| /external/armnn/src/armnn/layers/ |
| D | BatchNormalizationLayer.cpp | 27 ARMNN_ASSERT_MSG(m_Gamma != nullptr, "BatchNormalizationLayer: Gamma data should not be null."); in CreateWorkload()
35 descriptor.m_Gamma = m_Gamma.get(); in CreateWorkload()
47 layer->m_Gamma = m_Gamma ? m_Gamma : nullptr; in Clone()
71 return {m_Mean, m_Variance, m_Beta, m_Gamma}; in GetConstantTensorsByRef()
79 ManagedConstTensorHandle managedGamma(m_Gamma); in ExecuteStrategy()
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| D | BatchNormalizationLayer.hpp | 25 std::shared_ptr<ConstTensorHandle> m_Gamma; member in armnn::BatchNormalizationLayer
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| /external/armnn/src/backends/neon/workloads/ |
| D | NeonBatchNormalizationWorkload.cpp | 84 m_Gamma = std::make_unique<arm_compute::Tensor>(); in NeonBatchNormalizationWorkload()
85 BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo()); in NeonBatchNormalizationWorkload()
98 m_Gamma.get(), in NeonBatchNormalizationWorkload()
105 InitializeArmComputeTensorData(*m_Gamma, m_Data.m_Gamma); in NeonBatchNormalizationWorkload()
124 FreeTensorIfUnused(m_Gamma); in FreeUnusedTensors()
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| D | NeonInstanceNormalizationWorkload.cpp | 28 descriptor.m_Gamma, in NeonInstanceNormalizationWorkloadValidate()
55 descriptor.m_Parameters.m_Gamma, in NeonInstanceNormalizationWorkload()
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| D | NeonBatchNormalizationWorkload.hpp | 39 std::unique_ptr<arm_compute::Tensor> m_Gamma; member in armnn::NeonBatchNormalizationWorkload
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| /external/armnn/src/backends/cl/workloads/ |
| D | ClBatchNormalizationFloatWorkload.cpp | 72 m_Gamma = std::make_unique<arm_compute::CLTensor>(); in ClBatchNormalizationFloatWorkload()
73 BuildArmComputeTensor(*m_Gamma, m_Data.m_Gamma->GetTensorInfo()); in ClBatchNormalizationFloatWorkload()
97 m_Gamma.get(), in ClBatchNormalizationFloatWorkload()
105 InitializeArmComputeClTensorData(*m_Gamma, m_Data.m_Gamma); in ClBatchNormalizationFloatWorkload()
123 FreeTensorIfUnused(m_Gamma); in FreeUnusedTensors()
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| D | ClInstanceNormalizationWorkload.cpp | 27 descriptor.m_Gamma, in ClInstanceNormalizationWorkloadValidate()
58 descriptor.m_Parameters.m_Gamma, in ClInstanceNormalizationWorkload()
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| D | ClBatchNormalizationFloatWorkload.hpp | 46 std::unique_ptr<arm_compute::CLTensor> m_Gamma; member in armnn::ClBatchNormalizationFloatWorkload
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| /external/armnn/src/backends/reference/workloads/ |
| D | RefBatchNormalizationWorkload.cpp | 22 , m_Gamma (std::make_unique<ScopedTensorHandle>(*(descriptor.m_Gamma))) in RefBatchNormalizationWorkload()
45 std::unique_ptr<Decoder<float>> gammaDecoder = MakeDecoder<float>(m_Gamma->GetTensorInfo(), in Execute()
46 m_Gamma->Map(true)); in Execute()
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| D | RefBatchNormalizationWorkload.hpp | 27 std::unique_ptr<ScopedTensorHandle> m_Gamma; member in armnn::RefBatchNormalizationWorkload
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| D | InstanceNorm.cpp | 34 float gamma = data.m_Parameters.m_Gamma; in InstanceNorm()
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| /external/armnn/src/backends/backendsCommon/test/ |
| D | LayerReleaseConstantDataTest.cpp | 39 layer->m_Gamma = std::make_unique<ScopedTensorHandle>(weightInfo);
43 layer->m_Gamma->Allocate();
58 CHECK(layer->m_Gamma != nullptr);
67 CHECK(layer->m_Gamma == nullptr);
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| D | InstanceNormalizationEndToEndTestImpl.cpp | 42 instanceNormalizationDesc.m_Gamma = gamma; in CreateInstanceNormalizationNetwork()
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| /external/pdfium/core/fpdfapi/page/ |
| D | cpdf_colorspace.cpp | 144 float m_Gamma = kDefaultGamma; member in __anonec9a512f0111::CPDF_CalGray
177 float m_Gamma[kGammaCount] = {}; member in __anonec9a512f0111::CPDF_CalRGB
656 m_Gamma = pDict->GetFloatFor("Gamma"); in v_Load()
657 if (m_Gamma == 0) in v_Load()
658 m_Gamma = kDefaultGamma; in v_Load()
708 for (size_t i = 0; i < std::size(m_Gamma); ++i) in v_Load()
709 m_Gamma[i] = pGamma->GetFloatAt(i); in v_Load()
729 A_ = powf(A_, m_Gamma[0]); in GetRGB()
730 B_ = powf(B_, m_Gamma[1]); in GetRGB()
731 C_ = powf(C_, m_Gamma[2]); in GetRGB()
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| /external/armnn/src/armnn/test/ |
| D | ConstTensorLayerVisitor.hpp | 156 , m_Gamma(gamma) in TestBatchNormalizationLayerVisitor()
176 CheckConstTensors(m_Gamma, constants[3]); in ExecuteStrategy()
194 ConstTensor m_Gamma; member in armnn::TestBatchNormalizationLayerVisitor
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| D | TestNameAndDescriptorLayerVisitor.cpp | 112 descriptor.m_Gamma = 1.0f; in GetDescriptor()
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| /external/armnn/src/backends/backendsCommon/test/layerTests/ |
| D | InstanceNormalizationTestImpl.cpp | 140 descriptor.m_Parameters.m_Gamma = 1.0f; in InstanceNormTest()
226 descriptor.m_Parameters.m_Gamma = 2.0f; in InstanceNormTest2()
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| D | BatchNormalizationTestImpl.cpp | 84 descriptor.m_Gamma = &gammaTensor; in BatchNormTestImpl()
179 data.m_Gamma = &gammaTensor; in BatchNormTestNhwcImpl()
669 data.m_Gamma = &gammaTensor; in CompareBatchNormTest()
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| /external/armnn/src/armnn/optimizations/ |
| D | FuseBatchNorm.hpp | 49 …ConstTensor gammaTensor(batchNormLayer->m_Gamma->GetTensorInfo(), batchNormLayer->m_Gamma->Map(tru… in Run()
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| /external/armnn/src/backends/neon/ |
| D | NeonBackend.cpp | 293 baseLayer->m_Gamma->GetTensorInfo(), in OptimizeSubgraphView()
307 replacementLayer->m_Gamma = std::move(baseLayer->m_Gamma); in OptimizeSubgraphView()
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| /external/armnn/src/backends/cl/test/ |
| D | OpenClTimerTest.cpp | 96 data.m_Gamma = &gammaTensor;
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| /external/armnn/include/armnn/ |
| D | Descriptors.hpp | 838 : m_Gamma(1.0f) in InstanceNormalizationDescriptor()
846 return m_Gamma == rhs.m_Gamma && in operator ==()
853 float m_Gamma; member
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| /external/armnn/src/backends/cl/ |
| D | ClBackend.cpp | 441 baseLayer->m_Gamma->GetTensorInfo(), in OptimizeSubgraphView()
455 replacementLayer->m_Gamma = std::move(baseLayer->m_Gamma); in OptimizeSubgraphView()
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| /external/armnn/include/armnn/backends/ |
| D | WorkloadData.hpp | 312 , m_Gamma(nullptr) in BatchNormalizationQueueDescriptor()
319 const ConstTensorHandle* m_Gamma; member
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| /external/armnn/src/armnnTestUtils/ |
| D | CreateWorkload.hpp | 394 layer->m_Gamma = std::make_unique<ScopedTensorHandle>(weightInfo); in CreateBatchNormalizationWorkloadTest()
398 layer->m_Gamma->Allocate(); in CreateBatchNormalizationWorkloadTest()
418 CHECK((queueDescriptor.m_Gamma->GetTensorInfo() == TensorInfo({3}, DataType))); in CreateBatchNormalizationWorkloadTest()
452 layer->m_Gamma = std::make_unique<ScopedTensorHandle>(weightInfo); in CreateBatchNormalizationWithBlobWorkloadTest()
456 layer->m_Gamma->Allocate(); in CreateBatchNormalizationWithBlobWorkloadTest()
499 CHECK((queueDescriptor.m_Gamma->GetTensorInfo() == TensorInfo({3}, DataType))); in CreateBatchNormalizationWithBlobWorkloadTest()
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