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/frameworks/ml/nn/runtime/test/generated/models/
Dsplit_float_4.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_relaxed()
50 {output0, output1}); in CreateModel_relaxed()
70 auto output1 = model->addOperand(&type4); in CreateModel_float16() local
76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_float16()
80 {output0, output1}); in CreateModel_float16()
98 auto output1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local
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Dsplit_float_2.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_relaxed()
50 {output0, output1}); in CreateModel_relaxed()
70 auto output1 = model->addOperand(&type4); in CreateModel_float16() local
76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_float16()
80 {output0, output1}); in CreateModel_float16()
98 auto output1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local
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Dsplit_float_5.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_relaxed()
50 {output0, output1}); in CreateModel_relaxed()
70 auto output1 = model->addOperand(&type4); in CreateModel_float16() local
76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_float16()
80 {output0, output1}); in CreateModel_float16()
98 auto output1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local
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Dsplit_float_3.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel()
23 {output0, output1, output2}); in CreateModel()
41 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed()
52 {output0, output1, output2}); in CreateModel_relaxed()
72 auto output1 = model->addOperand(&type4); in CreateModel_float16() local
79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_float16()
83 {output0, output1, output2}); in CreateModel_float16()
101 auto output1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local
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Dsplit_float_1.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel()
23 {output0, output1, output2}); in CreateModel()
41 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed()
52 {output0, output1, output2}); in CreateModel_relaxed()
72 auto output1 = model->addOperand(&type4); in CreateModel_float16() local
79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_float16()
83 {output0, output1, output2}); in CreateModel_float16()
101 auto output1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape() local
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Dsplit_int32_2.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_relaxed()
50 {output0, output1}); in CreateModel_relaxed()
70 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_dynamic_output_shape()
80 {output0, output1}); in CreateModel_dynamic_output_shape()
98 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local
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Dsplit_int32_4.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_relaxed()
50 {output0, output1}); in CreateModel_relaxed()
70 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_dynamic_output_shape()
80 {output0, output1}); in CreateModel_dynamic_output_shape()
98 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local
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Dsplit_quant8_2.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_relaxed()
50 {output0, output1}); in CreateModel_relaxed()
70 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_dynamic_output_shape()
80 {output0, output1}); in CreateModel_dynamic_output_shape()
98 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local
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Dsplit_int32_3.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel()
23 {output0, output1, output2}); in CreateModel()
41 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed()
52 {output0, output1, output2}); in CreateModel_relaxed()
72 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape()
83 {output0, output1, output2}); in CreateModel_dynamic_output_shape()
101 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local
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Dsplit_int32_1.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel()
23 {output0, output1, output2}); in CreateModel()
41 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed()
52 {output0, output1, output2}); in CreateModel_relaxed()
72 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape()
83 {output0, output1, output2}); in CreateModel_dynamic_output_shape()
101 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local
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Dsplit_quant8_1.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel()
23 {output0, output1, output2}); in CreateModel()
41 auto output1 = model->addOperand(&type2); in CreateModel_relaxed() local
48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_relaxed()
52 {output0, output1, output2}); in CreateModel_relaxed()
72 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
79 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape()
83 {output0, output1, output2}); in CreateModel_dynamic_output_shape()
101 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_relaxed() local
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Dsplit_quant8_4.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel()
22 {output0, output1}); in CreateModel()
40 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); in CreateModel_dynamic_output_shape()
50 {output0, output1}); in CreateModel_dynamic_output_shape()
Dsplit_quant8_3.model.cpp12 auto output1 = model->addOperand(&type2); in CreateModel() local
19 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel()
23 {output0, output1, output2}); in CreateModel()
41 auto output1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
48 …model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}… in CreateModel_dynamic_output_shape()
52 {output0, output1, output2}); in CreateModel_dynamic_output_shape()
Dpow.model.cpp143 auto output1 = model->addOperand(&type4); in CreateModel_2() local
145 model->addOperation(ANEURALNETWORKS_POW, {base, exponent1}, {output1}); in CreateModel_2()
149 {output1}); in CreateModel_2()
165 auto output1 = model->addOperand(&type4); in CreateModel_relaxed_2() local
167 model->addOperation(ANEURALNETWORKS_POW, {base, exponent1}, {output1}); in CreateModel_relaxed_2()
171 {output1}); in CreateModel_relaxed_2()
189 auto output1 = model->addOperand(&type11); in CreateModel_float16_2() local
191 model->addOperation(ANEURALNETWORKS_POW, {base, exponent1}, {output1}); in CreateModel_float16_2()
195 {output1}); in CreateModel_float16_2()
211 auto output1 = model->addOperand(&type8); in CreateModel_dynamic_output_shape_2() local
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/frameworks/ml/nn/runtime/test/specs/V1_2/
Dsplit_quant8_4.mod.py22 output1 = Output("output1", "TENSOR_QUANT8_ASYMM", "{2, 1, 2}, 1.0, 0") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
32 output1: [3, 4, 7, 8],
Dsplit_int32_4.mod.py22 output1 = Output("output1", "TENSOR_INT32", "{2, 1, 2}") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
32 output1: [3, 4, 7, 8],
Dsplit_quant8_2.mod.py22 output1 = Output("output1", "TENSOR_QUANT8_ASYMM", "{1, 3}, 2.0, 3") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
33 output1: [4, 5, 6],
Dsplit_float_4.mod.py22 output1 = Output("output1", "TENSOR_FLOAT32", "{2, 1, 2}") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
32 output1: [3.0, 4.0, 7.0, 8.0],
Dsplit_float_2.mod.py22 output1 = Output("output1", "TENSOR_FLOAT32", "{1, 3}") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
33 output1: [4.0, 5.0, 6.0],
Dsplit_int32_2.mod.py22 output1 = Output("output1", "TENSOR_INT32", "{1, 3}") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
33 output1: [4, 5, 6],
Dsplit_float_5.mod.py22 output1 = Output("output1", "TENSOR_FLOAT32", "{2, 1, 2}") variable
24 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1))
32 output1: [3.0, 4.0, 7.0, 8.0],
Dsplit_quant8_3.mod.py22 output1 = Output("output1", "TENSOR_QUANT8_ASYMM", "{2, 1}, 2.0, 3") variable
25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2))
34 output1: [2, 5],
Dsplit_int32_3.mod.py22 output1 = Output("output1", "TENSOR_INT32", "{2, 1}") variable
25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2))
34 output1: [2, 5],
Dsplit_int32_1.mod.py22 output1 = Output("output1", "TENSOR_INT32", "{2}") variable
25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2))
33 output1: [3, 4],
Dsplit_float_1.mod.py22 output1 = Output("output1", "TENSOR_FLOAT32", "{2}") variable
25 model = Model().Operation("SPLIT", input0, axis, num_splits).To((output0, output1, output2))
33 output1: [3.0, 4.0],

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