in src/similarity/batch.py [0:0]
def input_fn(request_body, accept=INPUT_CONTENT_TYPE):
logger.info('Deserializing the generated input.')
if accept == INPUT_CONTENT_TYPE:
# logger.info(request_body)
logger.info(len(request_body))
logger.info(pickle.format_version)
logger.info(np.version.version)
request_body = gzip.decompress(request_body)
(names, tensors) = pickle.load(BytesIO(request_body), fix_imports=True)
global image_names
image_names = names
logger.info(tensors.shape)
logger.info(image_names)
return torch.from_numpy(tensors)
raise Exception('Requested unsupported ContentType: ' + accept)