| /frameworks/opt/setupwizard/library/test/instrumentation/src/com/android/setupwizardlib/test/util/ |
| D | MockWindow.java | 117 public boolean performPanelShortcut(int i, int i1, KeyEvent keyEvent, int i2) { in performPanelShortcut()
122 public boolean performPanelIdentifierAction(int i, int i1, int i2) { in performPanelIdentifierAction()
132 public boolean performContextMenuIdentifierAction(int i, int i1) { in performContextMenuIdentifierAction()
147 public void setFeatureDrawableResource(int i, int i1) { in setFeatureDrawableResource()
162 public void setFeatureDrawableAlpha(int i, int i1) { in setFeatureDrawableAlpha()
167 public void setFeatureInt(int i, int i1) { in setFeatureInt()
232 public void setChildInt(int i, int i1) { in setChildInt()
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| /frameworks/ml/nn/tools/test_generator/tests/P_vts_operands/ |
| D | addfloat.mod.py | 4 i1 = Input("operand1","TENSOR_FLOAT32", "{3,4}") variable
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| /frameworks/ml/nn/tools/test_generator/tests/P_float/ |
| D | addfloat.mod.py | 2 i1 = Input("operand1","TENSOR_FLOAT32", "{3,4}") variable
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| /frameworks/ml/nn/runtime/test/specs/ |
| D | l2_normalization_large.mod.py | 18 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable
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| D | relu1_float_1.mod.py | 19 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
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| D | l2_normalization.mod.py | 18 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
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| D | relu6_float_1.mod.py | 19 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
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| D | dequantize.mod.py | 3 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0") variable
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| D | tanh.mod.py | 3 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | floor.mod.py | 3 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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| D | logistic_quant8_1.mod.py | 20 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0") variable
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| D | logistic_float_1.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | relu_float_1.mod.py | 19 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
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| D | space_to_depth_float_2.mod.py | 2 i1 = Input("input", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
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| D | softmax_quant8_2.mod.py | 4 i1 = Input("input", "TENSOR_QUANT8_ASYMM", "{2, 5}, 0.5f, 0") # batch = 2, depth = 5 variable
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| D | softmax_quant8_1.mod.py | 4 i1 = Input("input", "TENSOR_QUANT8_ASYMM", "{1, 4}, 0.5f, 0") # batch = 1, depth = 1 variable
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| D | depth_to_space_float_1.mod.py | 2 i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 8}") variable
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| D | depth_to_space_float_2.mod.py | 2 i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
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| D | space_to_depth_quant8_2.mod.py | 2 i1 = Input("input", "TENSOR_QUANT8_ASYMM", "{1, 4, 4, 1}") variable
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| D | reshape_weights_as_inputs.mod.py | 3 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 3, 3}") # a line of 3 pixels, 3 components/pixel variable
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| D | softmax_float_2.mod.py | 4 i1 = Input("input", "TENSOR_FLOAT32", "{2, 5}") # batch = 2, depth = 5 variable
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| D | depth_to_space_quant8_2.mod.py | 2 i1 = Input("input", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 4}") variable
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| D | softmax_float_1.mod.py | 4 i1 = Input("input", "TENSOR_FLOAT32", "{1, 4}") # batch = 1, depth = 1 variable
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| D | space_to_depth_float_1.mod.py | 2 i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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| /frameworks/ml/nn/tools/test_generator/tests/P_explicit/ |
| D | explicit_add.mod.py | 1 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # input 0 variable
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