| /frameworks/ml/nn/tools/test_generator/tests/P_explicit/ |
| H A D | explicit_add.mod.py | 4 model = Model() variable
5 model = model.RawAdd(i1, i1).To(i0) variable
6 model = model.RawAdd(i0, i1).To(i2) variable
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| /frameworks/support/work/workmanager/src/main/java/androidx/work/impl/model/ |
| H A D | package-info.java | 21 package androidx.work.impl.model;
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | dequantize.mod.py | 0 # model
2 model = Model() variable
5 model = model.Operation("DEQUANTIZE", i1).To(i2) variable
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| H A D | floor.mod.py | 0 # model
2 model = Model() variable
5 model = model.Operation("FLOOR", i1).To(i2) variable
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| H A D | l2_normalization.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
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| H A D | l2_normalization_2.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
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| H A D | l2_normalization_large.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
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| H A D | logistic_float_1.mod.py | 17 # model
18 model = Model() variable
22 model = model.Operation("LOGISTIC", i1).To(i3) variable
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| H A D | logistic_quant8_1.mod.py | 17 # model
18 model = Model() variable
22 model = model.Operation("LOGISTIC", i1).To(i3) variable
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| H A D | relu1_float_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU1", i1).To(i2) variable
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| H A D | relu6_float_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU6", i1).To(i2) variable
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| H A D | relu_float_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU", i1).To(i2) variable
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| H A D | tanh.mod.py | 0 # model
2 model = Model() variable
6 model = model.Operation("TANH", i1).To(i2) variable
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| H A D | dequantize_relaxed.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("DEQUANTIZE", i1).To(i2) variable
22 model = model.RelaxedExecution(True) variable
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| H A D | floor_relaxed.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("FLOOR", i1).To(i2) variable
22 model = model.RelaxedExecution(True) variable
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| H A D | l2_normalization_2_relaxed.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
23 model = model.RelaxedExecution(True) variable
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| H A D | l2_normalization_large_relaxed.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
23 model = model.RelaxedExecution(True) variable
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| H A D | l2_normalization_relaxed.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
23 model = model.RelaxedExecution(True) variable
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| H A D | logistic_float_1_relaxed.mod.py | 17 # model
18 model = Model() variable
22 model = model.Operation("LOGISTIC", i1).To(i3) variable
23 model = model.RelaxedExecution(True) variable
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| H A D | relu1_float_1_relaxed.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU1", i1).To(i2) variable
22 model = model.RelaxedExecution(True) variable
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| H A D | relu6_float_1_relaxed.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU6", i1).To(i2) variable
22 model = model.RelaxedExecution(True) variable
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| H A D | relu_float_1_relaxed.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU", i1).To(i2) variable
22 model = model.RelaxedExecution(True) variable
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| H A D | tanh_relaxed.mod.py | 17 # model
18 model = Model() variable
22 model = model.Operation("TANH", i1).To(i2) variable
23 model = model.RelaxedExecution(True) variable
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| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | dequantize.model.cpp | 2 void CreateModel(Model *model) { argument
6 auto op1 = model->addOperand(&type0);
7 auto op2 = model->addOperand(&type1);
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
11 model->identifyInputsAndOutputs(
14 assert(model->isValid());
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| H A D | dequantize_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument
6 auto op1 = model->addOperand(&type0);
7 auto op2 = model->addOperand(&type1);
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
11 model->identifyInputsAndOutputs(
15 model->relaxComputationFloat32toFloat16(true);
16 assert(model->isValid());
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