/external/gemmlowp/meta/ |
transform_kernels.h | 30 struct Dequantize { 89 class Transform1DKernel<InType, OutType, Dequantize, kernel_size, leftovers> { 91 static void Transform(const InType* in, const Dequantize& params, 95 std::cout << "Dequantize::Transform(" << std::string(typeid(InType).name()) 100 std::cerr << "FATAL: Dequantize::Transform not implemented." << std::endl; 200 class Transform1DUtil<InType, OutType, Dequantize> { 202 static int EstimateComputeCost(const Dequantize& params) { 206 static const InType* OffsetInput(const Dequantize& params, 211 static OutType* OffsetOutput(const Dequantize& params, OutType* output,
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transform_kernels_arm_32.h | [all...] |
transform_kernels_arm_64.h | [all...] |
test_transform_benchmark.cc | 123 typedef Transform1DParams<std::uint8_t, float, Dequantize> DequantizeParams; 134 run_benchmark("Dequantize", repetitions, elements, &context,
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/external/tensorflow/tensorflow/core/kernels/ |
meta_support.h | 85 void Dequantize(OpKernelContext* context, const quint8* input, int count,
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dequantize_op_test.cc | 60 // Compares dequantize min vs the same using eigen. This tests that a change 64 TF_ASSERT_OK(NodeDefBuilder("dequantize_op", "Dequantize") 92 TF_ASSERT_OK(NodeDefBuilder("dequantize_op", "Dequantize") 160 ops::Dequantize(root, test::AsTensor<T>(inputs), test::AsScalar<float>(-1.5f), 162 ops::Dequantize::Attrs().Mode("MIN_COMBINED"));
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dequantize_op.cc | 91 meta::Dequantize(ctx, input_ui8_array.data(), input_ui8_array.size(), 131 Name("Dequantize").Device(DEVICE_CPU).TypeConstraint<quint8>("T"), 134 Name("Dequantize").Device(DEVICE_CPU).TypeConstraint<qint8>("T"), 137 Name("Dequantize").Device(DEVICE_CPU).TypeConstraint<quint16>("T"), 140 Name("Dequantize").Device(DEVICE_CPU).TypeConstraint<qint16>("T"), 144 Name("Dequantize").Device(DEVICE_CPU).TypeConstraint<qint32>("T"),
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meta_support.cc | 292 void Dequantize(OpKernelContext* tf_context, const quint8* input, int count, 297 gemmlowp::meta::Dequantize> 312 LOG(FATAL) << "Dequantize: Meta fastpath not supported.";
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/external/tensorflow/tensorflow/contrib/lite/kernels/ |
depthwise_conv_test.cc | 138 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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pooling_test.cc | 72 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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mul_test.cc | 67 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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activations_test.cc | 85 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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add_test.cc | 60 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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concatenation_test.cc | 68 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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conv_test.cc | 395 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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fully_connected_test.cc | 206 return Dequantize<uint8_t>(ExtractVector<uint8_t>(output_),
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test_util.h | 51 inline std::vector<float> Dequantize(const std::vector<T>& data, float scale,
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/external/tensorflow/tensorflow/tools/graph_transforms/ |
quantize_nodes_test.cc | 508 Dequantize(root.WithOpName("dequantize_op"), quantized_op, 539 Dequantize(root.WithOpName("final_dequantize"), quantize_op.output, 607 Dequantize(root.WithOpName("dequantize_op"), requantize_op.output, 638 Dequantize(root.WithOpName("final_dequantize"), quantize_op.output, 733 Dequantize(root.WithOpName("dequantize_op"), requantize_op.output, [all...] |
freeze_requantization_ranges_test.cc | 97 Dequantize(root.WithOpName("dequantize_op"), requantize_op.output,
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
graph_transformations.h | 178 DECLARE_GRAPH_TRANSFORMATION(Dequantize)
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dequantize.cc | 86 // Dequantize any buffer 188 bool Dequantize::Run(Model* model, std::size_t op_index) {
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/external/gemmlowp/doc/ |
quantization_example.cc | 144 void Dequantize(const QuantizationParams& qparams, 373 Dequantize(result_qparams, actual_uint8_result.Storage(),
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/hardware/qcom/neuralnetworks/hvxservice/1.0/hexagon_nn_controller/ |
ops.def | 120 DEF_OP_WREF(Dequantize)
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/external/tensorflow/tensorflow/contrib/lite/toco/ |
toco_tooling.cc | 269 GraphTransformationsSet dequantization_transformations{new Dequantize}; 270 // Dequantize creates FakeQuant nodes. We may want to discard
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/frameworks/ml/nn/common/operations/ |
SimpleMath.cpp | 223 tflite::optimized_ops::Dequantize(inputData, dim,
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