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Searched refs:pad_same (Results 1 – 20 of 20) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Davg_pool_float_5_relaxed.model.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel()
41 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(pad_same, pad_same_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.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_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()
41 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(pad_same, pad_same_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_float_4.model.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_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()
39 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(pad_same, pad_same_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.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_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()
39 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(pad_same, pad_same_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()
Dl2_pool_float_2_relaxed.model.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_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()
41 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(pad_same, pad_same_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()
Davg_pool_float_5.model.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel()
39 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(pad_same, pad_same_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_quant8_5.model.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel()
20 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, a… in CreateModel()
39 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(pad_same, pad_same_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()
Dmax_pool_quant8_4.model.cpp9 auto pad_same = model->addOperand(&type1); in CreateModel() local
15 model->setOperandValue(pad_same, pad_same_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()
39 auto pad_same = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(pad_same, pad_same_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()
Dconv_float_2_relaxed.model.cpp12 auto pad_same = model->addOperand(&type3); in CreateModel() local
22 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel()
27 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel()
52 auto pad_same = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
62 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
67 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel_dynamic_output_shape()
Dconv_float_2.model.cpp12 auto pad_same = model->addOperand(&type3); in CreateModel() local
22 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel()
27 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel()
50 auto pad_same = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
60 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
65 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Dmax_pool_quant8_4.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Davg_pool_float_5.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Davg_pool_quant8_5.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_float_4.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Dl2_pool_float_2.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Dconv_float_2.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dl2_pool_float_2_relaxed.mod.py21 pad_same = Int32Scalar("pad_same", 1) 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.py21 pad_same = Int32Scalar("pad_same", 1) 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.py21 pad_same = Int32Scalar("pad_same", 1) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Dconv_float_2_relaxed.mod.py21 pad_same = Int32Scalar("pad_same", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)