op_empty_test.cpp

/*
 * 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/kernels/test/supported_features.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/core/exec_aten/util/scalar_type_util.h>

#include <gtest/gtest.h>

using namespace ::testing;
using executorch::aten::IntArrayRef;
using executorch::aten::MemoryFormat;
using executorch::aten::optional;
using executorch::aten::ScalarType;
using executorch::aten::Tensor;
using torch::executor::testing::TensorFactory;

class OpEmptyOutTest : public OperatorTest {
 protected:
  Tensor& op_empty_out(
      IntArrayRef size,
      optional<MemoryFormat> memory_format,
      Tensor& out) {
    return torch::executor::aten::empty_outf(
        context_, size, memory_format, out);
  }

  template <ScalarType DTYPE>
  void test_empty_out(std::vector<int32_t>&& size_int32_t) {
    TensorFactory<DTYPE> tf;
    std::vector<int64_t> sizes(size_int32_t.begin(), size_int32_t.end());
    auto aref = executorch::aten::ArrayRef<int64_t>(sizes.data(), sizes.size());
    optional<MemoryFormat> memory_format;
    Tensor out = tf.ones(size_int32_t);

    op_empty_out(aref, memory_format, out);
  }
};

#define GENERATE_TEST(_, DTYPE)                   \
  TEST_F(OpEmptyOutTest, DTYPE##Tensors) {        \
    test_empty_out<ScalarType::DTYPE>({2, 3, 4}); \
    test_empty_out<ScalarType::DTYPE>({2, 0, 4}); \
    test_empty_out<ScalarType::DTYPE>({});        \
  }

ET_FORALL_REAL_TYPES_AND(Bool, GENERATE_TEST)

TEST_F(OpEmptyOutTest, DynamicShapeUpperBoundSameAsExpected) {
  TensorFactory<ScalarType::Float> tf;

  int64_t sizes[2] = {3, 2};
  auto sizes_aref = executorch::aten::ArrayRef<int64_t>(sizes);
  optional<MemoryFormat> memory_format;
  Tensor out =
      tf.ones({3, 2}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
  op_empty_out(sizes_aref, memory_format, out);
}

TEST_F(OpEmptyOutTest, DynamicShapeUpperBoundLargerThanExpected) {
  TensorFactory<ScalarType::Float> tf;

  int64_t sizes[2] = {3, 2};
  auto sizes_aref = executorch::aten::ArrayRef<int64_t>(sizes);
  optional<MemoryFormat> memory_format;
  Tensor out =
      tf.ones({10, 10}, torch::executor::TensorShapeDynamism::DYNAMIC_BOUND);
  op_empty_out(sizes_aref, memory_format, out);
}

TEST_F(OpEmptyOutTest, DynamicShapeUnbound) {
  if (!torch::executor::testing::SupportedFeatures::get()->output_resize) {
    GTEST_SKIP() << "Dynamic shape unbound not supported";
  }
  TensorFactory<ScalarType::Float> tf;

  int64_t sizes[2] = {3, 2};
  auto sizes_aref = executorch::aten::ArrayRef<int64_t>(sizes);
  optional<MemoryFormat> memory_format;
  Tensor out =
      tf.ones({1, 1}, torch::executor::TensorShapeDynamism::DYNAMIC_UNBOUND);
  op_empty_out(sizes_aref, memory_format, out);
}