/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
prediction_key.py | 28 LOGISTIC = "logistic"
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head.py | 793 """`Head` for binary classification with logistic regression.""" 802 """`Head` for binary classification with logistic regression. [all...] |
/external/tensorflow/tensorflow/python/estimator/canned/ |
prediction_keys.py | 31 LOGISTIC = 'logistic'
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head.py | [all...] |
dnn_testing_utils.py | [all...] |
head_test.py | [all...] |
/frameworks/ml/nn/runtime/test/generated/vts_models/ |
logistic_float_1.model.cpp | 27 .type = OperationType::LOGISTIC,
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logistic_float_1_relaxed.model.cpp | 27 .type = OperationType::LOGISTIC,
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logistic_float_2.model.cpp | 27 .type = OperationType::LOGISTIC,
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logistic_float_2_relaxed.model.cpp | 27 .type = OperationType::LOGISTIC,
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logistic_quant8_1.model.cpp | 27 .type = OperationType::LOGISTIC,
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logistic_quant8_2.model.cpp | 27 .type = OperationType::LOGISTIC,
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mobilenet_224_gender_basic_fixed.model.cpp | [all...] |
mobilenet_224_gender_basic_fixed_relaxed.model.cpp | [all...] |
/hardware/interfaces/neuralnetworks/1.0/ |
types.hal | 727 LOGISTIC = 14, [all...] |
/frameworks/ml/nn/common/ |
ValidateHal.cpp | 239 case V1_0::OperationType::LOGISTIC: 277 case V1_1::OperationType::LOGISTIC:
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Utils.cpp | 140 "LOGISTIC", [all...] |
CpuExecutor.cpp | [all...] |
/hardware/qcom/neuralnetworks/hvxservice/1.0/ |
HexagonOperationsCheck.cpp | 339 bool logistic(const std::vector<uint32_t>& ins, const std::vector<uint32_t>& outs, function in namespace:android::hardware::neuralnetworks::V1_0::implementation::hexagon::__anon52541 341 return activation(ins, outs, model, 1, OperationType::LOGISTIC); 440 {{OperationType::LOGISTIC, OperandType::TENSOR_FLOAT32}, logistic}, 468 {{OperationType::LOGISTIC, OperandType::TENSOR_QUANT8_ASYMM}, logistic},
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HexagonOperationsPrepare.cpp | 309 bool logistic(const std::vector<uint32_t>& ins, const std::vector<uint32_t>& outs, function in namespace:android::hardware::neuralnetworks::V1_0::implementation::hexagon::__anon52542::float32 311 HEXAGON_SOFT_ASSERT_EQ(1, ins.size(), "Need 1 input for float32::logistic"); 312 HEXAGON_SOFT_ASSERT_EQ(1, outs.size(), "Need 1 output for float32::logistic"); 734 bool logistic(const std::vector<uint32_t>& ins, const std::vector<uint32_t>& outs, function in namespace:android::hardware::neuralnetworks::V1_0::implementation::hexagon::__anon52542::quant8_asym [all...] |
/frameworks/ml/nn/runtime/ |
NeuralNetworks.cpp | 185 static_assert(static_cast<int32_t>(OperationType::LOGISTIC) == ANEURALNETWORKS_LOGISTIC, 186 "OperationType::LOGISTIC != ANEURALNETWORKS_LOGISTIC");
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