codeislife99 commented on a change in pull request #7477: URL: https://github.com/apache/tvm/pull/7477#discussion_r583229740
########## File path: python/tvm/topi/sparse_reshape.py ########## @@ -0,0 +1,185 @@ +# 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, too-many-arguments, too-many-nested-blocks +"""Sparse_Reshape operator""" +from ..tir import decl_buffer, ir_builder, Cast +from ..te import extern, div, floordiv, floormod + + +def sparse_reshape( + sparse_indices, + prev_shape, + new_shape, + new_sparse_indices_shape, + new_shape_shape, +): + """ + Reshape a Sparse Tensor + Parameters + ---------- + sparse_indices : relay.Expr + A 2-D tensor[N, n_dim] of integers containing location of sparse values, where N is the + number of sparse values and n_dim is the number of dimensions of the dense_shape + prev_shape : relay.Expr + A 1-D tensor containing the previous shape of the dense tensor + new_shape : relay.Expr + A 1-D tensor containing the new shape of the dense tensor + Returns + ------- + result: relay.Expr + Output tensor. + Examples + -------- + .. code-block:: python + sparse_indices = [[0, 0, 0], + [0, 0, 1], + [0, 1, 0], + [1, 0, 0], + [1, 2, 3]] + prev_shape = [2, 3, 4] + new_shape = [9, -1] + new_sparse_indices, new_shape = relay.sparse_reshape(sparse_indices, + prev_shape, + new_shape) + new_sparse_indices = [[0, 0], + [0, 1], + [1, 2], + [4, 2], + [8, 1]] + new_shape = [9, 4] + """ + + def gen_ir( Review comment: 1. Yeah , you are right, I removed a few cases which I thought were redundant. 2. Parallelized the CPU loops . Thanks :) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
