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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dtile_quant8_signed.mod.py25 output_values = input_values + input_values variable
35 output0: output_values,
49 output_values = [11, 12, 13, variable
62 output0: output_values,
76 output_values = [11, 12, 13, 21, 22, 23, 11, 12, 13, variable
89 output0: output_values,
H A Dsub_quant8_signed.mod.py37 output_values = [sub_quantized(a, b) for a, b in inputs]
38 size = len(output_values)
50 output0: output_values,
75 output_values = [-29, 70, variable
81 output0: output_values,
98 output_values = [max(-128, (a - b) - 128) for a, b in zip(input0_values, input1_values)] variable
103 output0: output_values,
H A Dconcat_quant8_signed.mod.py96 output_values = [x % 256 - 128 for x in range(output_row * col)] variable
97 output0 = {output: output_values}
123 output_values = [x for x in range(row * output_col)] variable
126 output_values[r * output_col + c1] = input1_values[r * col1 + c1]
128 output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2]
130 output0 = {output: output_values}
H A Drelu_quant8_signed.mod.py63 output_values = (lambda r = rng: [x % 256 if x % 256 > 128 else 128 for x in range(r)])() variable
64 output0 = {output: output_values}
67 output0 = {output: [value - 128 for value in output_values]}
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dsub_v1_2_broadcast.mod.py28 output_values = [9.9, 19.8, variable
34 output0: output_values,
49 output_values = [99, 198, variable
55 output0: output_values,
H A Dconcat_float16_3.mod.py37 output_values = [x for x in range(row * output_col)] variable
40 output_values[r * output_col + c1] = input1_values[r * col1 + c1]
42 output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2]
44 output0 = {output: output_values}
H A Dsub_quantized_different_scales.mod.py36 output_values = [sub_quantized(a, b) for a, b in inputs]
37 size = len(output_values)
49 output0: output_values,
H A Dtile_1.mod.py25 output_values = input_values + input_values variable
40 output0: output_values,
H A Dtile_2.mod.py26 output_values = [11, 12, 13, variable
49 output0: output_values,
H A Dtile_3.mod.py26 output_values = [11, 12, 13, 21, 22, 23, 11, 12, 13, variable
49 output0: output_values,
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Dconcat_float_3.mod.py37 output_values = [x for x in range(row * output_col)] variable
40 output_values[r * output_col + c1] = input1_values[r * col1 + c1]
42 output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2]
44 output0 = {output: output_values}
H A Dconcat_quant8_3.mod.py37 output_values = [x for x in range(row * output_col)] variable
40 output_values[r * output_col + c1] = input1_values[r * col1 + c1]
42 output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2]
44 output0 = {output: output_values}
H A Drelu1_quant8_2.mod.py35 output_values = [127 if x < 127 else 129 if x > 129 else x for x in input_values] variable
36 output0 = {output: output_values}
H A Drelu6_quant8_2.mod.py35 output_values = [128 if x < 128 else 134 if x > 134 else x for x in input_values] variable
36 output0 = {output: output_values}
H A Dlogistic_float_2.mod.py37 output_values = [1. / (1. + math.exp(-x)) for x in input_values] variable
38 output0 = {output: output_values}
H A Drelu1_float_2.mod.py35 output_values = [-1 if x < -1 else 1 if x > 1 else x for x in input_values] variable
36 output0 = {output: output_values}
H A Drelu6_float_2.mod.py35 output_values = [0 if x < 0 else 6 if x > 6 else x for x in input_values] variable
36 output0 = {output: output_values}
H A Drelu_quant8_2.mod.py35 output_values = (lambda r = rng: [x % 256 if x % 256 > 128 else 128 for x in range(r)])() variable
36 output0 = {output: output_values}
H A Drelu_float_2.mod.py35 output_values = (lambda r = rng: [x * (x % 2) for x in range(r)])() variable
36 output0 = {output: output_values}
H A Dlogistic_quant8_2.mod.py37 output_values = [ variable
41 output0 = {output: output_values}
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Dconcat_float_3_relaxed.mod.py38 output_values = [x for x in range(row * output_col)] variable
41 output_values[r * output_col + c1] = input1_values[r * col1 + c1]
43 output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2]
45 output0 = {output: output_values}
H A Dlogistic_float_2_relaxed.mod.py38 output_values = [1. / (1. + math.exp(-x)) for x in input_values] variable
39 output0 = {output: output_values}
H A Drelu1_float_2_relaxed.mod.py36 output_values = [-1 if x < -1 else 1 if x > 1 else x for x in input_values] variable
37 output0 = {output: output_values}
H A Drelu6_float_2_relaxed.mod.py36 output_values = [0 if x < 0 else 6 if x > 6 else x for x in input_values] variable
37 output0 = {output: output_values}
H A Drelu_float_2_relaxed.mod.py36 output_values = (lambda r = rng: [x * (x % 2) for x in range(r)])() variable
37 output0 = {output: output_values}

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