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Searched refs:cons2 (Results 1 – 16 of 16) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dl2_pool_float_2_relaxed.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_no… in CreateModel()
42 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_no… in CreateModel_dynamic_output_shape()
Dmax_pool_float_4.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_n… in CreateModel()
40 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_n… in CreateModel_dynamic_output_shape()
Davg_pool_quant8_5.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel()
40 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel_dynamic_output_shape()
Davg_pool_float_5_relaxed.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel()
42 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel_dynamic_output_shape()
Dmax_pool_float_4_relaxed.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_n… in CreateModel()
42 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_n… in CreateModel_dynamic_output_shape()
Dmax_pool_quant8_4.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_n… in CreateModel()
40 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_n… in CreateModel_dynamic_output_shape()
Dl2_pool_float_2.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_no… in CreateModel()
40 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_no… in CreateModel_dynamic_output_shape()
Davg_pool_float_5.model.cpp10 auto cons2 = model->addOperand(&type1); in CreateModel() local
17 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel()
40 auto cons2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Davg_pool_quant8_5.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_quant8_4.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Davg_pool_float_5.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_float_4.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Dl2_pool_float_2.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dl2_pool_float_2_relaxed.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Davg_pool_float_5_relaxed.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_float_4_relaxed.mod.py20 cons2 = Int32Scalar("cons2", 2) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)