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TheRock/rocm-libraries/projects/miopen/test/gtest/tensor_test.cpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

301 lines
13 KiB
C++

/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2024 Advanced Micro Devices, Inc.
*
* 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 <miopen/miopen.h>
#include <miopen/tensor.hpp>
#include <miopen/datatype.hpp>
#include <gtest/gtest.h>
namespace {
struct TestCase
{
std::vector<int> lens;
std::vector<int> strides;
miopenDataType_t datatype;
bool packed;
std::string name;
std::function<miopenStatus_t(miopenTensorDescriptor_t,
miopenDataType_t,
const std::vector<int>&,
const std::vector<int>&)>
setDecriptor;
miopenStatus_t SetDecriptor(miopenTensorDescriptor_t tensor) const
{
return setDecriptor(tensor, datatype, lens, strides);
}
int Size() const noexcept { return static_cast<int>(lens.size()); }
friend std::ostream& operator<<(std::ostream& os, const TestCase& tc)
{
os << tc.name << (tc.packed ? "_packed" : "_non-packed") << " lens: ";
std::copy(tc.lens.begin(), tc.lens.end(), std::ostream_iterator<int>(os, "x"));
os << " strides: ";
std::copy(tc.strides.begin(), tc.strides.end(), std::ostream_iterator<int>(os, "x"));
return os;
}
};
miopenStatus_t fixture_nxd(miopenTensorDescriptor_t tensor,
miopenDataType_t datatype,
const std::vector<int>& lens,
const std::vector<int>&)
{
return miopenSetTensorDescriptor(tensor, datatype, lens.size(), lens.data(), nullptr);
};
miopenStatus_t fixture_nxd_strides(miopenTensorDescriptor_t tensor,
miopenDataType_t datatype,
const std::vector<int>& lens,
const std::vector<int>& strides)
{
return miopenSetTensorDescriptor(tensor, datatype, lens.size(), lens.data(), strides.data());
};
miopenStatus_t fixture_n4d_vector(miopenTensorDescriptor_t tensor,
miopenDataType_t datatype,
const std::vector<int>& lens,
const std::vector<int>&)
{
auto vec_lens = lens;
vec_lens[1] *= 4;
return miopenSetNdTensorDescriptorWithLayout(
tensor, datatype, miopenTensorNCHWc4, vec_lens.data(), vec_lens.size());
};
miopenStatus_t fixture_n4d(miopenTensorDescriptor_t tensor,
miopenDataType_t datatype,
const std::vector<int>& lens,
const std::vector<int>&)
{
return lens.size() == 4
? miopenSet4dTensorDescriptor(tensor, datatype, lens[0], lens[1], lens[2], lens[3])
: miopenStatusBadParm;
};
class CPU_tensor_nxd_NONE : public ::testing::TestWithParam<TestCase>
{
public:
static void SetUpTestSuite()
{
miopenTensorDescriptor_t tensor;
ASSERT_EQ(miopenCreateTensorDescriptor(&tensor), miopenStatusSuccess);
ASSERT_EQ(miopenSet4dTensorDescriptor(tensor, miopenHalf, 100, 32, 8, 8),
miopenStatusSuccess);
ASSERT_EQ(miopenDestroyTensorDescriptor(tensor), miopenStatusSuccess);
testing::internal::CaptureStderr();
ASSERT_NE(miopenSet4dTensorDescriptor(nullptr, miopenHalf, 100, 32, 8, 8),
miopenStatusSuccess);
const std::string stderr_output = testing::internal::GetCapturedStderr();
EXPECT_TRUE(stderr_output.find("MIOpen Error") != std::string::npos &&
stderr_output.find("Dereferencing nullptr") != std::string::npos);
}
protected:
miopenTensorDescriptor_t tensor;
void SetUp() override
{
ASSERT_EQ(miopenCreateTensorDescriptor(&tensor), miopenStatusSuccess);
ASSERT_NE(tensor, nullptr);
ASSERT_EQ(GetParam().SetDecriptor(tensor), miopenStatusSuccess);
int size;
ASSERT_EQ(miopenGetTensorDescriptorSize(tensor, &size), miopenStatusSuccess);
ASSERT_EQ(size, GetParam().Size());
EXPECT_EQ(miopen::get_object(*tensor).IsPacked(), GetParam().packed);
}
void TearDown() override
{
ASSERT_EQ(miopenDestroyTensorDescriptor(tensor), miopenStatusSuccess);
}
};
} // namespace
TEST_P(CPU_tensor_nxd_NONE, TestGetTensor)
{
std::vector<int> lens(GetParam().Size(), 0);
std::vector<int> strides(GetParam().Size(), 0);
miopenDataType_t dt;
ASSERT_EQ(miopenGetTensorDescriptor(tensor, &dt, lens.data(), strides.data()),
miopenStatusSuccess);
EXPECT_EQ(dt, GetParam().datatype);
EXPECT_EQ(lens, GetParam().lens);
EXPECT_EQ(strides, GetParam().strides);
};
TEST_P(CPU_tensor_nxd_NONE, TestGetTensorLengths)
{
std::vector<int> lens(GetParam().Size(), 0);
miopenDataType_t dt;
ASSERT_EQ(miopenGetTensorDescriptor(tensor, &dt, lens.data(), nullptr), miopenStatusSuccess);
EXPECT_EQ(dt, GetParam().datatype);
EXPECT_EQ(lens, GetParam().lens);
const auto& l = miopen::get_object(*tensor).GetLengths();
std::copy(l.begin(), l.end(), lens.begin());
EXPECT_EQ(lens, GetParam().lens);
};
TEST_P(CPU_tensor_nxd_NONE, TestGetTensorStrides)
{
std::vector<int> strides(GetParam().Size(), 0);
miopenDataType_t dt;
ASSERT_EQ(miopenGetTensorDescriptor(tensor, &dt, nullptr, strides.data()), miopenStatusSuccess);
EXPECT_EQ(dt, GetParam().datatype);
EXPECT_EQ(strides, GetParam().strides);
const auto& s = miopen::get_object(*tensor).GetStrides();
std::copy(s.begin(), s.end(), strides.begin());
EXPECT_EQ(strides, GetParam().strides);
};
TEST_P(CPU_tensor_nxd_NONE, TestGetTensorBytes)
{
auto vector_len = miopen::get_object(*tensor).GetVectorLength();
auto byte_size = miopen::get_data_size(GetParam().datatype) *
std::inner_product(GetParam().lens.begin(),
GetParam().lens.end(),
GetParam().strides.begin(),
vector_len,
std::plus<std::size_t>(),
[](int v1, int v2) { return (v1 - 1) * v2; });
size_t numBytes;
ASSERT_EQ(miopenGetTensorNumBytes(tensor, &numBytes), miopenStatusSuccess);
EXPECT_EQ(numBytes, byte_size);
};
INSTANTIATE_TEST_SUITE_P(
Smoke,
CPU_tensor_nxd_NONE,
::testing::Values(
// clang-format off
// 1-DIMENSIONAL -------------------//
TestCase{{10}, {1}, miopenBFloat16, true, "n1d", fixture_nxd},
TestCase{{10}, {2}, miopenFloat, false, "n1d_strides", fixture_nxd_strides},
TestCase{{10}, {1}, miopenHalf, true, "n1d_strides", fixture_nxd_strides},
// 2-DIMENSIONAL -------------------//
TestCase{{10, 32}, {32, 1}, miopenBFloat16, true, "n2d", fixture_nxd},
TestCase{{10, 32}, {64, 2}, miopenFloat, false, "n2d_strides", fixture_nxd_strides},
TestCase{{10, 32}, {32, 1}, miopenHalf, true, "n2d_strides", fixture_nxd_strides},
TestCase{{8, 8}, {14, 1}, miopenHalf, false, "n2d_strides", fixture_nxd_strides},
// 3-DIMENSIONAL -------------------//
TestCase{{10, 32, 8}, {256, 8, 1}, miopenBFloat16, true, "n3d", fixture_nxd},
TestCase{{10, 32, 8}, {512, 16, 2}, miopenFloat, false, "n3d_strides", fixture_nxd_strides},
TestCase{{10, 32, 8}, {256, 8, 1}, miopenHalf, true, "n3d_strides", fixture_nxd_strides},
TestCase{{32, 8, 8}, {112, 14, 1}, miopenHalf, false, "n3d_strides", fixture_nxd_strides},
// 4-DIMENSIONAL -------------------//
TestCase{{10, 32, 8, 4}, {1024, 32, 4, 1}, miopenBFloat16, true, "n4d", fixture_nxd},
TestCase{{10, 32, 8, 4}, {1024, 32, 4, 1}, miopenFloat, true, "n4d_direct", fixture_n4d},
TestCase{{10, 32, 8, 4}, {2048, 64, 8, 2}, miopenFloat, false, "n4d_strides", fixture_nxd_strides},
TestCase{{10, 32, 8, 4}, {1024, 32, 4, 1}, miopenHalf, true, "n4d_strides", fixture_nxd_strides},
TestCase{{100, 32, 8, 8}, {4704, 112, 14, 1}, miopenHalf, false, "n4d_strides", fixture_nxd_strides},
// 4-DIMENSIONAL - vector ----------//
TestCase{{32, 16, 8, 4}, {2048, 128, 16, 4}, miopenHalf, true, "n4d_vector", fixture_n4d_vector},
// 5-DIMENSIONAL -------------------//
TestCase{{10, 32, 5, 4, 2}, {1280, 40, 8, 2, 1}, miopenBFloat16, true, "n5d", fixture_nxd},
TestCase{{10, 32, 5, 4, 2}, {2580, 80, 16, 4, 2}, miopenFloat, false, "n5d_strides", fixture_nxd_strides},
TestCase{{10, 32, 5, 4, 2}, {1280, 40, 8, 2, 1}, miopenHalf, true, "n5d_strides", fixture_nxd_strides},
TestCase{{128, 100, 32, 8, 8}, {493920, 4704, 112, 14, 1}, miopenHalf, false, "n5d_strides", fixture_nxd_strides} // clang-format on
));
using CPU_tensor_n4d_NONE = CPU_tensor_nxd_NONE;
TEST_P(CPU_tensor_n4d_NONE, TestGet4DTensor)
{
std::vector<int> lens(4, -1);
std::vector<int> strides(4, -1);
miopenDataType_t dt;
ASSERT_EQ(miopenGet4dTensorDescriptor(tensor,
&dt,
&lens[0],
&lens[1],
&lens[2],
&lens[3],
&strides[0],
&strides[1],
&strides[2],
&strides[3]),
miopenStatusSuccess);
EXPECT_EQ(dt, GetParam().datatype);
EXPECT_EQ(lens, GetParam().lens);
EXPECT_EQ(strides, GetParam().strides);
};
TEST_P(CPU_tensor_n4d_NONE, TestGetTensorIndex)
{
auto [nStride, cStride, hStride, wStride] = miopen::tien<4>(GetParam().strides);
auto vector_len = miopen::get_object(*tensor).GetVectorLength();
if(vector_len == 1)
{
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 0, 0}), 0);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 0, 1}), wStride);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 0, 2}), 2 * wStride);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 1, 0}), hStride);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 1, 1}), hStride + wStride);
}
else if(vector_len == 4)
{
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 0, 0, 0}), 0);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({1, 0, 0, 0, 0}), 1);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({2, 0, 0, 0, 0}), 2);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({3, 0, 0, 0, 0}), 3);
EXPECT_EQ(miopen::get_object(*tensor).GetIndex({0, 0, 0, 0, 1}), wStride);
}
else
{
FAIL() << "Test expects not vectorized or c4 layouts";
}
};
INSTANTIATE_TEST_SUITE_P(
Smoke,
CPU_tensor_n4d_NONE,
::testing::Values(
// clang-format off
// 4-DIMENSIONAL -------------------//
TestCase{{10, 32, 8, 4}, {1024, 32, 4, 1}, miopenBFloat16, true, "n4d", fixture_nxd},
TestCase{{10, 32, 8, 4}, {1024, 32, 4, 1}, miopenFloat, true, "n4d_direct", fixture_n4d},
TestCase{{10, 32, 8, 4}, {2048, 64, 8, 2}, miopenFloat, false, "n4d_strides", fixture_nxd_strides},
TestCase{{10, 32, 8, 4}, {1024, 32, 4, 1}, miopenHalf, true, "n4d_strides", fixture_nxd_strides},
TestCase{{100, 32, 8, 8}, {4704, 112, 14, 1}, miopenHalf, false, "n4d_strides", fixture_nxd_strides},
// 4-DIMENSIONAL - vector ----------//
TestCase{{32, 16, 8, 4}, {2048, 128, 16, 4}, miopenHalf, true, "n4d_vector", fixture_n4d_vector}
// clang-format on
));