[CPU] Add Qwen3.5 model optimization for CPU (#19484)

Co-authored-by: Zheng, Beilei <beilei.zheng@intel.com>
Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>
This commit is contained in:
jianan-gu
2026-04-26 10:12:36 -07:00
committed by GitHub
co-authored by Zheng, Beilei Ma Mingfei Xinyuan Tong
parent 7d49564431
commit 10fd0faccd
20 changed files with 768 additions and 209 deletions
+50
View File
@@ -97,6 +97,43 @@ namespace {
TORCH_CHECK(false, "Unsupported floating data type."); \
}
// Helper MICRO for CPU_DISPATCH_REDUCED_FLOATING_TYPES_EXT:
// TYPE1: the primary dtype (input, output, weight);
// TYPE2: defined as PARAM_T input
#define CPU_DISPATCH_TYPE1_WITH_PARAM_REDUCED(TYPE1, PARAM_T, ...) \
switch (TYPE1) { \
case at::ScalarType::BFloat16: { \
using scalar_t = at::BFloat16; \
using param_t = PARAM_T; \
return __VA_ARGS__(); \
} \
case at::ScalarType::Half: { \
using scalar_t = at::Half; \
using param_t = PARAM_T; \
return __VA_ARGS__(); \
} \
default: \
TORCH_CHECK(false, "Unsupported floating data type."); \
}
// Helper MICRO for CPU_DISPATCH_REDUCED_FLOATING_TYPES_EXT:
// TYPE1: the dtype both for scalar_t and param_t
#define CPU_DISPATCH_TYPE1_WITH_SAME_PARAM_REDUCED(TYPE1, ...) \
switch (TYPE1) { \
case at::ScalarType::BFloat16: { \
using scalar_t = at::BFloat16; \
using param_t = at::BFloat16; \
return __VA_ARGS__(); \
} \
case at::ScalarType::Half: { \
using scalar_t = at::Half; \
using param_t = at::Half; \
return __VA_ARGS__(); \
} \
default: \
TORCH_CHECK(false, "Unsupported reduced floating data type."); \
}
// dispatch with mixed dtypes (TYPE1, TYPE2):
// TYPE1: the primary dtype (input, output, weight);
// TYPE2: the secondary dtype (bias, etc.).
@@ -113,6 +150,19 @@ namespace {
} \
}()
// dispatch with mixed dtypes (reduced one, no float for TYPE1) (TYPE1, TYPE2):
// TYPE1: the primary dtype (input, output, weight);
// TYPE2: the secondary dtype (bias, etc.).
#define CPU_DISPATCH_REDUCED_FLOATING_TYPES_EXT(TYPE1, TYPE2, ...) \
[&] { \
if (TYPE2 == at::kFloat) { \
CPU_DISPATCH_TYPE1_WITH_PARAM_REDUCED(TYPE1, float, __VA_ARGS__) \
} else { \
TORCH_CHECK(TYPE1 == TYPE2); \
CPU_DISPATCH_TYPE1_WITH_SAME_PARAM_REDUCED(TYPE1, __VA_ARGS__) \
} \
}()
#define UNUSED(x) (void)(x)
#define CHECK_CPU(x) TORCH_CHECK(x.device().type() == at::kCPU, #x " must be a CPU tensor")