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// ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// The MIT License (MIT)
//
// Copyright (c) 2018-2021 www.open3d.org
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
// IN THE SOFTWARE.
// ----------------------------------------------------------------------------
#include "open3d/t/geometry/TensorMap.h"
#include <vector>
#include "tests/Tests.h"
#include "tests/core/CoreTest.h"
namespace open3d {
namespace tests {
class TensorMapPermuteDevices : public PermuteDevices {};
INSTANTIATE_TEST_SUITE_P(TensorMap,
TensorMapPermuteDevices,
testing::ValuesIn(PermuteDevices::TestCases()));
TEST_P(TensorMapPermuteDevices, Constructor) {
core::Dtype dtype = core::Float32;
core::Device device = GetParam();
// Empty TensorMap.
t::geometry::TensorMap tm0("positions");
EXPECT_EQ(tm0.GetPrimaryKey(), "positions");
EXPECT_EQ(tm0.size(), 0);
// Primary key is required.
EXPECT_ANY_THROW(t::geometry::TensorMap());
// Iterators.
std::map<std::string, core::Tensor> tensor_map(
{{"positions", core::Tensor::Zeros({10, 3}, dtype, device)},
{"colors", core::Tensor::Ones({10, 3}, dtype, device)}});
t::geometry::TensorMap tm1("positions", tensor_map.begin(),
tensor_map.end());
EXPECT_TRUE(tm1["positions"].IsSame(tensor_map["positions"]));
EXPECT_TRUE(tm1["colors"].IsSame(tensor_map["colors"]));
// Initializer list.
t::geometry::TensorMap tm2(
"positions",
{{"positions", core::Tensor::Zeros({10, 3}, dtype, device)},
{"colors", core::Tensor::Ones({10, 3}, dtype, device)}});
// Move constructor, Tensors are shallow copied.
t::geometry::TensorMap tm2_copied(tm2);
EXPECT_TRUE(tm2_copied["positions"].IsSame(tm2["positions"]));
EXPECT_TRUE(tm2_copied["colors"].IsSame(tm2["colors"]));
// Move constructor, Tensors are shallow copied.
t::geometry::TensorMap tm2_moved = std::move(tm2);
EXPECT_TRUE(tm2_moved["positions"].IsSame(tm2["positions"]));
EXPECT_TRUE(tm2_moved["colors"].IsSame(tm2["colors"]));
}
TEST_P(TensorMapPermuteDevices, IsSizeSynchronized) {
core::Dtype dtype = core::Float32;
core::Device device = GetParam();
t::geometry::TensorMap tm(
"positions",
{{"positions", core::Tensor::Zeros({5, 3}, dtype, device)},
{"colors", core::Tensor::Ones({10, 3}, dtype, device)}});
EXPECT_FALSE(tm.IsSizeSynchronized());
tm["colors"] = core::Tensor::Ones({5, 3}, dtype, device);
EXPECT_TRUE(tm.IsSizeSynchronized());
}
TEST_P(TensorMapPermuteDevices, AssertSizeSynchronized) {
core::Dtype dtype = core::Float32;
core::Device device = GetParam();
t::geometry::TensorMap tm(
"positions",
{{"positions", core::Tensor::Zeros({5, 3}, dtype, device)},
{"colors", core::Tensor::Ones({10, 3}, dtype, device)}});
EXPECT_ANY_THROW(tm.AssertSizeSynchronized());
tm["colors"] = core::Tensor::Ones({5, 3}, dtype, device);
tm.AssertSizeSynchronized();
}
TEST_P(TensorMapPermuteDevices, Contains) {
core::Dtype dtype = core::Float32;
core::Device device = GetParam();
t::geometry::TensorMap tm(
"positions",
{{"positions", core::Tensor::Zeros({5, 3}, dtype, device)},
{"colors", core::Tensor::Ones({10, 3}, dtype, device)}});
EXPECT_TRUE(tm.Contains("positions"));
EXPECT_TRUE(tm.Contains("colors"));
EXPECT_FALSE(tm.Contains("normals"));
}
} // namespace tests
} // namespace open3d
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