Searched refs:output_values (Results 1 - 25 of 32) sorted by relevance

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/frameworks/ml/nn/runtime/test/specs/V1_0/
H A Dlogistic_float_2.mod.py35 output_values = [1. / (1. + math.exp(-x)) for x in input_values] variable
36 output0 = {output: output_values}
H A Dlogistic_quant8_2.mod.py35 output_values = [ variable
39 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 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_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 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 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 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 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 Dconcat_float_2.mod.py37 output_values = [x for x in range(output_row * col)] variable
38 output0 = {output: output_values}
H A Dconcat_quant8_2.mod.py37 output_values = [x % 256 for x in range(output_row * col)] variable
38 output0 = {output: output_values}
H A Davg_pool_float_2.mod.py47 output_values = [1. for _ in range(bat * output_row * output_col * chn)] variable
48 output0 = {output: output_values}
H A Davg_pool_float_3.mod.py47 output_values = [.5 for _ in range(bat * output_row * output_col * chn)] variable
48 output0 = {output: output_values}
H A Davg_pool_float_4.mod.py47 output_values = [6 for _ in range(bat * output_row * output_col * chn)] variable
48 output0 = {output: output_values}
H A Davg_pool_quant8_2.mod.py47 output_values = [255 for _ in range(bat * output_row * output_col * chn)] variable
48 output0 = {output: output_values}
H A Davg_pool_quant8_3.mod.py47 output_values = [3 for _ in range(bat * output_row * output_col * chn)] variable
48 output0 = {output: output_values}
H A Dmax_pool_float_2.mod.py49 output_values = (lambda s = std, r = output_range: [ s for _ in range(r)])() variable
50 output0 = {output: output_values}
H A Dmax_pool_float_3.mod.py49 output_values = (lambda r = output_range: [ 6 for _ in range(r)])() variable
50 output0 = {output: output_values}
/frameworks/ml/nn/runtime/test/specs/V1_1/
H A Dlogistic_float_2_relaxed.mod.py36 output_values = [1. / (1. + math.exp(-x)) for x in input_values] variable
37 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 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 Dconcat_float_2_relaxed.mod.py38 output_values = [x for x in range(output_row * col)] variable
39 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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