/* * 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. */ #include <dmlc/logging.h> #include <gtest/gtest.h> #include <tvm/tvm.h> TEST(Tensor, Basic) { using namespace tvm; Var m("m"), n("n"), l("l"); Tensor A = placeholder({m, l}, Float(32), "A"); Tensor B = placeholder({n, l}, Float(32), "B"); auto C = compute({m, n}, [&](Var i, Var j) { return A[i][j]; }, "C"); Tensor::Slice x = A[n]; } TEST(Tensor, Reduce) { using namespace tvm; Var m("m"), n("n"), l("l"); Tensor A = placeholder({m, l}, Float(32), "A"); Tensor B = placeholder({n, l}, Float(32), "B"); IterVar rv = reduce_axis(Range{0, l}, "k"); auto C = compute({m, n}, [&](Var i, Var j) { return sum(max(1 + A[i][rv] + 1, B[j][rv]), {rv}); }, "C"); LOG(INFO) << C->op.as<ComputeOpNode>()->body; } int main(int argc, char ** argv) { testing::InitGoogleTest(&argc, argv); testing::FLAGS_gtest_death_test_style = "threadsafe"; return RUN_ALL_TESTS(); }