mirror of https://github.com/kendryte/nncase.git
102 lines
3.1 KiB
C++
102 lines
3.1 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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#define TEST_CASE_NAME "test_unary_other_type"
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class UnaryTest : public KernelTest,
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public ::testing::TestWithParam<std::tuple<int>> {
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public:
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void SetUp() override {
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READY_SUBCASE()
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auto typecode = GetDataType("other_type");
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auto l_shape = GetShapeArray("i_shape");
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input =
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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(input);
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}
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void TearDown() override {}
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protected:
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runtime_tensor input;
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};
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INSTANTIATE_TEST_SUITE_P(Unary, UnaryTest,
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testing::Combine(testing::Range(0, MAX_CASE_NUM)));
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TEST_P(UnaryTest, ceil) {
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OrtKITensor *orts[1];
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orts[0] = runtime_tensor_2_ort_tensor(input);
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// expected
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auto output_ort = ortki_Ceil(orts[0]);
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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(input.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 = kernels::stackvm::unary(
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nncase::runtime::stackvm::unary_op_t::ceil, input.impl())
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.expect("unary failed");
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runtime_tensor actual(output.as<tensor>().expect("as tensor failed"));
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bool result = is_same_tensor(expected, actual) ||
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cosine_similarity_tensor(expected, actual);
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if (!result) {
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std::cout << "actual ";
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print_runtime_tensor(actual);
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std::cout << "expected ";
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print_runtime_tensor(expected);
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}
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// compare
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EXPECT_TRUE(result);
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}
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int main(int argc, char *argv[]) {
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READY_TEST_CASE_GENERATE()
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FOR_LOOP(other_type, i)
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FOR_LOOP(i_shape, j)
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SPLIT_ELEMENT(other_type, i)
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SPLIT_ELEMENT(i_shape, j)
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WRITE_SUB_CASE()
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FOR_LOOP_END()
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FOR_LOOP_END()
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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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} |