Added Downsmpled_ImageNet .py files

Author: ChanchalKumarMaji

tensorflow_datasets/image/__init__.py

@@ -30,6 +30,7 @@
 from tensorflow_datasets.image.colorectal_histology import ColorectalHistologyLarge
 from tensorflow_datasets.image.cycle_gan import CycleGAN
 from tensorflow_datasets.image.diabetic_retinopathy_detection import DiabeticRetinopathyDetection
+from tensorflow_datasets.image.downsampled_imagenet import DownsampledImagenet
 from tensorflow_datasets.image.dsprites import Dsprites
 from tensorflow_datasets.image.dtd import Dtd
 from tensorflow_datasets.image.flowers import TFFlowers

tensorflow_datasets/image/downsampled_imagenet.py

@@ -0,0 +1,136 @@
+# coding=utf-8
+# Copyright 2019 The TensorFlow Datasets Authors.
+#
+# 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.
+
+"""Downsampled Imagenet dataset."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import os
+
+import tensorflow as tf
+
+from tensorflow_datasets.core import api_utils
+import tensorflow_datasets.public_api as tfds
+
+# From https://arxiv.org/abs/1601.06759
+_CITATION = """\
+@article{DBLP:journals/corr/OordKK16,
+  author    = {A{\"{a}}ron van den Oord and
+               Nal Kalchbrenner and
+               Koray Kavukcuoglu},
+  title     = {Pixel Recurrent Neural Networks},
+  journal   = {CoRR},
+  volume    = {abs/1601.06759},
+  year      = {2016},
+  url       = {http://arxiv.org/abs/1601.06759},
+  archivePrefix = {arXiv},
+  eprint    = {1601.06759},
+  timestamp = {Mon, 13 Aug 2018 16:46:29 +0200},
+  biburl    = {https://dblp.org/rec/bib/journals/corr/OordKK16},
+  bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+"""
+
+_DESCRIPTION = """\
+Dataset with images of 2 resolutions (see config name for information on the resolution). 
+It is used for density estimation and generative modeling experiments.
+"""
+
+_DL_URL = "http://image-net.org/small/"
+
+_DATA_OPTIONS = ["32x32", "64x64"]
+
+_DL_URLS_TRAIN = {name: _DL_URL + "train_" + name + ".tar" for name in _DATA_OPTIONS}
+_DL_URLS_VALIDATION = {name: _DL_URL + "valid_" + name + ".tar" for name in _DATA_OPTIONS}
+
+
+class DownsampledImagenetConfig(tfds.core.BuilderConfig):
+  """BuilderConfig for Downsampled Imagenet."""
+
+  @api_utils.disallow_positional_args
+  def __init__(self, data=None, **kwargs):
+    """Constructs a DownsampledImagenetConfig.
+
+    Args:
+      data: `str`, one of `_DATA_OPTIONS`.
+      **kwargs: keyword arguments forwarded to super.
+    """
+    if data not in _DATA_OPTIONS:
+      raise ValueError("data must be one of %s" % _DATA_OPTIONS)
+
+    super(DownsampledImagenetConfig, self).__init__(**kwargs)
+    self.data=data
+
+
+class DownsampledImagenet(tfds.core.GeneratorBasedBuilder):
+  """Downsampled Imagenet dataset."""
+
+  BUILDER_CONFIGS = [
+      DownsampledImagenetConfig(  # pylint: disable=g-complex-comprehension
+          name=config_name,
+          description=("A dataset consisting of Train and Validation images of " + config_name + " resolution."),
+          version="0.1.0",
+          data=config_name,
+      ) for config_name in _DATA_OPTIONS
+  ]
+
+  def _info(self):
+    return tfds.core.DatasetInfo(
+        builder=self,
+        description=_DESCRIPTION,
+        features=tfds.features.FeaturesDict({
+            "image": tfds.features.Image(),
+        }),
+        supervised_keys=None,
+        urls=[
+            "http://image-net.org/small/download.php"
+        ],
+    )
+
+  def _split_generators(self, dl_manager):
+    """Returns SplitGenerators."""
+
+    train_url = _DL_URLS_TRAIN[self.builder_config.name]
+    valid_url = _DL_URLS_VALIDATION[self.builder_config.name]
+
+    extracted_paths = dl_manager.download_and_extract({
+        "train_images": train_url,
+        "valid_images": valid_url,
+    })
+
+    return [
+        tfds.core.SplitGenerator(
+            name=tfds.Split.TRAIN,
+            num_shards=10,
+            gen_kwargs={
+                "path": os.path.join(extracted_paths["train_images"], "train_"+self.builder_config.name),
+            }),
+        tfds.core.SplitGenerator(
+            name=tfds.Split.VALIDATION,
+            num_shards=1,
+            gen_kwargs={
+                "path": os.path.join(extracted_paths["valid_images"], "valid_"+self.builder_config.name),
+            }),
+    ]
+
+  def _generate_examples(self, path):
+    images = tf.io.gfile.listdir(path)
+
+    for image in images:
+      yield {
+          "image": os.path.join(path, image),
+      }

tensorflow_datasets/image/downsampled_imagenet_test.py

@@ -0,0 +1,43 @@
+# coding=utf-8
+# Copyright 2019 The TensorFlow Datasets Authors.
+#
+# 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.
+
+"""Tests for downsampled_imagenet dataset module."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from tensorflow_datasets import testing
+from tensorflow_datasets.image import downsampled_imagenet
+
+import tensorflow_datasets as tfds
+
+
+class DownsampledImagenetTest(testing.DatasetBuilderTestCase):
+  DATASET_CLASS = downsampled_imagenet.DownsampledImagenet
+  BUILDER_CONFIG_NAMES_TO_TEST = ["32x32", "64x64"]
+  
+  SPLITS = {
+      tfds.Split.TRAIN: 5,
+      tfds.Split.VALIDATION: 2,
+  }
+
+  DL_EXTRACT_RESULT = {
+      "train_images": "train_images",
+      "valid_images": "valid_images",
+  }
+
+if __name__ == "__main__":
+  testing.test_main()