/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 239 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
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D | strided_slice_invalid.mod.py | 22 i1 = Input("input", "TENSOR_FLOAT32", "{2, 3}") variable 34 i1 = Input("input", "TENSOR_FLOAT32", "{2, 3}") variable
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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
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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
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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
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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 95 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
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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
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D | transpose_v1_2.mod.py | 19 i1 = Input("input", "TENSOR_FLOAT32", "{2, 2}") variable 61 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
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/frameworks/ml/nn/runtime/test/specs/V1_3/ |
D | resize_quant8_signed.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable 103 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable 141 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable 170 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable 191 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable 212 i1 = Input("in", "TENSOR_FLOAT32", "{1, 3, 3, 1}") # input 0 variable 233 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable 254 i1 = Input("in", "TENSOR_FLOAT32", "{1, 4, 4, 1}") # input 0 variable 275 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable 296 i1 = Input("in", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable [all …]
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D | strided_slice_quant8_signed.mod.py | 18 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128") variable 43 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128") variable 68 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128") variable 93 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128") variable 118 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128") variable 143 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128") variable 168 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128") variable 193 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4}, 1.0, -128") variable 218 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 1.0, -128") variable 243 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 1.0, -128") variable [all …]
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D | box_with_nms_limit_quant8_signed.mod.py | 18 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable 115 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable 204 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable 292 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable 378 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable 473 i1 = Input("scores", "TENSOR_FLOAT32", "{19, 3}") # scores variable
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D | conv2d_quant8_signed.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable 71 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable 149 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3, 1, 2}, 0.5f, 0") variable 189 i1 = Input("in", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 2}, 0.5f, 0") variable 210 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable 364 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable 406 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable 436 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3, 6, 1}, 0.5f, -1") variable 467 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 3}, 0.5f, -128") variable 488 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 3}, 0.5f, -128") variable [all …]
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D | space_to_batch_quant8_signed.mod.py | 18 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4, 4, 1}, 1.0, -128") variable 48 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 5, 2, 1}, 1.0, -128") variable 76 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4, 2, 1}, 1.0, -128") variable 108 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 5, 2, 1}, 1.0, -119") variable 138 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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D | l2_normalization_quant8_signed.mod.py | 17 i1 = Input("op1", "TENSOR_FLOAT32", "{2, 2, 2, 3}") # input 0 variable 51 i1 = Input("op1", "TENSOR_FLOAT32", "{2, 2, 2, 3}") # input 0 variable
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D | space_to_depth_quant8_signed.mod.py | 18 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable 37 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4, 4, 1}, 0.5f, -128") variable 68 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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D | depth_to_space_quant8_signed.mod.py | 18 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 8}, 0.5f, 0") variable 38 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 4}, 0.5f, 0") variable 69 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 1, 8}") variable
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D | mul_quant8_signed.mod.py | 18 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2}, 1.0, -128") variable 39 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128") variable 71 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 2}") variable
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D | add_quant8_signed.mod.py | 18 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 2.0, 0") variable 39 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2}, 2.0, 0") variable 71 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 2}") variable
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D | transpose_quant8_signed.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{25, 1, 1, 1}") # input 0 variable 54 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # input 0 variable 226 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable 269 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable 323 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3, 4, 5}, 1.0, -128") variable 357 i1 = Input("input", "TENSOR_FLOAT32", "{2, 2}") variable 392 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
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D | dequantize_quant8_signed.mod.py | 18 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 1}, 1.f, -128") variable 62 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 1}, 1.f, -128") variable 91 i1 = Input("in", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 1, 1}, 0.1f, 0") variable
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D | depthwise_conv2d_quant8_signed.mod.py | 20 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable 77 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable 164 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable 219 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3, 2, 2}, 0.5f, -1") variable 250 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable 279 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable 311 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable 340 i1 = Input("op1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 2, 2}, 0.5f, -128") variable 374 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable
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D | softmax_quant8_signed.mod.py | 18 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4}, 0.5f, -128") # batch = 1, depth = 1 variable 37 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 5}, 0.5f, -128") # batch = 2, depth = 5 variable 113 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
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D | mean_quant8_signed.mod.py | 17 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4, 3, 2}, 0.8, -123") variable 41 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4, 3, 2}, 0.8, -123") variable
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D | batch_to_space_quant8_signed.mod.py | 17 i1 = Input("input", "TENSOR_QUANT8_ASYMM_SIGNED", "{4, 2, 2, 1}, 1.0, 0") variable 36 i1 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 1, 2}") variable
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/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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