
if s3:
self.writer = TSAccessS3(bucket_name, key_name, binary=False)
else:
self.writer = TSAccessFile(self.file_path, "a+")
def test_s3_noprefix2():
rval = is_s3("s3://a/")
assert rval[0]
assert rval[1] == "a"
assert rval[2] == ""
def _is_event_file_present(self, file):
event_files = self.list_event_files()
_, _, prefix = is_s3(file)
return prefix in set(event_files)
def check_s3_trial(path, num_steps=20, num_tensors=10):
_, bucket, prefix = is_s3(path)
trial_obj = S3Trial(name=prefix, bucket_name=bucket, prefix_name=prefix)
check_trial(trial_obj, num_steps=num_steps, num_tensors=num_tensors)
