| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | resize_nearest_neighbor.mod.py | 20 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
41 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
62 i1 = Input("in", "TENSOR_FLOAT32", "{1, 3, 3, 1}") # input 0 variable
83 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
104 i1 = Input("in", "TENSOR_FLOAT32", "{1, 4, 4, 1}") # input 0 variable
125 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
146 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable
167 i1 = Input("in", "TENSOR_FLOAT32", "{2, 2, 2, 2}") # input 0 variable
201 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
240 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | detection_postprocess.mod.py | 18 i1 = Input("scores", "TENSOR_FLOAT32", "{1, 6, 3}") # scores variable
69 i1 = Input("scores", "TENSOR_FLOAT32", "{1, 6, 3}") # scores variable
120 i1 = Input("scores", "TENSOR_FLOAT32", "{1, 6, 3}") # scores variable
171 i1 = Input("scores", "TENSOR_FLOAT32", "{1, 6, 3}") # scores variable
|
| D | div_v1_2.mod.py | 19 i1 = Input("op1", "TENSOR_FLOAT16", "{3}") # a vector of 3 float16s variable
41 i1 = Input("op1", "TENSOR_FLOAT16", "{2, 2}") variable
73 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 2}") variable
|
| D | mul_v1_2.mod.py | 19 i1 = Input("op1", "TENSOR_FLOAT16", "{3}") # a vector of 3 float16s variable
41 i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2}") variable
73 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 2}") variable
|
| D | add_v1_2.mod.py | 19 i1 = Input("op1", "TENSOR_FLOAT16", "{3}") # a vector of 3 float16s variable
41 i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2}") variable
73 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 2}") variable
|
| D | l2_pool_v1_2.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
67 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
96 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | transpose_v1_2.mod.py | 19 i1 = Input("input", "TENSOR_FLOAT32", "{2, 2}") variable
57 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | resize_bilinear_v1_2.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
103 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
142 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | box_with_nms_limit_linear.mod.py | 18 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
112 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
|
| D | box_with_nms_limit_hard.mod.py | 18 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
105 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
|
| D | box_with_nms_limit_gaussian.mod.py | 18 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
114 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
|
| D | conv2d_per_channel.mod.py | 17 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 3, 1, 2}, 0.5f, 128") variable
57 i1 = Input("in", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 2}, 0.5f, 128") variable
|
| D | generate_proposals.mod.py | 21 i1 = Input("scores", "TENSOR_FLOAT32", "{1, 2, 2, 2}") # scores variable
70 i1 = Input("scores", "TENSOR_FLOAT32", "{2, 4, 4, 4}") # scores variable
|
| D | dequantize_v1_2.mod.py | 99 i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 0") variable
127 i1 = Input("in", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 1}, 0.1f, 128") variable
|
| D | concat_zero_sized.mod.py | 30 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
70 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | conv2d_dilation.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
71 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
|
| D | relu1_v1_2.mod.py | 18 i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2, 2, 1}") # input 0 variable
64 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | relu6_v1_2.mod.py | 18 i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2, 2, 1}") # input 0 variable
64 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | depthwise_conv2d_dilation.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable
75 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable
|
| D | relu_v1_2.mod.py | 18 i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2, 2, 1}") # input 0 variable
64 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | logistic_v1_2.mod.py | 18 i1 = Input("op1", "TENSOR_FLOAT16", "{1, 2, 2, 1}") variable
70 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | max_pool_v1_2.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
123 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
162 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | roi_align.mod.py | 20 i1 = Input("in", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
226 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
|
| D | channel_shuffle.mod.py | 17 i1 = Input("op1", "TENSOR_FLOAT32", "{2, 2, 3, 12}") # input 0 variable
|
| /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()
|