56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
81 lines
4.2 KiB
Plaintext
81 lines
4.2 KiB
Plaintext
#include <thrust/functional.h>
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#include <thrust/transform.h>
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#include <algorithm>
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#include <functional>
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#include <unittest/unittest.h>
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const size_t NUM_SAMPLES = 10000;
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template <class InputVector, class OutputVector, class Operator, class ReferenceOperator>
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void TestBinaryFunctional()
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{
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using InputType = typename InputVector::value_type;
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using OutputType = typename OutputVector::value_type;
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thrust::host_vector<InputType> std_input1 = unittest::random_samples<InputType>(NUM_SAMPLES);
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thrust::host_vector<InputType> std_input2 = unittest::random_samples<InputType>(NUM_SAMPLES);
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thrust::host_vector<OutputType> std_output(NUM_SAMPLES);
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InputVector input1 = std_input1;
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InputVector input2 = std_input2;
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OutputVector output(NUM_SAMPLES);
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thrust::transform(input1.begin(), input1.end(), input2.begin(), output.begin(), Operator());
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thrust::transform(std_input1.begin(), std_input1.end(), std_input2.begin(), std_output.begin(), ReferenceOperator());
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// Note: FP division is not bit-equal, even when nvcc is invoked with --prec-div
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ASSERT_ALMOST_EQUAL(output, std_output);
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}
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// XXX add bool to list
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// Instantiate a macro for all integer-like data types
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// clang-format off
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#define INSTANTIATE_INTEGER_TYPES(Macro, vector_type, operator_name) \
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Macro(vector_type, operator_name, unittest::int8_t ) \
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Macro(vector_type, operator_name, unittest::uint8_t ) \
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Macro(vector_type, operator_name, unittest::int16_t ) \
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Macro(vector_type, operator_name, unittest::uint16_t) \
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Macro(vector_type, operator_name, unittest::int32_t ) \
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Macro(vector_type, operator_name, unittest::uint32_t) \
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Macro(vector_type, operator_name, unittest::int64_t ) \
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Macro(vector_type, operator_name, unittest::uint64_t)
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// clang-format on
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// Instantiate a macro for all integer and floating point data types
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#define INSTANTIATE_ALL_TYPES(Macro, vector_type, operator_name) \
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INSTANTIATE_INTEGER_TYPES(Macro, vector_type, operator_name) \
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Macro(vector_type, operator_name, float)
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// XXX revert OutputVector<T> back to bool
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// op(T,T) -> bool
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#define INSTANTIATE_BINARY_LOGICAL_FUNCTIONAL_TEST(vector_type, operator_name, data_type) \
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TestBinaryFunctional<thrust::vector_type<data_type>, \
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thrust::vector_type<data_type>, \
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::cuda::std::operator_name<data_type>, \
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::std::operator_name<data_type>>();
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// op(T,T) -> bool
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#define DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(operator_name, OperatorName) \
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void Test##OperatorName##FunctionalHost() \
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{ \
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INSTANTIATE_ALL_TYPES(INSTANTIATE_BINARY_LOGICAL_FUNCTIONAL_TEST, host_vector, operator_name); \
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} \
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DECLARE_UNITTEST(Test##OperatorName##FunctionalHost); \
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void Test##OperatorName##FunctionalDevice() \
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{ \
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INSTANTIATE_ALL_TYPES(INSTANTIATE_BINARY_LOGICAL_FUNCTIONAL_TEST, device_vector, operator_name); \
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} \
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DECLARE_UNITTEST(Test##OperatorName##FunctionalDevice);
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// Create the unit tests
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(equal_to, EqualTo);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(not_equal_to, NotEqualTo);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(greater, Greater);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(less, Less);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(greater_equal, GreaterEqual);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(less_equal, LessEqual);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(logical_and, LogicalAnd);
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DECLARE_BINARY_LOGICAL_FUNCTIONAL_UNITTEST(logical_or, LogicalOr);
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