blob: 414c8a6f63904131b1b79a0b348998111ff32287 [file] [log] [blame]
#include <ATen/native/Pow.h>
#include <ATen/ATen.h>
#include <ATen/Dispatch.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/ScalarOps.h>
namespace at { namespace native {
DEFINE_DISPATCH(pow_tensor_tensor_stub);
DEFINE_DISPATCH(pow_tensor_scalar_stub);
Tensor& pow_out(Tensor& result, const Tensor& base, const Tensor& exp) {
auto iter = TensorIterator::binary_op(result, base, exp);
pow_tensor_tensor_stub(iter.device_type(), iter);
return result;
}
Tensor& pow_out(Tensor& result, const Tensor& base, Scalar exp) {
// Numpy compatibility check:
TORCH_CHECK(!(isIntegralType(base.scalar_type(), true) &&
exp.isIntegral(true) && exp.toLong() < 0),
"Integers to negative integer powers are not allowed.");
auto common_dtype = at::result_type(base, exp);
TORCH_CHECK(at::can_cast(common_dtype, result.scalar_type()),
"result type ", common_dtype, "can't be cast to the desired output type ",
result.scalar_type());
if (exp.isComplex() && (exp.toComplexDouble() == 0.0) ) {
result.resize_as_(base).fill_(1);
} else if (exp.isComplex() && (exp.toComplexDouble() == 1.0) ) {
result.resize_as_(base).fill_(base);
} else if (!exp.isComplex() && (exp.toDouble() == 0.0)) {
result.resize_as_(base).fill_(1);
} else if (!exp.isComplex() && (exp.toDouble() == 1.0)) {
result.resize_as_(base).copy_(base);
} else {
auto iter = TensorIterator::unary_op(result, base.to(common_dtype));
pow_tensor_scalar_stub(iter.device_type(), iter, exp);
}
return result;
}
Tensor& pow_out(Tensor& result, Scalar base, const Tensor& exp) {
if (base.toDouble() == 1.0) {
result.resize_as_(exp).fill_(1);
} else {
native::pow_out(result, c10::scalar_to_tensor(base, exp.device()), exp);
}
return result;
}
Tensor& pow_(Tensor& base, const Tensor& other) {
return native::pow_out(base, base, other);
}
Tensor& pow_(Tensor& base, Scalar alpha) {
return native::pow_out(base, base, alpha);
}
Tensor pow(const Tensor& base, const Tensor& exp) {
auto dtype = at::result_type(base, exp);
Tensor result = at::empty({0}, base.options().dtype(dtype));
return native::pow_out(result, base, exp);
}
Tensor pow(const Tensor& base, Scalar exp) {
auto dtype = at::result_type(base, exp);
Tensor result = at::empty_like(base, base.options().dtype(dtype), MemoryFormat::Preserve);
return native::pow_out(result, base, exp);
}
Tensor pow(Scalar base, const Tensor& exp) {
auto dtype = at::result_type(base, exp);
Tensor result = at::empty_like(exp, exp.options().dtype(dtype), MemoryFormat::Preserve);
return native::pow_out(result, base, exp);
}
} // namespace native
} // namespace at