wehub-resource-sync
59 lines
1.8 KiB
C++
59 lines
1.8 KiB
C++
/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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#include <gtest/gtest.h>
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#include <tvm/runtime/logging.h>
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#include <tvm/te/operation.h>
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TEST(Tensor, Basic) {
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using namespace tvm;
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using namespace tvm::te;
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PrimVar m("m"), n("n"), l("l");
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Tensor A = placeholder({m, l}, PrimType::Float(32), "A");
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Tensor B = placeholder({n, l}, PrimType::Float(32), "B");
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auto C = compute({m, n}, [&](PrimVar i, PrimVar j) { return A[i][j]; }, "C");
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Tensor::Slice x = A[n];
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}
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TEST(Tensor, Reduce) {
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using namespace tvm;
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using namespace tvm::te;
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PrimVar m("m"), n("n"), l("l");
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te::Tensor A = te::placeholder({m, l}, PrimType::Float(32), "A");
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te::Tensor B = te::placeholder({n, l}, PrimType::Float(32), "B");
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IterVar rv = reduce_axis(Range{0, l}, "k");
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auto C = te::compute(
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{m, n}, [&](PrimVar i, PrimVar j) { return sum(max(1 + A[i][rv] + 1, B[j][rv]), {rv}); },
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"C");
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}
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TEST(Tensor, Indexing) {
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using namespace tvm;
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using namespace tvm::te;
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PrimVar x("x"), y("y");
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te::Tensor A = te::placeholder({x, y}, PrimType::Float(32), "A");
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}
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