| /packages/modules/NeuralNetworks/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 | 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 | 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 | 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 | 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
141 i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}") variable
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| /packages/modules/NeuralNetworks/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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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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| 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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| /packages/apps/ManagedProvisioning/tests/instrumentation/src/com/android/managedprovisioning/ |
| D | TestUtils.java | 54 Intent i1 = new Intent("aa"); in testIntentActionNotEqual() local
61 Intent i1 = new Intent().putExtra("aa", "bb"); in testIntentExtraNotEqual() local
68 Intent i1 = new Intent().putExtra("aa", "bb"); in testIntentNotSameExtra() local
75 Intent i1 = new Intent() in testIntentMultipleExtrasOfArray() local
91 Intent i1 = new Intent() in testIntentMultipleExtrasOfBundle() local
166 public static void assertIntentEquals(Intent i1, Intent i2) { in assertIntentEquals()
172 public static void failIntentsNotEqual(Intent i1, Intent i2) { in failIntentsNotEqual()
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