CUTLASS 2.1 (#83)

CUTLASS 2.1 contributes:
- BLAS-style host-side API added to CUTLASS Library
- Planar Complex GEMM kernels targeting Volta and Turing Tensor Cores
- Minor enhancements and bug fixes
This commit is contained in:
Andrew Kerr
2020-04-07 13:51:25 -07:00
committed by GitHub
parent 7c0cd26d13
commit 96dab34ad9
196 changed files with 20653 additions and 1995 deletions

View File

@@ -45,7 +45,7 @@ enum class FloatRoundStyle {
round_toward_zero, ///< round toward zero
round_to_nearest, ///< round to nearest even
round_toward_infinity, ///< round toward infinity
round_toward_neg_infinity, ///< round toward negative infinity
round_toward_neg_infinity ///< round toward negative infinity
};
/////////////////////////////////////////////////////////////////////////////////////////////////
@@ -268,8 +268,7 @@ struct NumericConverterClamp {
result_type const kClamp_min = -kClamp_max - 1;
bool is_int_min = !(s > kClamp_min);
bool is_int_max = !(s < kClamp_max);
return (is_int_min ? kClamp_min : (is_int_max ? kClamp_max : convert_op(s)));
return is_int_min ? kClamp_min : (is_int_max ? kClamp_max : convert_op(s));
}
CUTLASS_HOST_DEVICE
@@ -295,15 +294,15 @@ struct NumericConverterClamp<T, float> {
CUTLASS_HOST_DEVICE
static result_type convert(source_type const & s) {
NumericConverter<result_type, source_type> convert_op;
NumericConverter<result_type, double> convert_op;
float kClamp_max = float((1 << (sizeof_bits<result_type>::value - 1)) - 1);
float kClamp_min = -kClamp_max - 1;
double kClamp_max = double((1U << (sizeof_bits<result_type>::value - 1)) - 1);
double kClamp_min = -kClamp_max - 1;
float source = s;
double source = s;
source = fmaxf(source, kClamp_min);
source = fminf(source, kClamp_max);
source = fmax(source, kClamp_min);
source = fmin(source, kClamp_max);
return convert_op(source);
}
@@ -353,6 +352,24 @@ struct NumericArrayConverter {
}
};
template <
typename T,
int N,
FloatRoundStyle Round
>
struct NumericArrayConverter<T, T, N, Round> {
using result_type = Array<T, N>;
using source_type = Array<T, N>;
static FloatRoundStyle const round_style = Round;
CUTLASS_HOST_DEVICE
result_type operator()(source_type const &s) {
return s;
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Partial specialization for Array<half, 2> <= Array<float, 2>, round to nearest
@@ -498,10 +515,15 @@ struct NumericArrayConverter<float, half_t, N, Round> {
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////////////
// Conditional guards to enable partial specialization for packed integers
#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 720) && (__CUDACC_VER_MAJOR__ >= 10) && (__CUDACC_VER_MINOR__ >= 2)
#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 720) && \
((__CUDACC_VER_MAJOR__ > 10) || \
((__CUDACC_VER_MAJOR__ >= 10) && (__CUDACC_VER_MINOR__ >= 2)))
/// Partial specialization for Array<int8_t, 1> <= Array<int, 1>
template <
@@ -625,12 +647,13 @@ struct NumericArrayConverter<int8_t, int, N, Round> {
return convert(s);
}
};
#endif // Conditional guards to enable partial specialization for packed integers
#endif
/////////////////////////////////////////////////////////////////////////////////////////////////
#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 750) && (__CUDACC_VER_MAJOR__ >= 10) && (__CUDACC_VER_MINOR__ >= 2)
#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 750) && \
((__CUDACC_VER_MAJOR__ > 10) || \
((__CUDACC_VER_MAJOR__ >= 10) && (__CUDACC_VER_MINOR__ >= 2)))
/// Partial specialization for Array<int4b_t, 8> <= Array<int, 8>
template <
@@ -707,4 +730,121 @@ struct NumericArrayConverter<int4b_t, int, N, Round> {
/////////////////////////////////////////////////////////////////////////////////////////////////
/// FastNumericArrayConverter only works when the source is within center range.
/// Conversion operator for Array
template <typename T, typename S, int N,
FloatRoundStyle Round = FloatRoundStyle::round_to_nearest>
struct FastNumericArrayConverter {
using result_type = Array<T, N>;
using source_type = Array<S, N>;
static FloatRoundStyle const round_style = Round;
CUTLASS_DEVICE
static result_type convert(source_type const &s) {
result_type result;
NumericArrayConverter<T, S, N, Round> convert_;
return convert_(s);
}
CUTLASS_DEVICE
result_type operator()(source_type const &s) { return convert(s); }
};
/// Partial specialization for Array<float> <= Array<int>
template <typename T, int N, FloatRoundStyle Round>
struct FastNumericArrayConverter<float, T, N, Round> {
using result_type = Array<float, N>;
using source_type = Array<T, N>;
static FloatRoundStyle const round_style = Round;
CUTLASS_DEVICE
static result_type convert(source_type const &source) {
result_type result;
CUTLASS_PRAGMA_UNROLL
for (int i = 0; i < N; ++i) {
int tmp = source[i] + 1262485504 /*0x4B400000*/;
result[i] = reinterpret_cast<float const &>(tmp) - 12582912.0f;
}
return result;
}
CUTLASS_DEVICE
result_type operator()(source_type const &s) { return convert(s); }
};
/// Partial specialization for Array<int8_t, 4> <= Array<float, 4>
template <FloatRoundStyle Round>
struct FastNumericArrayConverter<int8_t, float, 4, Round> {
using result_type = Array<int8_t, 4>;
using source_type = Array<float, 4>;
static FloatRoundStyle const round_style = Round;
CUTLASS_DEVICE
static result_type convert(source_type const &source) {
Array<int32_t, 4> result;
CUTLASS_PRAGMA_UNROLL
for (int i = 0; i < 4; ++i) {
float tmp = source[i] + 12582912.0f;
result[i] = reinterpret_cast<int32_t const &>(tmp);
}
result[0] = __byte_perm(result[0], result[1], 0x40);
result[2] = __byte_perm(result[2], result[3], 0x40);
result[0] = __byte_perm(result[0], result[2], 0x5410);
return reinterpret_cast<result_type const &>(result[0]);
}
CUTLASS_DEVICE
result_type operator()(source_type const &s) { return convert(s); }
};
/// Partial specialization for Array<int8_t> <= Array<float>
template <int N, FloatRoundStyle Round>
struct FastNumericArrayConverter<int8_t, float, N, Round> {
static_assert(!(N % 4), "N must be multiple of 4.");
using result_type = Array<int8_t, N>;
using source_type = Array<float, N>;
static FloatRoundStyle const round_style = Round;
CUTLASS_DEVICE
static result_type convert(source_type const &source) {
FastNumericArrayConverter<int8_t, float, 4, Round> convert_vector_;
result_type result;
Array<int8_t, 4> *result_ptr =
reinterpret_cast<Array<int8_t, 4> *>(&result);
Array<float, 4> const *source_ptr =
reinterpret_cast<Array<float, 4> const *>(&source);
CUTLASS_PRAGMA_UNROLL
for (int i = 0; i < N / 4; ++i) {
result_ptr[i] = convert_vector_(source_ptr[i]);
}
return result;
}
CUTLASS_DEVICE
result_type operator()(source_type const &s) { return convert(s); }
};
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Defines preferred rounding mode for a pair of types
template <typename T, typename S>
struct PreferredRoundingMode {
static FloatRoundStyle const kRound = FloatRoundStyle::round_to_nearest;
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////