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[10/N] Fix Wextra-semi warning (#140880)

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Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/140880
Approved by: https://github.com/ezyang
This commit is contained in:
cyy
2024-11-17 16:12:26 +00:00
committed by PyTorch MergeBot
parent 2c6bd9f6f6
commit 73602873c9
5 changed files with 19 additions and 19 deletions
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22
aten/src/ATen/cpu/vec/vec128/vec128_bfloat16_neon.h
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@ -339,18 +339,18 @@ class Vectorized<c10::BFloat16> : public Vectorized16<at_bfloat16x8_t, c10::BFlo
return map2_bitmask_with_vec_float_method(other, &Vectorized<float>::name); \
}
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(abs);
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(abs)
Vectorized frac() const;
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(neg);
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(trunc);
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(sqrt);
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(reciprocal);
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator==);
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator!=);
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<);
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<=);
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>);
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>=);
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(neg)
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(trunc)
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(sqrt)
DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD(reciprocal)
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator==)
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator!=)
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<)
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator<=)
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>)
DEFINE_BINARY_COMPARISON_OPERATOR_VIA_FLOAT_METHOD(operator>=)
#undef DEFINE_UNARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD
#undef DEFINE_BINARY_ELEMENTWISE_FUNC_VIA_FLOAT_METHOD

4
aten/src/ATen/cpu/vec/vec128/vec128_float_neon.h
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@ -303,8 +303,8 @@ public:
Vectorized<float> exp_u20() const {
return exp();
}
DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(fmod, Sleef_fmodf4);
DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(hypot, Sleef_hypotf4_u05);
DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(fmod, Sleef_fmodf4)
DEFINE_SLEEF_COMPATIBLE_BINARY_ELEMENTWISE_FUNC_WITH_SLEEF_NAME(hypot, Sleef_hypotf4_u05)
Vectorized<float> i0() const {
return map(calc_i0);
}

2
aten/src/ATen/cpu/vec/vec128/vec128_half_neon.h
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@ -234,7 +234,7 @@ class Vectorized<c10::Half> : public Vectorized16<float16x8_t, c10::Half, BlendH
}
return loadu(res);
#endif
};
}
bool has_inf_nan() const {
__at_align__ c10::Half tmp[size()];
store(tmp);

4
aten/src/ATen/native/QuantizedLinear.cpp
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@ -38,8 +38,8 @@ CAFFE_KNOWN_TYPE(c10::intrusive_ptr<LinearPackedParamsBase>)
#ifdef USE_FBGEMM
namespace caffe2 {
// Required for cpp_custom_type_hack to work
CAFFE_KNOWN_TYPE(fbgemm::PackBMatrix<int8_t>);
CAFFE_KNOWN_TYPE(c10::intrusive_ptr<PackedLinearWeightFp16>);
CAFFE_KNOWN_TYPE(fbgemm::PackBMatrix<int8_t>)
CAFFE_KNOWN_TYPE(c10::intrusive_ptr<PackedLinearWeightFp16>)
} // namespace caffe2
#endif // USE_FBGEMM

6
torchgen/dest/ufunc.py
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@ -313,7 +313,7 @@ AT_DISPATCH_CASE(at::ScalarType::{dtype},
{ufunctors}
{stub_sig.type_defn()};
{stub_sig.dispatch_decl()};
{stub_sig.dispatch_decl()}
{stub_sig.kernel_defn()} {{
AT_DISPATCH_SWITCH(iter.common_dtype(), "{sig.name}",
@ -386,7 +386,7 @@ def compute_ufunc_cpu(g: NativeFunctionsGroup) -> str:
return f"""
{stub_sig.type_defn()};
{stub_sig.dispatch_decl()};
{stub_sig.dispatch_decl()}
{stub_sig.dispatch_defn()};
{sig.defn()} {{
@ -546,6 +546,6 @@ namespace {{
}} // anonymous namespace
{stub_sig.type_defn()};
{stub_sig.dispatch_decl()};
{stub_sig.dispatch_decl()}
REGISTER_DISPATCH({stub_sig.name}, &{stub_sig.kernel_name})
"""