# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # pylint: disable=invalid-name """TVM operator batch_to_space_nd compute.""" from . import cpp def batch_to_space_nd(data, block_shape, crop_begin_list, crop_end_list): """Perform space to batch transformation on the data Parameters ---------- data : tvm.te.Tensor N-D Tensor with shape [batch, spatial_shape, remaining_shapes], where spatial_shape has M dimensions. block_shape : list of ints list of size [M] where M is number of spatial dims, specifies block size for each spatial dimension. crop_begin_list : list of ints list of shape [M] where M is number of spatial dims, specifies begin crop size for each spatial dimension. crop_end_list : list of ints list of shape [M] where M is number of spatial dims, specifies end crop size for each spatial dimension. Returns ------- output : tvm.te.Tensor """ return cpp.nn.batch_to_space_nd(data, block_shape, crop_begin_list, crop_end_list)