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Revert "Avx enablement"

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Alexey Milovidov 2022-08-21 15:47:02 +03:00 committed by GitHub
parent 323fac856f
commit 6fbff6d1f6
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4 changed files with 28 additions and 96 deletions
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2
cmake/cpu_features.cmake
View File

@ -16,7 +16,7 @@ option (ENABLE_SSE41 "Use SSE4.1 instructions on x86_64" 1)
option (ENABLE_SSE42 "Use SSE4.2 instructions on x86_64" 1)
option (ENABLE_PCLMULQDQ "Use pclmulqdq instructions on x86_64" 1)
option (ENABLE_POPCNT "Use popcnt instructions on x86_64" 1)
option (ENABLE_AVX "Use AVX instructions on x86_64" 1)
option (ENABLE_AVX "Use AVX instructions on x86_64" 0)
option (ENABLE_AVX2 "Use AVX2 instructions on x86_64" 0)
option (ENABLE_AVX512 "Use AVX512 instructions on x86_64" 0)
option (ENABLE_AVX512_VBMI "Use AVX512_VBMI instruction on x86_64 (depends on ENABLE_AVX512)" 0)

81
src/Functions/FunctionsConversion.h
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@ -191,15 +191,15 @@ struct ConvertImpl
vec_null_map_to = &col_null_map_to->getData();
}
if constexpr (std::is_same_v<ToDataType, DataTypeUInt8>)
{
if (isBool(result_type))
{
bool result_is_bool = isBool(result_type);
for (size_t i = 0; i < input_rows_count; ++i)
{
if constexpr (std::is_same_v<ToDataType, DataTypeUInt8>)
{
if (result_is_bool)
{
vec_to[i] = vec_from[i] != FromFieldType(0);
}
goto done;
continue;
}
}
@ -212,8 +212,6 @@ struct ConvertImpl
if constexpr (IsDataTypeDecimal<FromDataType> || IsDataTypeDecimal<ToDataType>)
{
if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
{
for (size_t i = 0; i < input_rows_count; ++i)
{
ToFieldType result;
bool convert_result = false;
@ -233,10 +231,7 @@ struct ConvertImpl
(*vec_null_map_to)[i] = true;
}
}
}
else
{
for (size_t i = 0; i < input_rows_count; ++i)
{
if constexpr (IsDataTypeDecimal<FromDataType> && IsDataTypeDecimal<ToDataType>)
vec_to[i] = convertDecimals<FromDataType, ToDataType>(vec_from[i], col_from->getScale(), col_to->getScale());
@ -248,13 +243,10 @@ struct ConvertImpl
throw Exception("Unsupported data type in conversion function", ErrorCodes::CANNOT_CONVERT_TYPE);
}
}
}
else
{
/// If From Data is Nan or Inf and we convert to integer type, throw exception
if constexpr (std::is_floating_point_v<FromFieldType> && !std::is_floating_point_v<ToFieldType>)
{
for (size_t i = 0; i < input_rows_count; ++i)
{
if (!isFinite(vec_from[i]))
{
@ -262,12 +254,13 @@ struct ConvertImpl
{
vec_to[i] = 0;
(*vec_null_map_to)[i] = true;
continue;
}
else
throw Exception("Unexpected inf or nan to integer conversion", ErrorCodes::CANNOT_CONVERT_TYPE);
}
else
{
}
if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>
|| std::is_same_v<Additions, AccurateConvertStrategyAdditions>)
{
@ -295,64 +288,8 @@ struct ConvertImpl
}
}
}
goto done;
}
if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>
|| std::is_same_v<Additions, AccurateConvertStrategyAdditions>)
{
for (size_t i = 0; i < input_rows_count; ++i)
{
bool convert_result = accurate::convertNumeric(vec_from[i], vec_to[i]);
if (!convert_result)
{
if (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
{
vec_to[i] = 0;
(*vec_null_map_to)[i] = true;
}
else
{
throw Exception(
"Value in column " + named_from.column->getName() + " cannot be safely converted into type "
+ result_type->getName(),
ErrorCodes::CANNOT_CONVERT_TYPE);
}
}
}
}
else
{
if constexpr (std::is_same_v<FromDataType, DataTypeUInt64> && std::is_same_v<ToDataType, DataTypeFloat32>)
{
/// Turns out that when ClickHouse is compiled with AVX1 or AVX2 instructions, Clang's autovectorizer produces
/// code for UInt64-to-Float23 conversion which is only ~50% as fast as scalar code. Interestingly, scalar code
/// is equally fast than code compiled for SSE4.2, so we might as well disable vectorization. This situation
/// may change with AVX512 which has a dediated instruction for that usecase (_mm512_cvtepi64_ps).
#if defined(__x86_64__)
# ifdef __clang__
# pragma clang loop vectorize(disable) interleave(disable)
# endif
#endif
for (size_t i = 0; i < input_rows_count; ++i)
{
vec_to[i] = static_cast<ToFieldType>(vec_from[i]);
}
}
else
{
for (size_t i = 0; i < input_rows_count; ++i)
{
vec_to[i] = static_cast<ToFieldType>(vec_from[i]);
}
}
}
}
}
done:
if constexpr (std::is_same_v<Additions, AccurateOrNullConvertStrategyAdditions>)
return ColumnNullable::create(std::move(col_to), std::move(col_null_map_to));
else

7
tests/queries/0_stateless/01103_check_cpu_instructions_at_startup.reference
View File

@ -0,0 +1,7 @@
Instruction check fail. The CPU does not support SSSE3 instruction set.
Instruction check fail. The CPU does not support SSE4.1 instruction set.
Instruction check fail. The CPU does not support SSE4.2 instruction set.
Instruction check fail. The CPU does not support POPCNT instruction set.
<jemalloc>: MADV_DONTNEED does not work (memset will be used instead)
<jemalloc>: (This is the expected behaviour if you are running under QEMU)
1

12
tests/queries/0_stateless/01103_check_cpu_instructions_at_startup.sh
View File

@ -2,18 +2,6 @@
# Tags: no-tsan, no-asan, no-ubsan, no-msan, no-debug, no-fasttest, no-cpu-aarch64
# Tag no-fasttest: avoid dependency on qemu -- invonvenient when running locally
# More than a decade after AVX was released, AVX is still not supported by QEMU, even if "-cpu help" pretends to. As a result, we cannot use
# QEMU to verify that a ClickHouse binary compiled for a SIMD level up to AVX runs on a system with a SIMD level up to AVX. The alternative
# is to disassemble the binary and grep for unwanted instructions (e.g. AVX512) which is just too fragile ...
#
# https://gitlab.com/qemu-project/qemu/-/issues/164
# https://www.mail-archive.com/qemu-devel@nongnu.org/msg713932.html
# https://lore.kernel.org/all/CAObpvQmejWBh+RNz2vhk16-kcY_QveM_pSmM5ZeWqWv1d8AJzQ@mail.gmail.com/T/
exit 0
# keeping the original test because it is instructive and maybe QEMU will be fixed at some point ...
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
# shellcheck source=../shell_config.sh
. "$CURDIR"/../shell_config.sh