# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""Sparse related tools."""
from mindspore.ops import operations as P
from ..cell import Cell
[docs]class SparseToDense(Cell):
"""
Convert a sparse tensor into dense.
Not yet supported by any backend at the moment.
Args:
sparse_tensor (SparseTensor): the sparse tensor to convert.
Returns:
Tensor, the tensor converted.
Examples:
>>> class SparseToDenseCell(nn.Cell):
>>> def __init__(self, dense_shape):
>>> super(SparseToDenseCell, self).__init__()
>>> self.dense_shape = dense_shape
>>> self.sparse_to_dense = nn.SparseToDense()
>>> def construct(self, indices, values):
>>> sparse = SparseTensor(indices, values, self.dense_shape)
>>> return self.sparse_to_dense(sparse)
>>>
>>> indices = Tensor([[0, 1], [1, 2]])
>>> values = Tensor([1, 2], dtype=ms.float32)
>>> dense_shape = (3, 4)
>>> SparseToDenseCell(dense_shape)(indices, values)
"""
def __init__(self):
super(SparseToDense, self).__init__()
self.sparse_to_dense = P.SparseToDense()
def construct(self, sparse_tensor):
return self.sparse_to_dense(sparse_tensor.indices,
sparse_tensor.values,
sparse_tensor.dense_shape)