Home
last modified time | relevance | path

Searched refs:op0 (Results 1 – 11 of 11) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dconv_1_h3_w2_VALID_relaxed.model.cpp11 auto op0 = model->addOperand(&type3); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
54 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
63 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
97 auto op0 = model->addOperand(&type3); in CreateModel_2() local
106 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_2()
117 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
140 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_SAME_relaxed.model.cpp10 auto op0 = model->addOperand(&type2); in CreateModel() local
19 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
53 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
62 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_dynamic_output_shape()
73 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
95 auto op0 = model->addOperand(&type2); in CreateModel_2() local
104 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_2()
115 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
138 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_VALID.model.cpp11 auto op0 = model->addOperand(&type3); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
52 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
61 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_dynamic_output_shape()
72 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
93 auto op0 = model->addOperand(&type3); in CreateModel_2() local
102 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_2()
113 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
134 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_SAME.model.cpp11 auto op0 = model->addOperand(&type3); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
52 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
61 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_dynamic_output_shape()
72 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
93 auto op0 = model->addOperand(&type3); in CreateModel_2() local
102 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_2()
113 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
134 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_1_h3_w2_SAME_relaxed.model.cpp11 auto op0 = model->addOperand(&type3); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
54 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
63 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
97 auto op0 = model->addOperand(&type3); in CreateModel_2() local
106 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel_2()
117 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
140 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_VALID_relaxed.model.cpp11 auto op0 = model->addOperand(&type3); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
54 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
63 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_dynamic_output_shape()
74 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
97 auto op0 = model->addOperand(&type3); in CreateModel_2() local
106 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_2()
117 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
140 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_SAME.model.cpp10 auto op0 = model->addOperand(&type2); in CreateModel() local
19 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel()
30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
51 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
60 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_dynamic_output_shape()
71 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
91 auto op0 = model->addOperand(&type2); in CreateModel_2() local
100 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_2()
111 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
132 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local
[all …]
Dconv_3_h3_w2_VALID.model.cpp11 auto op0 = model->addOperand(&type3); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel()
31 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
52 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
61 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_dynamic_output_shape()
72 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_dynamic_output_shape()
93 auto op0 = model->addOperand(&type3); in CreateModel_2() local
102 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel_2()
113 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel_2()
134 auto op0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local
[all …]
Ddepthwise_conv_relaxed.model.cpp10 auto op0 = model->addOperand(&type2); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel()
33 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel()
56 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
66 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel_dynamic_output_shape()
79 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_dynamic_output_shape()
101 auto op0 = model->addOperand(&type2); in CreateModel_2() local
111 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel_2()
124 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_2()
147 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local
[all …]
Ddepthwise_conv.model.cpp10 auto op0 = model->addOperand(&type2); in CreateModel() local
20 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel()
33 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel()
54 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
64 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel_dynamic_output_shape()
77 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_dynamic_output_shape()
97 auto op0 = model->addOperand(&type2); in CreateModel_2() local
107 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel_2()
120 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel_2()
141 auto op0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local
[all …]
/frameworks/ml/nn/runtime/test/
DTestUnspecifiedDimensions.cpp285 auto op0 = model.addOperand(&type0); in TestOne() local
306 model.addOperation(ANEURALNETWORKS_ADD, {op0, op1, act}, {op2}); in TestOne()
309 model.identifyInputsAndOutputs({op0}, {op4}); in TestOne()
311 model.identifyInputsAndOutputs({op0, op3}, {op4}); in TestOne()