[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>
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co-authored by
Zheng, Beilei
Ma Mingfei
Xinyuan Tong
parent
7d49564431
commit
10fd0faccd
@@ -97,6 +97,43 @@ namespace {
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TORCH_CHECK(false, "Unsupported floating data type."); \
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}
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// Helper MICRO for CPU_DISPATCH_REDUCED_FLOATING_TYPES_EXT:
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// TYPE1: the primary dtype (input, output, weight);
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// TYPE2: defined as PARAM_T input
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#define CPU_DISPATCH_TYPE1_WITH_PARAM_REDUCED(TYPE1, PARAM_T, ...) \
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switch (TYPE1) { \
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case at::ScalarType::BFloat16: { \
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using scalar_t = at::BFloat16; \
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using param_t = PARAM_T; \
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return __VA_ARGS__(); \
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} \
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case at::ScalarType::Half: { \
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using scalar_t = at::Half; \
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using param_t = PARAM_T; \
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return __VA_ARGS__(); \
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} \
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default: \
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TORCH_CHECK(false, "Unsupported floating data type."); \
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}
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// Helper MICRO for CPU_DISPATCH_REDUCED_FLOATING_TYPES_EXT:
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// TYPE1: the dtype both for scalar_t and param_t
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#define CPU_DISPATCH_TYPE1_WITH_SAME_PARAM_REDUCED(TYPE1, ...) \
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switch (TYPE1) { \
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case at::ScalarType::BFloat16: { \
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using scalar_t = at::BFloat16; \
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using param_t = at::BFloat16; \
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return __VA_ARGS__(); \
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} \
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case at::ScalarType::Half: { \
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using scalar_t = at::Half; \
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using param_t = at::Half; \
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return __VA_ARGS__(); \
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} \
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default: \
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TORCH_CHECK(false, "Unsupported reduced floating data type."); \
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}
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// dispatch with mixed dtypes (TYPE1, TYPE2):
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// TYPE1: the primary dtype (input, output, weight);
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// TYPE2: the secondary dtype (bias, etc.).
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@@ -113,6 +150,19 @@ namespace {
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} \
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}()
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// dispatch with mixed dtypes (reduced one, no float for TYPE1) (TYPE1, TYPE2):
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// TYPE1: the primary dtype (input, output, weight);
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// TYPE2: the secondary dtype (bias, etc.).
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#define CPU_DISPATCH_REDUCED_FLOATING_TYPES_EXT(TYPE1, TYPE2, ...) \
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[&] { \
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if (TYPE2 == at::kFloat) { \
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CPU_DISPATCH_TYPE1_WITH_PARAM_REDUCED(TYPE1, float, __VA_ARGS__) \
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} else { \
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TORCH_CHECK(TYPE1 == TYPE2); \
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CPU_DISPATCH_TYPE1_WITH_SAME_PARAM_REDUCED(TYPE1, __VA_ARGS__) \
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} \
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}()
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#define UNUSED(x) (void)(x)
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#define CHECK_CPU(x) TORCH_CHECK(x.device().type() == at::kCPU, #x " must be a CPU tensor")
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