blob: 71f2839db77c2fdd265d781cad8b072d18540e58 [file] [log] [blame]
/*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <executorch/kernels/test/FunctionHeaderWrapper.h> // Declares the operator
#include <executorch/kernels/test/TestUtil.h>
#include <executorch/runtime/core/exec_aten/exec_aten.h>
#include <executorch/runtime/core/exec_aten/testing_util/tensor_factory.h>
#include <executorch/runtime/core/exec_aten/testing_util/tensor_util.h>
#include <executorch/runtime/platform/runtime.h>
#include <gtest/gtest.h>
using namespace ::testing;
using exec_aten::IntArrayRef;
using exec_aten::ScalarType;
using exec_aten::Tensor;
using torch::executor::testing::TensorFactory;
Tensor& op_diagonal_copy_out(
const Tensor& input,
int64_t offset,
int64_t dim1,
int64_t dim2,
Tensor& out) {
exec_aten::RuntimeContext context{};
return torch::executor::aten::diagonal_copy_outf(
context, input, offset, dim1, dim2, out);
}
class OpDiagonalCopyOutTest : public ::testing::Test {
protected:
void SetUp() override {
// Since these tests cause ET_LOG to be called, the PAL must be initialized
// first.
torch::executor::runtime_init();
}
};
TEST_F(OpDiagonalCopyOutTest, SmokeTest2D) {
TensorFactory<ScalarType::Float> tfFloat;
Tensor input = tfFloat.make({3, 4}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
Tensor out = tfFloat.zeros({2});
Tensor out_expected = tfFloat.make({2}, {5, 10});
op_diagonal_copy_out(input, 1, 1, 0, out);
EXPECT_TENSOR_CLOSE(out, out_expected);
}
TEST_F(OpDiagonalCopyOutTest, SmokeTest3D) {
TensorFactory<ScalarType::Float> tfFloat;
Tensor input =
tfFloat.make({2, 3, 2}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
Tensor out = tfFloat.zeros({3, 1});
Tensor out_expected = tfFloat.make({3, 1}, {7, 9, 11});
op_diagonal_copy_out(input, -1, 0, -1, out);
EXPECT_TENSOR_CLOSE(out, out_expected);
}
TEST_F(OpDiagonalCopyOutTest, SmokeTest4D) {
TensorFactory<ScalarType::Float> tfFloat;
Tensor input =
tfFloat.make({2, 1, 2, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
Tensor out = tfFloat.zeros({1, 3, 2});
Tensor out_expected = tfFloat.make({1, 3, 2}, {1, 10, 2, 11, 3, 12});
op_diagonal_copy_out(input, 0, 0, 2, out);
EXPECT_TENSOR_CLOSE(out, out_expected);
}