mirror of https://github.com/kendryte/nncase.git
94 lines
3.5 KiB
C++
94 lines
3.5 KiB
C++
/* Copyright 2019-2021 Canaan Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* 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, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "kernel_test.h"
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#include <gtest/gtest.h>
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#include <iostream>
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#include <nncase/kernels/stackvm/tensor_ops.h>
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#include <nncase/runtime/datatypes.h>
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#include <nncase/runtime/runtime_tensor.h>
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#include <nncase/runtime/simple_types.h>
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#include <nncase/runtime/stackvm/opcode.h>
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#include <ortki/operators.h>
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using namespace nncase;
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using namespace nncase::runtime;
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using namespace ortki;
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class BinaryTest : public KernelTest,
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public ::testing::TestWithParam<
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std::tuple<nncase::typecode_t, dims_t, dims_t>> {
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public:
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void SetUp() override {
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auto &&[typecode, l_shape, r_shape] = GetParam();
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lhs = hrt::create(typecode, l_shape, host_runtime_tensor::pool_cpu_only)
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.expect("create tensor failed");
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init_tensor(lhs);
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rhs = hrt::create(typecode, r_shape, host_runtime_tensor::pool_cpu_only)
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.expect("create tensor failed");
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init_tensor(rhs);
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}
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void TearDown() override {}
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protected:
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runtime_tensor lhs;
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runtime_tensor rhs;
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};
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INSTANTIATE_TEST_SUITE_P(
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Binary, BinaryTest,
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testing::Combine(testing::Values(dt_float32, dt_int32, dt_int64),
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testing::Values(dims_t{1, 3, 16, 16}, dims_t{3, 16, 16},
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dims_t{3, 16, 1}, dims_t{16, 16},
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dims_t{16, 1}, dims_t{1, 16, 1},
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dims_t{16}, dims_t{1}, dims_t{}),
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testing::Values(dims_t{1, 3, 16, 16}, dims_t{3, 16, 1},
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dims_t{3, 16, 1}, dims_t{16, 16},
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dims_t{1, 16, 1}, dims_t{16, 1},
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dims_t{16}, dims_t{1}, dims_t{})));
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TEST_P(BinaryTest, add) {
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auto l_ort = runtime_tensor_2_ort_tensor(lhs);
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auto r_ort = runtime_tensor_2_ort_tensor(rhs);
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// expected
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auto output_ort = ortki_Add(l_ort, r_ort);
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size_t size = 0;
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void *ptr_ort = tensor_buffer(output_ort, &size);
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dims_t shape(tensor_rank(output_ort));
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tensor_shape(output_ort, reinterpret_cast<int64_t *>(shape.data()));
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auto expected = hrt::create(lhs.datatype(), shape,
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{reinterpret_cast<gsl::byte *>(ptr_ort), size},
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true, host_runtime_tensor::pool_cpu_only)
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.expect("create tensor failed");
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// actual
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auto output =
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kernels::stackvm::binary(nncase::runtime::stackvm::binary_op_t::add,
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lhs.impl(), rhs.impl())
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.expect("binary failed");
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runtime_tensor actual(output.as<tensor>().expect("as tensor failed"));
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// compare
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EXPECT_TRUE(is_same_tensor(expected, actual) ||
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cosine_similarity_tensor(expected, actual));
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}
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int main(int argc, char *argv[]) {
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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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} |