1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
|
#include "caffe2/operators/quantized/int8_leaky_relu_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(Int8LeakyRelu, int8::Int8LeakyReluOp);
OPERATOR_SCHEMA(Int8LeakyRelu)
.NumInputs(1)
.NumOutputs(1)
.Arg("alpha", "Coefficient of leakage, default value is 0.01")
.Arg("Y_scale", "Output tensor quantization scale")
.Arg("Y_zero_point", "Output tensor quantization offset")
.AllowInplace({{0, 0}})
.CostInferenceFunction(PointwiseCostInference<2>)
.IdenticalTypeAndShape()
.SetDoc(R"DOC(
LeakyRelu takes input data (Tensor<T>) and an argument alpha, and produces one
output data (Tensor<T>) where the function `f(x) = alpha * x for x < 0`,
`f(x) = x for x >= 0`, is applied to the data tensor elementwise.
)DOC")
.Input(0, "X", "1D input tensor")
.Output(0, "Y", "1D input tensor");
} // namespace caffe2
|
