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Searched refs:cons1 (Results 1 – 18 of 18) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dl2_pool_float.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …tion(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
39 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …tion(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Dmax_pool_float_1_relaxed.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ion(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
41 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
48 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
51 …ion(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Davg_pool_quant8_4.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, relu1_a… in CreateModel()
39 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, relu1_a… in CreateModel_dynamic_output_shape()
Dl2_pool_float_relaxed.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …tion(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
41 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
48 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
51 …tion(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Davg_pool_float_1_relaxed.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
41 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
48 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
51 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Dmax_pool_float_1.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ion(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
39 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …ion(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Davg_pool_quant8_1.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
39 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Dmax_pool_quant8_1.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ion(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
39 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …ion(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
Davg_pool_float_1.model.cpp9 auto cons1 = model->addOperand(&type1); in CreateModel() local
16 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel()
19 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel()
39 auto cons1 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {… in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Dl2_pool_float.mod.py19 cons1 = Int32Scalar("cons1", 1) variable
23 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).…
Davg_pool_float_1.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, …
Dmax_pool_quant8_1.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act)…
Dmax_pool_float_1.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act)…
Davg_pool_quant8_1.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, …
Davg_pool_quant8_4.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, …
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dl2_pool_float_relaxed.mod.py19 cons1 = Int32Scalar("cons1", 1) variable
23 model = model.Operation("L2_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).…
Dmax_pool_float_1_relaxed.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act)…
Davg_pool_float_1_relaxed.mod.py20 cons1 = Int32Scalar("cons1", 1) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, …