def FetchBlob(name):
"""Fetches a blob from the workspace.
Inputs:
name: the name of the blob - a string or a BlobReference
Returns:
Fetched blob (numpy array or string) if successful
"""
return C.fetch_blob(StringifyBlobName(name))
def FetchBlob(name):
"""Fetches a blob from the workspace.
Inputs:
name: the name of the blob - a string or a BlobReference
Returns:
Fetched blob (numpy array or string) if successful
"""
return C.fetch_blob(StringifyBlobName(name))
def FetchBlob(name):
"""Fetches a blob from the workspace.
Inputs:
name: the name of the blob - a string or a BlobReference
Returns:
Fetched blob (numpy array or string) if successful
"""
result = C.fetch_blob(StringifyBlobName(name))
if isinstance(result, tuple):
raise TypeError("Use FetchInt8Blob to fetch Int8 Blob {}".format(
StringifyBlobName(name)))
return result
def FetchInt8BlobRealVal(name):
"""Fetches an Int8 blob from the workspace and return its real value representation.
Inputs:
name: the name of the Int8 blob - a string or a BlobReference
Returns:
real value representation of int8 numpy array
"""
result = C.fetch_blob(StringifyBlobName(name))
assert isinstance(result, tuple), \
'You are not fetching an Int8Blob {}. Please use FetchBlob'.format(
StringifyBlobName(name))
int8_blob = Int8Tensor(*result)
return (int8_blob.data.astype(np.int32) - int(int8_blob.zero_point)).astype(
np.float32) * int8_blob.scale
def FetchInt8Blob(name):
"""Fetches an Int8 blob from the workspace. It shared backend implementation
with FetchBlob but it is recommened when fetching Int8 Blobs
Inputs:
name: the name of the Int8 blob - a string or a BlobReference
Returns:
data: int8 numpy array, data
scale: float, fake quantization scale
zero_point: int, fake quantization offset
"""
result = C.fetch_blob(StringifyBlobName(name))
assert isinstance(result, tuple), \
'You are not fetching an Int8Blob {}. Please use FetchBlob'.format(
StringifyBlobName(name))
return Int8Tensor(*result)
def FetchBlob(name):
"""Fetches a blob from the workspace.
Inputs:
name: the name of the blob - a string or a BlobReference
Returns:
Fetched blob (numpy array or string) if successful
"""
result = C.fetch_blob(StringifyBlobName(name))
if isinstance(result, tuple):
raise TypeError(
"Use FetchInt8Blob to fetch Int8 Blob {}".format(
StringifyBlobName(name)
)
)
return result
def FetchInt8Blob(name):
"""Fetches an Int8 blob from the workspace. It shared backend implementation
with FetchBlob but it is recommened when fetching Int8 Blobs
Inputs:
name: the name of the Int8 blob - a string or a BlobReference
Returns:
data: int8 numpy array, data
scale: float, fake quantization scale
zero_point: int, fake quantization offset
"""
result = C.fetch_blob(StringifyBlobName(name))
assert isinstance(result, tuple), \
'You are not fetching an Int8Blob {}. Please use FetchBlob'.format(
StringifyBlobName(name))
return Int8Tensor(*result)
