/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | avg_pool_float_3.mod.py | 20 bat = 1 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 45 input_values = [x % 2 for x in range(bat * row * col * chn)] 47 output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
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D | avg_pool_float_4.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 45 input_values = [10 for _ in range(bat * row * col * chn)] 47 output_values = [6 for _ in range(bat * output_row * output_col * chn)]
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D | avg_pool_quant8_3.mod.py | 20 bat = 1 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 45 input_values = [x % 4 * 2 for x in range(bat * row * col * chn)] 47 output_values = [3 for _ in range(bat * output_row * output_col * chn)]
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D | avg_pool_float_2.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 45 input_values = [1. for _ in range(bat * row * col * chn)] 47 output_values = [1. for _ in range(bat * output_row * output_col * chn)]
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D | avg_pool_quant8_2.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 45 input_values = [255 for _ in range(bat * row * col * chn)] 47 output_values = [255 for _ in range(bat * output_row * output_col * chn)]
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D | max_pool_quant8_3.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 45 input_range = bat * row * col * chn 48 output_range = bat * output_row * output_col * chn
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D | max_pool_float_3.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 45 input_range = bat * row * col * chn 48 output_range = bat * output_row * output_col * chn
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D | max_pool_quant8_2.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 45 input_range = bat * row * col * chn 48 output_range = bat * output_row * output_col * chn
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D | max_pool_float_2.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 45 input_range = bat * row * col * chn 48 output_range = bat * output_row * output_col * chn
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | avg_pool_float_2_relaxed.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 46 input_values = [1. for _ in range(bat * row * col * chn)] 48 output_values = [1. for _ in range(bat * output_row * output_col * chn)]
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D | avg_pool_float_4_relaxed.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 46 input_values = [10 for _ in range(bat * row * col * chn)] 48 output_values = [6 for _ in range(bat * output_row * output_col * chn)]
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D | avg_pool_float_3_relaxed.mod.py | 20 bat = 1 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 46 input_values = [x % 2 for x in range(bat * row * col * chn)] 48 output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
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D | max_pool_float_3_relaxed.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 46 input_range = bat * row * col * chn 49 output_range = bat * output_row * output_col * chn
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D | max_pool_float_2_relaxed.mod.py | 20 bat = 5 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 46 input_range = bat * row * col * chn 49 output_range = bat * output_row * output_col * chn
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/frameworks/base/tools/aapt2/ |
D | ResourceParser_test.cpp | 380 <enum name="bat" value="1"/> in TEST_F() 407 <flag name="bat" value="1"/> in TEST_F() 439 <enum name="bat" value="1"/> in TEST_F() 440 <enum name="bat" value="2"/> in TEST_F() 449 <item name="bat">@string/hey</item> in TEST_F() 553 attr = test::GetValue<Attribute>(&table_, "attr/bat"); in TEST_F() 569 EXPECT_THAT(styleable->entries[1].name, Eq(make_value(test::ParseNameOrDie("attr/bat")))); in TEST_F()
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/frameworks/compile/mclinker/unittests/ |
D | test3.txt | 233 echo "==> Adding updated djunpack.bat to top-level directory" 235 sed < djunpack.bat > djunpack.new \ 237 -rm -f proto-toplev/djunpack.bat 238 mv djunpack.new proto-toplev/djunpack.bat
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/frameworks/base/core/java/android/os/ |
D | BatteryStats.java | 1722 int bat = (((int)cmd)&0xff) in writeToParcel() local 1730 dest.writeInt(bat); in writeToParcel() 1731 bat = (((int)batteryTemperature)&0xffff) in writeToParcel() 1733 dest.writeInt(bat); in writeToParcel() 1754 int bat = src.readInt(); in readFromParcel() local 1755 cmd = (byte)(bat&0xff); in readFromParcel() 1756 batteryLevel = (byte)((bat>>8)&0xff); in readFromParcel() 1757 batteryStatus = (byte)((bat>>16)&0xf); in readFromParcel() 1758 batteryHealth = (byte)((bat>>20)&0xf); in readFromParcel() 1759 batteryPlugType = (byte)((bat>>24)&0xf); in readFromParcel() [all …]
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/frameworks/support/work/integration-tests/testapp/src/main/assets/ |
D | case.txt | 7093 bat glued against the side of his own house, a great square dark
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