Compute Library
 22.05
CLInstanceNormalizationLayer.cpp
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25 
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Types.h"
30 #include "src/core/CL/ICLKernel.h"
33 
34 #include "src/common/utils/Log.h"
35 
36 namespace arm_compute
37 {
39  : _inst_norm_kernel(),
40  _mean_var_kernel(),
41  _mean_var_tensor(),
42  _ctx(ctx)
43 {
44 }
46 {
47 }
48 
49 void CLInstanceNormalizationLayer::configure(ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
50 {
51  configure(CLKernelLibrary::get().get_compile_context(), input, output, gamma, beta, epsilon, use_mixed_precision);
52 }
53 
54 void CLInstanceNormalizationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
55 {
56  ARM_COMPUTE_LOG_PARAMS(input, output, gamma, beta, epsilon, use_mixed_precision);
57  auto w = std::make_unique<CLComputeMeanVariance>();
58  w->configure(compile_context, input, &_mean_var_tensor, use_mixed_precision);
59  _mean_var_kernel = std::move(w);
60  auto k = std::make_unique<CLInstanceNormalizationLayerKernel>();
61  k->configure(compile_context, input, &_mean_var_tensor, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
62  _inst_norm_kernel = std::move(k);
63  _mean_var_tensor.allocator()->allocate();
64 }
65 
66 Status CLInstanceNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon, bool use_mixed_precision)
67 {
68  return CLInstanceNormalizationLayerKernel::validate(input, output, InstanceNormalizationLayerKernelInfo(gamma, beta, epsilon, use_mixed_precision));
69 }
70 
72 {
73  ARM_COMPUTE_ERROR_ON_MSG(!_inst_norm_kernel, "The child class didn't set the CL kernel or function isn't configured");
74  schedule_kernel_on_ctx(_ctx, _mean_var_kernel.get());
75  schedule_kernel_on_ctx(_ctx, _inst_norm_kernel.get());
76 }
77 
78 } // namespace arm_compute
static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma=1.0f, float beta=0.0f, float epsilon=1e-12f, bool use_mixed_precision=true)
Static function to check if given info will lead to a valid configuration of CLInstanceNormalizationL...
SimpleTensor< float > w
Definition: DFT.cpp:156
void schedule_kernel_on_ctx(CLRuntimeContext *ctx, ICLKernel *kernel, bool flush=true)
Schedules a kernel using the context if not nullptr else uses the legacy scheduling flow...
Definition: CLHelpers.cpp:143
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
CLTensorAllocator * allocator()
Return a pointer to the tensor&#39;s allocator.
Definition: CLTensor.cpp:61
Status class.
Definition: Error.h:52
Copyright (c) 2017-2022 Arm Limited.
Interface to enqueue OpenCL kernels and get/set the OpenCL CommandQueue and ICLTuner.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info)
Static function to check if given info will lead to a valid configuration of CLInstanceNormalizationL...
#define ARM_COMPUTE_ERROR_ON_MSG(cond, msg)
Definition: Error.h:456
CLCompileContext class.
void configure(ICLTensor *input, ICLTensor *output, float gamma=1.0f, float beta=0.0f, float epsilon=1e-12f, bool use_mixed_precision=true)
Set the input and output tensors.
void allocate() override
Allocate size specified by TensorInfo of OpenCL memory.
Interface for OpenCL tensor.
Definition: ICLTensor.h:42
CLInstanceNormalizationLayer(CLRuntimeContext *ctx=nullptr)
Constructor.
void run() override
Run the kernels contained in the function.
#define ARM_COMPUTE_LOG_PARAMS(...)