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UnaryGeometricKernels.cu
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#define TORCH_ASSERT_NO_OPERATORS
#include <limits>
#include <ATen/native/UnaryOps.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/cuda/Math.cuh>
namespace at { namespace native {
void acos_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "acos_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::acos(a);
});
});
}
void asin_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "asin_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::asin(a);
});
});
}
void atan_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "atan_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::atan(a);
});
});
}
void sin_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "sin_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::sin(a);
});
});
}
void cos_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "cos_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::cos(a);
});
});
}
void sinh_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "sinh_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::sinh(a);
});
});
}
void cosh_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "cosh_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::cosh(a);
});
});
}
void tanh_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "tanh_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::tanh(a);
});
});
}
void acosh_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "acosh_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::acosh(a);
});
});
}
void asinh_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "asinh_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::asinh(a);
});
});
}
void atanh_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "atanh_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::atanh(a);
});
});
}
void tan_kernel_cuda(TensorIteratorBase& iter) {
AT_DISPATCH_FLOATING_AND_COMPLEX_TYPES_AND2(
ScalarType::Half, ScalarType::BFloat16,
iter.common_dtype(), "tan_cuda",
[&]() {
gpu_kernel(iter, []GPU_LAMBDA(scalar_t a) -> scalar_t {
return ::tan(a);
});
});
}
REGISTER_DISPATCH(acos_stub, &acos_kernel_cuda);
REGISTER_DISPATCH(acosh_stub, &acosh_kernel_cuda);
REGISTER_DISPATCH(asinh_stub, &asinh_kernel_cuda);
REGISTER_DISPATCH(atanh_stub, &atanh_kernel_cuda);
REGISTER_DISPATCH(asin_stub, &asin_kernel_cuda);
REGISTER_DISPATCH(atan_stub, &atan_kernel_cuda);
REGISTER_DISPATCH(sin_stub, &sin_kernel_cuda);
REGISTER_DISPATCH(cos_stub, &cos_kernel_cuda);
REGISTER_DISPATCH(sinh_stub, &sinh_kernel_cuda);
REGISTER_DISPATCH(cosh_stub, &cosh_kernel_cuda);
REGISTER_DISPATCH(tanh_stub, &tanh_kernel_cuda);
REGISTER_DISPATCH(tan_stub, &tan_kernel_cuda);
}} // namespace at::native