/usr/local/lib/python3.6/site-packages/datasets/utils
Edit: /usr/local/lib/python3.6/site-packages/datasets/utils/tf_utils.py (2093B)
# Copyright 2022 The HuggingFace Datasets Authors and 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.
"""TF-specific utils import."""
import numpy as np
import pyarrow as pa
from .. import config
def minimal_tf_collate_fn(features):
if config.TF_AVAILABLE:
import tensorflow as tf
else:
raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.")
first = features[0]
batch = {}
for k, v in first.items():
if isinstance(v, np.ndarray):
batch[k] = np.stack([f[k] for f in features])
elif isinstance(v, tf.Tensor):
batch[k] = tf.stack([f[k] for f in features])
else:
batch[k] = np.array([f[k] for f in features])
return batch
def is_numeric_pa_type(pa_type):
if pa.types.is_list(pa_type):
return is_numeric_pa_type(pa_type.value_type)
return pa.types.is_integer(pa_type) or pa.types.is_floating(pa_type) or pa.types.is_decimal(pa_type)
def is_numeric_feature(feature):
from .. import ClassLabel, Sequence, Value
from ..features.features import _ArrayXD
if isinstance(feature, Sequence):
return is_numeric_feature(feature.feature)
elif isinstance(feature, list):
return is_numeric_feature(feature[0])
elif isinstance(feature, _ArrayXD):
return is_numeric_pa_type(feature().storage_dtype)
elif isinstance(feature, Value):
return is_numeric_pa_type(feature())
elif isinstance(feature, ClassLabel):
return True
else:
return False