Compute Library
 21.02
NEPReluLayer.cpp
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25 
28 
29 namespace arm_compute
30 {
31 namespace experimental
32 {
33 void NEPRelu::configure(const ITensorInfo *input, const ITensorInfo *alpha, ITensorInfo *output)
34 {
35  auto k = std::make_unique<cpu::kernels::CpuArithmeticKernel>();
36  k->configure(ArithmeticOperation::PRELU, input, alpha, output);
37  _kernel = std::move(k);
38 }
39 
40 Status NEPRelu::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
41 {
43 }
44 } // nsamespace experimental
45 
46 struct NEPReluLayer::Impl
47 {
48  const ITensor *src_0{ nullptr };
49  const ITensor *src_1{ nullptr };
50  ITensor *dst{ nullptr };
51  std::unique_ptr<experimental::NEPRelu> op{ nullptr };
52 };
53 
55  : _impl(std::make_unique<Impl>())
56 {
57 }
60 NEPReluLayer::~NEPReluLayer() = default;
61 
62 void NEPReluLayer::configure(const ITensor *input, const ITensor *alpha, ITensor *output)
63 {
64  _impl->src_0 = input;
65  _impl->src_1 = alpha;
66  _impl->dst = output;
67  _impl->op = std::make_unique<experimental::NEPRelu>();
68  _impl->op->configure(input->info(), alpha->info(), output->info());
69 }
70 
72 {
73  ITensorPack pack;
74  pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
75  pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
76  pack.add_tensor(TensorType::ACL_DST, _impl->dst);
77  _impl->op->run(pack);
78 }
79 
81 {
82  return experimental::NEPRelu::validate(input, alpha, output);
83 }
84 } // namespace arm_compute
void configure(const ITensor *input, const ITensor *alpha, ITensor *output)
Set the input and output tensor.
void configure(const ITensorInfo *input, const ITensorInfo *alpha, ITensorInfo *output)
Set the input and output tensor.
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
Interface for Neon tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2021 Arm Limited.
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor&#39;s metadata.
y*x if x < 0, x otherwise
Basic function to run cpu::kernels::CpuArithmeticKernel for PRELU.
Definition: NEPReluLayer.h:68
static Status validate(ArithmeticOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of cpu::kernels::CpuArithme...
Tensor packing service.
Definition: ITensorPack.h:37
~NEPReluLayer()
Default Destructor.
void run() override
Run the kernels contained in the function.
static Status validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of cpu::kernels::CpuCompari...
NEPReluLayer & operator=(const NEPReluLayer &)=delete
Prevent instances of this class from being copied (As this class contains pointers) ...
NEPReluLayer()
Default Constructor.
void add_tensor(int id, ITensor *tensor)
Add tensor to the pack.
Definition: ITensorPack.cpp:30
static Status validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NEPReluLayer.