/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
H A D | avg_pool_quant8_signed.mod.py | 54 output_row = (row + 2 * pad - flt + std) // std variable 66 output_values = [127 for _ in range(bat * output_row * output_col * chn)] 91 output_row = (row + 2 * pad - flt + std) // std variable 103 output_values = [-125 for _ in range(bat * output_row * output_col * chn)] 177 output_row = (row + 2 * pad - flt + std) // std variable 181 o2 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 193 o2: [1. for _ in range(bat * output_row * output_col * chn)] 206 output_row = (row + 2 * pad - flt + std) // std variable 222 o3: [.5 for _ in range(bat * output_row * output_col * chn)] 235 output_row = (row + 2 * pad - flt + std) // std variable [all …]
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H A D | max_pool_quant8_signed.mod.py | 51 output_row = (row + 2 * pad - flt + std) // std variable 55 "{%d, %d, %d, %d}, 0.5f, -128" % (bat, output_row, output_col, chn)) 63 output_range = bat * output_row * output_col * chn 90 output_row = (row + 2 * pad - flt + std) // std variable 102 output_range = bat * output_row * output_col * chn 159 output_row = (row + 2 * pad - flt + std) // std variable 163 o2 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 175 o2: [std for _ in range(bat * output_row * output_col * chn)] 188 output_row = (row + 2 * pad - flt + std) // std variable 192 o3 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) [all …]
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H A D | concat_quant8_signed.mod.py | 82 output_row = row1 + row2 variable 87 output = Output("output", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (output_row, col)) 96 output_values = [x % 256 - 128 for x in range(output_row * col)]
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
H A D | avg_pool_v1_2.mod.py | 47 output_row = (row + 2 * pad - flt + std) // std variable 51 o2 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 63 o2: [1. for _ in range(bat * output_row * output_col * chn)] 75 output_row = (row + 2 * pad - flt + std) // std variable 79 o3 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 91 o3: [.5 for _ in range(bat * output_row * output_col * chn)] 103 output_row = (row + 2 * pad - flt + std) // std variable 107 o4 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 119 o4: [6 for _ in range(bat * output_row * output_col * chn)]
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H A D | max_pool_v1_2.mod.py | 45 output_row = (row + 2 * pad - flt + std) // std variable 49 o2 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 61 o2: [std for _ in range(bat * output_row * output_col * chn)] 73 output_row = (row + 2 * pad - flt + std) // std variable 77 o3 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) 89 o3: [6 for _ in range(bat * output_row * output_col * chn)]
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H A D | concat_float16_2.mod.py | 23 output_row = row1 + row2 variable 28 output = Output("output", "TENSOR_FLOAT16", "{%d, %d}" % (output_row, col)) # output 37 output_values = [x for x in range(output_row * col)]
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
H A D | concat_float_2.mod.py | 23 output_row = row1 + row2 variable 28 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (output_row, col)) # output 37 output_values = [x for x in range(output_row * col)]
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H A D | concat_quant8_2.mod.py | 23 output_row = row1 + row2 variable 28 output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (output_row, col)) 37 output_values = [x % 256 for x in range(output_row * col)]
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H A D | avg_pool_float_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 47 output_values = [1. for _ in range(bat * output_row * output_col * chn)]
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H A D | avg_pool_float_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 47 output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
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H A D | avg_pool_float_4.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 47 output_values = [6 for _ in range(bat * output_row * output_col * chn)]
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H A D | avg_pool_quant8_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 47 output_values = [255 for _ in range(bat * output_row * output_col * chn)]
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H A D | avg_pool_quant8_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 47 output_values = [3 for _ in range(bat * output_row * output_col * chn)]
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H A D | max_pool_float_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 48 output_range = bat * output_row * output_col * chn
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H A D | max_pool_quant8_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 48 output_range = bat * output_row * output_col * chn
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H A D | max_pool_float_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 48 output_range = bat * output_row * output_col * chn
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H A D | max_pool_quant8_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 48 output_range = bat * output_row * output_col * chn
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
H A D | concat_float_2_relaxed.mod.py | 23 output_row = row1 + row2 variable 28 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (output_row, col)) # output 38 output_values = [x for x in range(output_row * col)]
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H A D | avg_pool_float_2_relaxed.mod.py | 37 output_row = (row + 2 * pad - flt + std) // std variable 41 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 50 output_values = [1. for _ in range(bat * output_row * output_col * chn)]
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H A D | avg_pool_float_3_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 48 output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
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H A D | avg_pool_float_4_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 48 output_values = [6 for _ in range(bat * output_row * output_col * chn)]
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H A D | max_pool_float_2_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 49 output_range = bat * output_row * output_col * chn
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H A D | max_pool_float_3_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 49 output_range = bat * output_row * output_col * chn
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/aosp12/bootable/recovery/minui/ |
H A D | resources.cpp | 152 static void TransformRgbToDraw(const uint8_t* input_row, uint8_t* output_row, int channels, in TransformRgbToDraw() argument 155 uint8_t* op = output_row; in TransformRgbToDraw() 181 memcpy(output_row, input_row, width * 4); in TransformRgbToDraw()
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