# Copyright 2019 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from torch.utils.data import Dataset
import h5py
[docs]class HDF5TorchDataset(Dataset):
"""Pytorch Dataset subclass that takes a hdf5 file pointer."""
def __init__(self, file_path):
""".
Parameters
----------
file : file is an object of class h5py.File
"""
self.file_path = file_path
h5_file = h5py.File(file_path)
self.length = h5_file['X'].shape[0]
def __len__(self):
return self.length
def __getitem__(self, idx):
with h5py.File(self.file_path) as h5_file:
X = h5_file['X']
try:
y = h5_file['y']
except KeyError:
y = None
if y is None:
element = X[idx]
else:
element = X[idx], y[idx]
return element
[docs] def get_data(self):
with h5py.File(self.file_path) as h5_file:
X = h5_file['X'][:]
try:
y = h5_file['y'][:]
except KeyError:
y = None
if y is None:
return X
else:
return X, y