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// ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// Copyright (c) 2018-2024 www.open3d.org
// SPDX-License-Identifier: MIT
// ----------------------------------------------------------------------------
#include <cmath>
#include <limits>
#include "open3d/core/AdvancedIndexing.h"
#include "open3d/core/Dtype.h"
#include "open3d/core/MemoryManager.h"
#include "open3d/core/SizeVector.h"
#include "open3d/core/Tensor.h"
#include "open3d/core/TensorList.h"
#include "open3d/core/kernel/Kernel.h"
#include "open3d/utility/Helper.h"
#include "tests/Tests.h"
#include "tests/core/CoreTest.h"
namespace open3d {
namespace tests {
class TensorObjectPermuteDevices : public PermuteDevicesWithSYCL {};
INSTANTIATE_TEST_SUITE_P(
TensorObject,
TensorObjectPermuteDevices,
testing::ValuesIn(TensorObjectPermuteDevices::TestCases()));
class TensorObjectPermuteDevicePairs : public PermuteDevicePairsWithSYCL {};
INSTANTIATE_TEST_SUITE_P(
TensorObject,
TensorObjectPermuteDevicePairs,
testing::ValuesIn(TensorObjectPermuteDevicePairs::TestCases()));
class TestObject {
public:
TestObject() = default;
TestObject(int val, void *ptr = nullptr) : val_(val), ptr_(ptr) {}
bool operator==(const TestObject &other) const {
return val_ == other.val_ && ptr_ == other.ptr_;
}
private:
int val_;
void *ptr_;
};
static_assert(std::is_pod<TestObject>(), "TestObject must be a POD.");
static const int64_t byte_size = sizeof(TestObject);
static const std::string class_name = "TestObject";
TEST_P(TensorObjectPermuteDevices, Constructor) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
for (const core::SizeVector &shape : std::vector<core::SizeVector>{
{}, {0}, {0, 0}, {0, 1}, {1, 0}, {2, 3}}) {
core::Tensor t(shape, dtype, device);
EXPECT_EQ(t.GetShape(), shape);
EXPECT_EQ(t.GetDtype(), dtype);
EXPECT_EQ(t.GetDtype().ToString(), class_name);
EXPECT_EQ(t.GetDtype().ByteSize(), byte_size);
EXPECT_EQ(t.GetDevice(), device);
}
EXPECT_ANY_THROW(core::Tensor({-1}, dtype, device));
EXPECT_ANY_THROW(core::Tensor({0, -2}, dtype, device));
EXPECT_ANY_THROW(core::Tensor({-1, -1}, dtype, device));
}
TEST_P(TensorObjectPermuteDevices, WithInitValueObject) {
core::Device device = GetParam();
core::Dtype dtype =
core::Dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
std::vector<TestObject> vals{TestObject(0), TestObject(1), TestObject(2),
TestObject(3), TestObject(4), TestObject(5)};
core::Tensor t(vals, {2, 3}, dtype, device);
EXPECT_EQ(t.ToFlatVector<TestObject>(), vals);
}
TEST_P(TensorObjectPermuteDevices, FillObject) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
core::Tensor t(std::vector<TestObject>(2 * 3, 0), {2, 3}, dtype, device);
t.FillObject(TestObject(1));
EXPECT_EQ(t.ToFlatVector<TestObject>(),
std::vector<TestObject>({1, 1, 1, 1, 1, 1}));
}
TEST_P(TensorObjectPermuteDevicePairs, IndexSetFillFancyObject) {
core::Device dst_device;
core::Device src_device;
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
std::tie(dst_device, src_device) = GetParam();
core::Tensor dst_t(std::vector<TestObject>(2 * 3 * 4, 0), {2, 3, 4}, dtype,
dst_device);
core::Tensor src_t(std::vector<TestObject>{1}, core::SizeVector({}), dtype,
src_device);
// t[:, [1, 2], [1, 2]]
std::vector<core::Tensor> indices = {
core::Tensor(core::SizeVector(), core::Int64, dst_device),
core::Tensor(std::vector<int64_t>({1, 2}), {2}, core::Int64,
src_device),
core::Tensor(std::vector<int64_t>({1, 2}), {2}, core::Int64,
dst_device)};
dst_t.IndexSet(indices, src_t);
EXPECT_EQ(dst_t.ToFlatVector<TestObject>(),
std::vector<TestObject>({0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0}));
}
TEST_P(TensorObjectPermuteDevicePairs, CopyObject) {
core::Device dst_device;
core::Device src_device;
std::tie(dst_device, src_device) = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
core::SizeVector shape{2, 3};
std::vector<TestObject> vals{0, 1, 2, 3, 4, 5};
core::Tensor src_t(vals, shape, dtype, src_device);
core::Tensor dst_t = src_t.To(dst_device);
EXPECT_EQ(dst_t.GetShape(), src_t.GetShape());
EXPECT_EQ(dst_t.GetDevice(), dst_device);
EXPECT_EQ(dst_t.GetDtype(), src_t.GetDtype());
EXPECT_EQ(dst_t.ToFlatVector<TestObject>(), vals);
}
TEST_P(TensorObjectPermuteDevicePairs, CopyBroadcastObject) {
core::Device dst_device;
core::Device src_device;
std::tie(dst_device, src_device) = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
// Broadcast {2, 1, 3} to {2, 2, 2, 3}
core::SizeVector src_shape{2, 1, 3};
core::SizeVector dst_shape{2, 2, 2, 3};
std::vector<TestObject> src_vals{0, 1, 2, 3, 4, 5};
std::vector<TestObject> dst_vals{0, 1, 2, 0, 1, 2, 3, 4, 5, 3, 4, 5,
0, 1, 2, 0, 1, 2, 3, 4, 5, 3, 4, 5};
core::Tensor src_t(src_vals, src_shape, dtype, src_device);
core::Tensor dst_t(dst_shape, dtype, dst_device);
dst_t.CopyFrom(src_t); // Equivalently, dst_t.AsRvalue() = src_t;
EXPECT_EQ(dst_t.GetShape(), dst_shape);
EXPECT_EQ(dst_t.ToFlatVector<TestObject>(), dst_vals);
}
TEST_P(TensorObjectPermuteDevices, ItemObject) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
std::vector<TestObject> vals{3, 7, 4};
core::Tensor t(vals, {3}, dtype, device);
core::Tensor t_0 = t[0];
EXPECT_THROW(t_0.Item<int>(), std::runtime_error);
EXPECT_THROW(t_0.Item<uint8_t>(), std::runtime_error);
EXPECT_EQ(t[0].Item<TestObject>(), TestObject(3));
EXPECT_EQ(t[1].Item<TestObject>(), TestObject(7));
EXPECT_EQ(t[2].Item<TestObject>(), TestObject(4));
}
TEST_P(TensorObjectPermuteDevices, ItemAssignObject) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
std::vector<TestObject> vals{0, 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23};
core::Tensor t(vals, {2, 3, 4}, dtype, device);
// Assigning to rvalue
TestObject new_val_0(100);
t[1][2][3].AssignObject(new_val_0);
EXPECT_EQ(t[1][2][3].Item<TestObject>(), TestObject(100));
}
TEST_P(TensorObjectPermuteDevices, IsSameObject) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
// "Shallow" copy.
core::Tensor t0 = core::Tensor::Empty({6, 8}, dtype, device);
core::Tensor t1 = t0; // "Shallow" copy
EXPECT_TRUE(t0.IsSame(t1));
EXPECT_TRUE(t1.IsSame(t0));
// Copy constructor copies view.
core::Tensor t0_copy_construct(t0);
EXPECT_TRUE(t0.IsSame(t0_copy_construct));
EXPECT_TRUE(t0_copy_construct.IsSame(t0));
// New tensor of the same value.
core::Tensor t2 = core::Tensor::Empty({6, 8}, dtype, device);
EXPECT_FALSE(t0.IsSame(t2));
EXPECT_FALSE(t2.IsSame(t0));
// Tensor::Contiguous() does not copy if already contiguous.
core::Tensor t0_contiguous = t0.Contiguous();
EXPECT_TRUE(t0.IsSame(t0_contiguous));
EXPECT_TRUE(t0_contiguous.IsSame(t0));
// Slices are views.
core::Tensor t0_slice = t0.GetItem({core::TensorKey::Slice(0, 5, 2)})[0];
// t0 [0:5:2][0]
core::Tensor t1_slice = t1[0];
EXPECT_TRUE(t0_slice.IsSame(t1_slice));
EXPECT_TRUE(t1_slice.IsSame(t0_slice));
// Explicit copy to the same device.
core::Tensor t0_copy = t0.To(device, /*copy=*/true);
EXPECT_FALSE(t0.IsSame(t0_copy));
EXPECT_FALSE(t0_copy.IsSame(t0));
// std::vector<Tensor> initializer list and push_back() are views.
std::vector<core::Tensor> vec{t0};
vec.push_back(t1);
EXPECT_TRUE(t0.IsSame(vec[0]));
EXPECT_TRUE(t1.IsSame(vec[1]));
EXPECT_TRUE(vec[0].IsSame(vec[1]));
}
TEST_P(TensorObjectPermuteDevices, ConstructFromObjectTensorVector) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
core::Tensor t0 = core::Tensor::Empty({2, 3}, dtype, device);
core::Tensor t1 = core::Tensor::Empty({2, 3}, dtype, device);
core::Tensor t2 = core::Tensor::Empty({2, 3}, dtype, device);
core::TensorList tl(std::vector<core::Tensor>({t0, t1, t2}));
// Check tensor list.
core::SizeVector full_shape({3, 2, 3});
EXPECT_EQ(tl.AsTensor().GetShape(), full_shape);
EXPECT_EQ(tl.GetSize(), 3);
EXPECT_EQ(tl.GetReservedSize(), 8);
// Values should be copied.
EXPECT_ANY_THROW(tl[0].AllClose(t0));
EXPECT_ANY_THROW(tl[1].AllClose(t1));
EXPECT_ANY_THROW(tl[2].AllClose(t2));
EXPECT_FALSE(tl[0].IsSame(t0));
EXPECT_FALSE(tl[1].IsSame(t1));
EXPECT_FALSE(tl[2].IsSame(t2));
}
TEST_P(TensorObjectPermuteDevices, TensorListFromObjectTensor) {
core::Device device = GetParam();
core::Dtype dtype(core::Dtype::DtypeCode::Object, byte_size, class_name);
core::Tensor t = core::Tensor::Empty({3, 4, 5}, dtype, device);
// Copied tensor.
core::TensorList tl = core::TensorList::FromTensor(t);
EXPECT_EQ(tl.GetElementShape(), core::SizeVector({4, 5}));
EXPECT_EQ(tl.GetSize(), 3);
EXPECT_EQ(tl.GetReservedSize(), 8);
EXPECT_ANY_THROW(tl.AsTensor().AllClose(t));
EXPECT_FALSE(tl.AsTensor().IsSame(t));
// Inplace tensor.
core::TensorList tl_inplace = core::TensorList::FromTensor(t, true);
EXPECT_EQ(tl_inplace.GetElementShape(), core::SizeVector({4, 5}));
EXPECT_EQ(tl_inplace.GetSize(), 3);
EXPECT_EQ(tl_inplace.GetReservedSize(), 3);
EXPECT_ANY_THROW(tl_inplace.AsTensor().AllClose(t));
EXPECT_TRUE(tl_inplace.AsTensor().IsSame(t));
}
} // namespace tests
} // namespace open3d
|
