1#ifndef INFINI_OPS_BASE_SILU_AND_MUL_H_
2#define INFINI_OPS_BASE_SILU_AND_MUL_H_
23 assert(input.ndim() == out.ndim() &&
24 "`SiluAndMul` requires input and output ranks to match");
26 "`SiluAndMul` requires input and output dtypes to match");
28 "`SiluAndMul` requires input last dimension to be twice output "
30 for (Tensor::Size i = 0; i + 1 <
ndim_; ++i) {
31 assert(input.size(i) == out.size(i) &&
32 "`SiluAndMul` requires matching leading dimensions");
38 template <
typename TensorLike>
40 typename TensorLike::Shape out_shape{input.shape()};
41 assert(!out_shape.empty() && out_shape.back() % 2 == 0 &&
42 "`SiluAndMul` requires an even input last dimension");
43 out_shape.back() /= 2;
45 return TensorLike::Empty(out_shape, input.dtype(), input.device());
Definition generated/include/operator.h:282
Definition silu_and_mul.h:9
Tensor::Size ndim_
Definition silu_and_mul.h:49
DataType out_type_
Definition silu_and_mul.h:55
static auto MakeReturnValue(const TensorLike &input)
Definition silu_and_mul.h:39
bool is_input_contiguous_
Definition silu_and_mul.h:67
SiluAndMul(const Tensor input, Tensor out)
Definition silu_and_mul.h:11
DataType input_type_
Definition silu_and_mul.h:53
Tensor::Shape out_shape_
Definition silu_and_mul.h:59
Tensor::Strides input_strides_
Definition silu_and_mul.h:61
Tensor::Strides out_strides_
Definition silu_and_mul.h:63
bool is_out_contiguous_
Definition silu_and_mul.h:69
Tensor::Size hidden_size_
Definition silu_and_mul.h:65
Tensor::Size output_size_
Definition silu_and_mul.h:51
virtual void operator()(const Tensor input, Tensor out) const =0
Tensor::Shape input_shape_
Definition silu_and_mul.h:57
Definition generated/include/operator.h:28
infini::rt::TensorView Tensor
Definition tensor.h:8