| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | l2_normalization_axis.model.cpp | 3 void CreateModel_dim4_axis0(Model *model) { in CreateModel_dim4_axis0() argument
7 auto op1 = model->addOperand(&type2); in CreateModel_dim4_axis0()
8 auto axis = model->addOperand(&type1); in CreateModel_dim4_axis0()
9 auto op2 = model->addOperand(&type2); in CreateModel_dim4_axis0()
12 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); in CreateModel_dim4_axis0()
13 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1, axis}, {op2}); in CreateModel_dim4_axis0()
15 model->identifyInputsAndOutputs( in CreateModel_dim4_axis0()
18 assert(model->isValid()); in CreateModel_dim4_axis0()
26 void CreateModel_dim4_axis0_relaxed(Model *model) { in CreateModel_dim4_axis0_relaxed() argument
30 auto op1 = model->addOperand(&type2); in CreateModel_dim4_axis0_relaxed()
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| D | depthwise_conv2d_dilation.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
10 auto op1 = model->addOperand(&type1); in CreateModel_nhwc()
11 auto op2 = model->addOperand(&type2); in CreateModel_nhwc()
12 auto op3 = model->addOperand(&type3); in CreateModel_nhwc()
13 auto param = model->addOperand(&type4); in CreateModel_nhwc()
14 auto param1 = model->addOperand(&type4); in CreateModel_nhwc()
15 auto param2 = model->addOperand(&type4); in CreateModel_nhwc()
16 auto param3 = model->addOperand(&type4); in CreateModel_nhwc()
17 auto param4 = model->addOperand(&type4); in CreateModel_nhwc()
18 auto param5 = model->addOperand(&type4); in CreateModel_nhwc()
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| D | concat_zero_sized.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
17 auto scores = model->addOperand(&type0); in CreateModel()
18 auto roi = model->addOperand(&type1); in CreateModel()
19 auto param = model->addOperand(&type5); in CreateModel()
20 auto param1 = model->addOperand(&type6); in CreateModel()
21 auto param2 = model->addOperand(&type7); in CreateModel()
22 auto param3 = model->addOperand(&type7); in CreateModel()
23 auto param4 = model->addOperand(&type6); in CreateModel()
24 auto param5 = model->addOperand(&type6); in CreateModel()
25 auto param6 = model->addOperand(&type6); in CreateModel()
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| D | avg_pool_v1_2.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
8 auto op1 = model->addOperand(&type1); in CreateModel_nhwc()
9 auto param = model->addOperand(&type2); in CreateModel_nhwc()
10 auto param1 = model->addOperand(&type2); in CreateModel_nhwc()
11 auto param2 = model->addOperand(&type2); in CreateModel_nhwc()
12 auto param3 = model->addOperand(&type2); in CreateModel_nhwc()
13 auto param4 = model->addOperand(&type2); in CreateModel_nhwc()
14 auto param5 = model->addOperand(&type2); in CreateModel_nhwc()
15 auto param6 = model->addOperand(&type2); in CreateModel_nhwc()
16 auto param7 = model->addOperand(&type2); in CreateModel_nhwc()
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| D | l2_pool_v1_2.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
8 auto op1 = model->addOperand(&type1); in CreateModel_nhwc()
9 auto param = model->addOperand(&type2); in CreateModel_nhwc()
10 auto param1 = model->addOperand(&type2); in CreateModel_nhwc()
11 auto param2 = model->addOperand(&type2); in CreateModel_nhwc()
12 auto param3 = model->addOperand(&type2); in CreateModel_nhwc()
13 auto param4 = model->addOperand(&type2); in CreateModel_nhwc()
14 auto param5 = model->addOperand(&type2); in CreateModel_nhwc()
15 auto param6 = model->addOperand(&type2); in CreateModel_nhwc()
16 auto param7 = model->addOperand(&type2); in CreateModel_nhwc()
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| D | fully_connected_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
9 auto op1 = model->addOperand(&type0); in CreateModel()
10 auto op2 = model->addOperand(&type1); in CreateModel()
11 auto b0 = model->addOperand(&type2); in CreateModel()
12 auto act = model->addOperand(&type3); in CreateModel()
13 auto op3 = model->addOperand(&type0); in CreateModel()
16 model->setOperandValue(op2, op2_init, sizeof(float) * 1); in CreateModel()
18 model->setOperandValue(b0, b0_init, sizeof(float) * 1); in CreateModel()
20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
21 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); in CreateModel()
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| D | grouped_conv2d.model.cpp | 3 void CreateModel_nhwc_none(Model *model) { in CreateModel_nhwc_none() argument
11 auto op1 = model->addOperand(&type1); in CreateModel_nhwc_none()
12 auto op2 = model->addOperand(&type2); in CreateModel_nhwc_none()
13 auto op3 = model->addOperand(&type3); in CreateModel_nhwc_none()
14 auto param = model->addOperand(&type4); in CreateModel_nhwc_none()
15 auto param1 = model->addOperand(&type4); in CreateModel_nhwc_none()
16 auto param2 = model->addOperand(&type4); in CreateModel_nhwc_none()
17 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_none()
18 auto param4 = model->addOperand(&type4); in CreateModel_nhwc_none()
19 auto param5 = model->addOperand(&type4); in CreateModel_nhwc_none()
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| D | resize_bilinear_v1_2.model.cpp | 3 void CreateModel_shape_nhwc(Model *model) { in CreateModel_shape_nhwc() argument
9 auto op1 = model->addOperand(&type1); in CreateModel_shape_nhwc()
10 auto param = model->addOperand(&type3); in CreateModel_shape_nhwc()
11 auto param1 = model->addOperand(&type3); in CreateModel_shape_nhwc()
12 auto layout = model->addOperand(&type0); in CreateModel_shape_nhwc()
13 auto op4 = model->addOperand(&type2); in CreateModel_shape_nhwc()
16 model->setOperandValue(param, param_init, sizeof(int32_t) * 1); in CreateModel_shape_nhwc()
18 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_shape_nhwc()
20 model->setOperandValue(layout, layout_init, sizeof(bool8) * 1); in CreateModel_shape_nhwc()
21 model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, param, param1, layout}, {op4}); in CreateModel_shape_nhwc()
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| D | depthwise_conv2d_v1_2.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
10 auto op1 = model->addOperand(&type1); in CreateModel_nhwc()
11 auto op2 = model->addOperand(&type2); in CreateModel_nhwc()
12 auto op3 = model->addOperand(&type3); in CreateModel_nhwc()
13 auto param = model->addOperand(&type4); in CreateModel_nhwc()
14 auto param1 = model->addOperand(&type4); in CreateModel_nhwc()
15 auto param2 = model->addOperand(&type4); in CreateModel_nhwc()
16 auto param3 = model->addOperand(&type4); in CreateModel_nhwc()
17 auto param4 = model->addOperand(&type4); in CreateModel_nhwc()
18 auto param5 = model->addOperand(&type4); in CreateModel_nhwc()
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| D | logistic_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
6 auto op1 = model->addOperand(&type0); in CreateModel()
7 auto op3 = model->addOperand(&type0); in CreateModel()
9 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3}); in CreateModel()
11 model->identifyInputsAndOutputs( in CreateModel()
14 assert(model->isValid()); in CreateModel()
22 void CreateModel_dynamic_output_shape(Model *model) { in CreateModel_dynamic_output_shape() argument
26 auto op1 = model->addOperand(&type0); in CreateModel_dynamic_output_shape()
27 auto op3 = model->addOperand(&type13); in CreateModel_dynamic_output_shape()
29 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3}); in CreateModel_dynamic_output_shape()
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| D | relu_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
6 auto op1 = model->addOperand(&type0); in CreateModel()
7 auto op2 = model->addOperand(&type0); in CreateModel()
9 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel()
11 model->identifyInputsAndOutputs( in CreateModel()
14 assert(model->isValid()); in CreateModel()
22 void CreateModel_dynamic_output_shape(Model *model) { in CreateModel_dynamic_output_shape() argument
26 auto op1 = model->addOperand(&type0); in CreateModel_dynamic_output_shape()
27 auto op2 = model->addOperand(&type13); in CreateModel_dynamic_output_shape()
29 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel_dynamic_output_shape()
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| D | tanh_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
6 auto input0 = model->addOperand(&type0); in CreateModel()
7 auto output0 = model->addOperand(&type0); in CreateModel()
9 model->addOperation(ANEURALNETWORKS_TANH, {input0}, {output0}); in CreateModel()
11 model->identifyInputsAndOutputs( in CreateModel()
14 assert(model->isValid()); in CreateModel()
22 void CreateModel_dynamic_output_shape(Model *model) { in CreateModel_dynamic_output_shape() argument
26 auto input0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape()
27 auto output0 = model->addOperand(&type14); in CreateModel_dynamic_output_shape()
29 model->addOperation(ANEURALNETWORKS_TANH, {input0}, {output0}); in CreateModel_dynamic_output_shape()
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| D | relu6_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
6 auto op1 = model->addOperand(&type0); in CreateModel()
7 auto op2 = model->addOperand(&type0); in CreateModel()
9 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel()
11 model->identifyInputsAndOutputs( in CreateModel()
14 assert(model->isValid()); in CreateModel()
22 void CreateModel_dynamic_output_shape(Model *model) { in CreateModel_dynamic_output_shape() argument
26 auto op1 = model->addOperand(&type0); in CreateModel_dynamic_output_shape()
27 auto op2 = model->addOperand(&type13); in CreateModel_dynamic_output_shape()
29 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel_dynamic_output_shape()
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| D | relu1_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
6 auto op1 = model->addOperand(&type0); in CreateModel()
7 auto op2 = model->addOperand(&type0); in CreateModel()
9 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel()
11 model->identifyInputsAndOutputs( in CreateModel()
14 assert(model->isValid()); in CreateModel()
22 void CreateModel_dynamic_output_shape(Model *model) { in CreateModel_dynamic_output_shape() argument
26 auto op1 = model->addOperand(&type0); in CreateModel_dynamic_output_shape()
27 auto op2 = model->addOperand(&type13); in CreateModel_dynamic_output_shape()
29 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel_dynamic_output_shape()
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| D | max_pool_v1_2.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
8 auto op1 = model->addOperand(&type1); in CreateModel_nhwc()
9 auto param = model->addOperand(&type2); in CreateModel_nhwc()
10 auto param1 = model->addOperand(&type2); in CreateModel_nhwc()
11 auto param2 = model->addOperand(&type2); in CreateModel_nhwc()
12 auto param3 = model->addOperand(&type2); in CreateModel_nhwc()
13 auto param4 = model->addOperand(&type2); in CreateModel_nhwc()
14 auto param5 = model->addOperand(&type2); in CreateModel_nhwc()
15 auto param6 = model->addOperand(&type2); in CreateModel_nhwc()
16 auto param7 = model->addOperand(&type2); in CreateModel_nhwc()
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| D | l2_normalization_v1_2.model.cpp | 3 void CreateModel_dim4_axis3(Model *model) { in CreateModel_dim4_axis3() argument
6 auto op1 = model->addOperand(&type0); in CreateModel_dim4_axis3()
7 auto op2 = model->addOperand(&type0); in CreateModel_dim4_axis3()
9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dim4_axis3()
11 model->identifyInputsAndOutputs( in CreateModel_dim4_axis3()
14 assert(model->isValid()); in CreateModel_dim4_axis3()
22 void CreateModel_dim4_axis3_relaxed(Model *model) { in CreateModel_dim4_axis3_relaxed() argument
25 auto op1 = model->addOperand(&type0); in CreateModel_dim4_axis3_relaxed()
26 auto op2 = model->addOperand(&type0); in CreateModel_dim4_axis3_relaxed()
28 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dim4_axis3_relaxed()
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| D | instance_normalization.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
8 auto in = model->addOperand(&type1); in CreateModel_nhwc()
9 auto param = model->addOperand(&type2); in CreateModel_nhwc()
10 auto param1 = model->addOperand(&type2); in CreateModel_nhwc()
11 auto param2 = model->addOperand(&type2); in CreateModel_nhwc()
12 auto layout = model->addOperand(&type0); in CreateModel_nhwc()
13 auto out = model->addOperand(&type1); in CreateModel_nhwc()
16 model->setOperandValue(param, param_init, sizeof(float) * 1); in CreateModel_nhwc()
18 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_nhwc()
20 model->setOperandValue(param2, param2_init, sizeof(float) * 1); in CreateModel_nhwc()
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| D | roi_align.model.cpp | 3 void CreateModel_nhwc(Model *model) { in CreateModel_nhwc() argument
12 auto in = model->addOperand(&type1); in CreateModel_nhwc()
13 auto roi = model->addOperand(&type2); in CreateModel_nhwc()
14 auto param = model->addOperand(&type4); in CreateModel_nhwc()
15 auto param1 = model->addOperand(&type5); in CreateModel_nhwc()
16 auto param2 = model->addOperand(&type5); in CreateModel_nhwc()
17 auto param3 = model->addOperand(&type6); in CreateModel_nhwc()
18 auto param4 = model->addOperand(&type6); in CreateModel_nhwc()
19 auto param5 = model->addOperand(&type5); in CreateModel_nhwc()
20 auto param6 = model->addOperand(&type5); in CreateModel_nhwc()
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| D | transpose_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
7 auto input = model->addOperand(&type0); in CreateModel()
8 auto perms = model->addOperand(&type1); in CreateModel()
9 auto output = model->addOperand(&type0); in CreateModel()
11 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); in CreateModel()
13 model->identifyInputsAndOutputs( in CreateModel()
16 assert(model->isValid()); in CreateModel()
24 void CreateModel_relaxed(Model *model) { in CreateModel_relaxed() argument
28 auto input = model->addOperand(&type0); in CreateModel_relaxed()
29 auto perms = model->addOperand(&type1); in CreateModel_relaxed()
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| D | cast.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
6 auto input0 = model->addOperand(&type0); in CreateModel()
7 auto output0 = model->addOperand(&type0); in CreateModel()
9 model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output0}); in CreateModel()
11 model->identifyInputsAndOutputs( in CreateModel()
14 assert(model->isValid()); in CreateModel()
22 void CreateModel_dynamic_output_shape(Model *model) { in CreateModel_dynamic_output_shape() argument
26 auto input0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape()
27 auto output0 = model->addOperand(&type8); in CreateModel_dynamic_output_shape()
29 model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output0}); in CreateModel_dynamic_output_shape()
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| D | depthwise_conv2d_per_channel.model.cpp | 3 void CreateModel_same(Model *model) { in CreateModel_same() argument
10 auto op1 = model->addOperand(&type0); in CreateModel_same()
11 auto op2 = model->addOperand(&type1); in CreateModel_same()
12 auto op3 = model->addOperand(&type2); in CreateModel_same()
13 auto param = model->addOperand(&type4); in CreateModel_same()
14 auto param1 = model->addOperand(&type4); in CreateModel_same()
15 auto param2 = model->addOperand(&type4); in CreateModel_same()
16 auto param3 = model->addOperand(&type4); in CreateModel_same()
17 auto param4 = model->addOperand(&type4); in CreateModel_same()
18 auto param5 = model->addOperand(&type4); in CreateModel_same()
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| D | softmax_v1_2.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
7 auto op1 = model->addOperand(&type0); in CreateModel()
8 auto param = model->addOperand(&type2); in CreateModel()
9 auto op2 = model->addOperand(&type0); in CreateModel()
12 model->setOperandValue(param, param_init, sizeof(float) * 1); in CreateModel()
13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param}, {op2}); in CreateModel()
15 model->identifyInputsAndOutputs( in CreateModel()
18 assert(model->isValid()); in CreateModel()
26 void CreateModel_dim1_axis0(Model *model) { in CreateModel_dim1_axis0() argument
30 auto op1 = model->addOperand(&type12); in CreateModel_dim1_axis0()
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| D | detection_postprocess.model.cpp | 3 void CreateModel_regular(Model *model) { in CreateModel_regular() argument
15 auto scores = model->addOperand(&type0); in CreateModel_regular()
16 auto roi = model->addOperand(&type1); in CreateModel_regular()
17 auto anchors = model->addOperand(&type2); in CreateModel_regular()
18 auto param = model->addOperand(&type7); in CreateModel_regular()
19 auto param1 = model->addOperand(&type7); in CreateModel_regular()
20 auto param2 = model->addOperand(&type7); in CreateModel_regular()
21 auto param3 = model->addOperand(&type7); in CreateModel_regular()
22 auto param4 = model->addOperand(&type8); in CreateModel_regular()
23 auto param5 = model->addOperand(&type9); in CreateModel_regular()
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| D | slice.model.cpp | 3 void CreateModel(Model *model) { in CreateModel() argument
8 auto input = model->addOperand(&type0); in CreateModel()
9 auto begin = model->addOperand(&type1); in CreateModel()
10 auto size = model->addOperand(&type1); in CreateModel()
11 auto output = model->addOperand(&type2); in CreateModel()
13 model->addOperation(ANEURALNETWORKS_SLICE, {input, begin, size}, {output}); in CreateModel()
15 model->identifyInputsAndOutputs( in CreateModel()
18 assert(model->isValid()); in CreateModel()
26 void CreateModel_relaxed(Model *model) { in CreateModel_relaxed() argument
31 auto input = model->addOperand(&type0); in CreateModel_relaxed()
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| D | bbox_graph.model.cpp | 3 void CreateModel_zero_sized(Model *model) { in CreateModel_zero_sized() argument
22 auto scores = model->addOperand(&type1); in CreateModel_zero_sized()
23 auto deltas = model->addOperand(&type2); in CreateModel_zero_sized()
24 auto anchors = model->addOperand(&type3); in CreateModel_zero_sized()
25 auto imageInfo = model->addOperand(&type4); in CreateModel_zero_sized()
26 auto param = model->addOperand(&type8); in CreateModel_zero_sized()
27 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized()
28 auto param2 = model->addOperand(&type9); in CreateModel_zero_sized()
29 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized()
30 auto param4 = model->addOperand(&type8); in CreateModel_zero_sized()
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