| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| H A D | resize_nearest_neighbor_v1_3.mod.py | 30 input0: input0_data,
46 input0_data=[1, 2, 3, 4, 5, 1, 2, 3, 4, 5],
59 input0_data=[1, 2, 3, 4],
72 input0_data=[1, 2, 3, 4],
85 input0_data=[1, 2, 3, 4],
111 input0_data=[1, 2, 3, 4],
124 input0_data=[1, 2, 3, 4],
153 input0_data=[1, 2, 3, 4],
166 input0_data=[1, 2, 3, 4],
179 input0_data=[1, 2, 3, 4, 5, 6, 7, 8, 9],
[all …]
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| H A D | equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
19 input0: input0_data,
29 input0_data=[1, 2, 3], # effectively 1, 2, 3
39 input0_data=[1, 2, 3], # effectively 1, 2, 3
49 input0_data=[-128],
59 input0_data=[72],
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| H A D | greater_equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
19 input0: input0_data,
29 input0_data=[1, 2, 3], # effectively 1, 2, 3
39 input0_data=[1, 2, 3], # effectively 1, 2, 3
49 input0_data=[-128],
59 input0_data=[72],
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| H A D | greater_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
19 input0: input0_data,
29 input0_data=[1, 2, 3], # effectively 1, 2, 3
39 input0_data=[1, 2, 3], # effectively 1, 2, 3
49 input0_data=[-128],
59 input0_data=[72],
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| H A D | less_equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
19 input0: input0_data,
29 input0_data=[1, 2, 3], # effectively 1, 2, 3
39 input0_data=[1, 2, 3], # effectively 1, 2, 3
49 input0_data=[-128],
59 input0_data=[72],
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| H A D | less_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
19 input0: input0_data,
29 input0_data=[1, 2, 3], # effectively 1, 2, 3
39 input0_data=[1, 2, 3], # effectively 1, 2, 3
49 input0_data=[-128],
59 input0_data=[72],
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| H A D | not_equal_quant8_signed.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
19 input0: input0_data,
29 input0_data=[1, 2, 3], # effectively 1, 2, 3
39 input0_data=[1, 2, 3], # effectively 1, 2, 3
49 input0_data=[-128],
59 input0_data=[72],
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| H A D | resize_bilinear_v1_3.mod.py | 24 input0_data, argument
43 input0: input0_data,
59 input0_data=[1, 2, 3, 4, 1, 2, 3, 4],
74 input0_data=[
283 input0_data=[
491 input0_data=[1, 2, 3, 4],
504 input0_data=[1, 2, 3, 4],
517 input0_data=[1, 2, 3, 4, 5, 6, 7, 8, 9],
530 input0_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
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| H A D | elu.mod.py | 17 def test(name, input0, alpha, output0, input0_data, output0_data): argument
20 input0: input0_data,
29 input0_data=[0, -6, 2, -4, 3, -2, 10, -0.1],
38 input0_data=[-0.2, -0.1, 0.0, 0.1],
47 input0_data=[-10, -5, 0, 5],
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| H A D | select_quant8_signed.mod.py | 16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
24 input0: input0_data,
36 input0_data=[True, False, True],
48 input0_data=[False, True, False, True],
60 input0_data=[True, False, True, False, True, False, True, False],
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| H A D | hard_swish.mod.py | 18 def test(name, input0, output0, input0_data, output0_data): argument
37 input0: input0_data,
50 input0_data=[
71 input0_data=[
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| H A D | maximum_quant8_signed.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
27 input0: input0_data,
38 input0_data=[1.0, 0.0, -1.0, 11.0, -2.0, -1.44],
48 input0_data=[1.0, 0.0, -1.0, -2.0, -1.44, 11.0],
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| H A D | minimum_quant8_signed.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
27 input0: input0_data,
38 input0_data=[1.0, 0.0, -1.0, 11.0, -2.0, -1.44],
48 input0_data=[1.0, 0.0, -1.0, -2.0, -1.44, 11.0],
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| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| H A D | equal.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
19 input0: input0_data,
31 input0_data=[5, 7, 10],
41 input0_data=[5, 10],
51 input0_data=[129, 130, 131], # effectively 1, 2, 3
62 input0_data=[129, 130, 131], # effectively 1, 2, 3
73 input0_data=[0],
84 input0_data=[200],
95 input0_data=[False, True, False, True],
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| H A D | greater.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
19 input0: input0_data,
31 input0_data=[5, 7, 10],
41 input0_data=[5, 10],
51 input0_data=[129, 130, 131], # effectively 1, 2, 3
62 input0_data=[129, 130, 131], # effectively 1, 2, 3
73 input0_data=[0],
84 input0_data=[200],
95 input0_data=[False, True, False, True],
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| H A D | greater_equal.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
19 input0: input0_data,
31 input0_data=[5, 7, 10],
41 input0_data=[5, 10],
51 input0_data=[129, 130, 131], # effectively 1, 2, 3
62 input0_data=[129, 130, 131], # effectively 1, 2, 3
73 input0_data=[0],
84 input0_data=[200],
95 input0_data=[False, True, False, True],
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| H A D | less.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
19 input0: input0_data,
31 input0_data=[5, 7, 10],
41 input0_data=[5, 10],
51 input0_data=[129, 130, 131], # effectively 1, 2, 3
62 input0_data=[129, 130, 131], # effectively 1, 2, 3
73 input0_data=[0],
84 input0_data=[200],
95 input0_data=[False, True, False, True],
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| H A D | less_equal.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
19 input0: input0_data,
31 input0_data=[5, 7, 10],
41 input0_data=[5, 10],
51 input0_data=[129, 130, 131], # effectively 1, 2, 3
62 input0_data=[129, 130, 131], # effectively 1, 2, 3
73 input0_data=[0],
84 input0_data=[200],
95 input0_data=[False, True, False, True],
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| H A D | not_equal.mod.py | 16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
19 input0: input0_data,
31 input0_data=[5, 7, 10],
41 input0_data=[5, 10],
51 input0_data=[129, 130, 131], # effectively 1, 2, 3
62 input0_data=[129, 130, 131], # effectively 1, 2, 3
73 input0_data=[0],
84 input0_data=[200],
95 input0_data=[False, True, False, True],
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| H A D | dequantize_v1_2.mod.py | 18 def test(name, input0, output0, input0_data, output0_data): argument
21 input0: input0_data,
32 input0_data=[0, 1, 2, 3, 4, 251, 252, 253, 254, 255],
40 input0_data=[0, 1, 2, 3, 4, 251, 252, 253, 254, 255],
48 input0_data=[-128, -127, -126, -125, 124, 125, 126, 127],
56 input0_data=[-128, -127, -126, -125, 124, 125, 126, 127],
66 input0_data=[
83 input0_data=[
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| H A D | select_v1_2.mod.py | 16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
24 input0: input0_data,
36 input0_data=[True, False, True],
48 input0_data=[False, True, False, True],
60 input0_data=[True, False, True, False, True, False, True, False],
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| H A D | logical_and.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
20 input0: input0_data,
30 input0_data=[True, False, False, True],
40 input0_data=[True, False, False, True],
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| H A D | logical_or.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
20 input0: input0_data,
30 input0_data=[True, False, False, True],
40 input0_data=[True, False, False, True],
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| H A D | maximum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
27 input0: input0_data,
38 input0_data=[1.0, 0.0, -1.0, 11.0, -2.0, -1.44],
48 input0_data=[1.0, 0.0, -1.0, -2.0, -1.44, 11.0],
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| H A D | minimum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
27 input0: input0_data,
38 input0_data=[1.0, 0.0, -1.0, 11.0, -2.0, -1.44],
48 input0_data=[1.0, 0.0, -1.0, -2.0, -1.44, 11.0],
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