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| 1 | +/* |
| 2 | + * Copyright (c) Meta Platforms, Inc. and affiliates. |
| 3 | + * All rights reserved. |
| 4 | + * |
| 5 | + * This source code is licensed under the BSD-style license found in the |
| 6 | + * LICENSE file in the root directory of this source tree. |
| 7 | + */ |
| 8 | + |
| 9 | +#pragma once |
| 10 | + |
| 11 | +#include <executorch/kernels/test/TestUtil.h> |
| 12 | +#include <executorch/runtime/core/exec_aten/exec_aten.h> |
| 13 | +#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h> |
| 14 | +#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h> |
| 15 | + |
| 16 | +namespace torch::executor::testing { |
| 17 | +class BinaryLogicalOpTest : public OperatorTest { |
| 18 | + protected: |
| 19 | + // Implement this to call the torch::executor::aten::op_outf function for the |
| 20 | + // op. |
| 21 | + virtual exec_aten::Tensor& op_out( |
| 22 | + const exec_aten::Tensor& lhs, |
| 23 | + const exec_aten::Tensor& rhs, |
| 24 | + exec_aten::Tensor& out) = 0; |
| 25 | + |
| 26 | + // Scalar reference implementation of the function in question for testing. |
| 27 | + virtual double op_reference(double x, double y) const = 0; |
| 28 | + |
| 29 | + template < |
| 30 | + exec_aten::ScalarType IN_DTYPE, |
| 31 | + exec_aten::ScalarType IN_DTYPE2, |
| 32 | + exec_aten::ScalarType OUT_DTYPE> |
| 33 | + void test_op_out() { |
| 34 | + TensorFactory<IN_DTYPE> tf_in; |
| 35 | + TensorFactory<IN_DTYPE2> tf_in2; |
| 36 | + TensorFactory<OUT_DTYPE> tf_out; |
| 37 | + |
| 38 | + exec_aten::Tensor out = tf_out.zeros({1, 4}); |
| 39 | + |
| 40 | + using CTYPE1 = typename decltype(tf_in)::ctype; |
| 41 | + std::vector<CTYPE1> test_vector1 = {0, CTYPE1(-1), CTYPE1(0), CTYPE1(31)}; |
| 42 | + |
| 43 | + using CTYPE2 = typename decltype(tf_in2)::ctype; |
| 44 | + std::vector<CTYPE2> test_vector2 = { |
| 45 | + CTYPE2(0), |
| 46 | + CTYPE2(0), |
| 47 | + CTYPE2(15), |
| 48 | + CTYPE2(12), |
| 49 | + }; |
| 50 | + |
| 51 | + std::vector<typename decltype(tf_out)::ctype> expected_vector; |
| 52 | + for (int ii = 0; ii < test_vector1.size(); ++ii) { |
| 53 | + expected_vector.push_back( |
| 54 | + op_reference(test_vector1[ii], test_vector2[ii])); |
| 55 | + } |
| 56 | + |
| 57 | + op_out( |
| 58 | + tf_in.make({1, 4}, test_vector1), |
| 59 | + tf_in2.make({1, 4}, test_vector2), |
| 60 | + out); |
| 61 | + |
| 62 | + EXPECT_TENSOR_CLOSE(out, tf_out.make({1, 4}, expected_vector)); |
| 63 | + } |
| 64 | + |
| 65 | + void test_all_dtypes(); |
| 66 | +}; |
| 67 | + |
| 68 | +#define IMPLEMENT_BINARY_LOGICAL_OP_TEST(TestName) \ |
| 69 | + TEST_F(TestName, SimpleTestAllTypes) { \ |
| 70 | + test_all_dtypes(); \ |
| 71 | + } |
| 72 | +} // namespace torch::executor::testing |
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