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Searched refs:o2 (Results 1 – 25 of 199) sorted by relevance

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/aosp12/system/teeui/test/
H A Dteeui_test.cpp131 ASSERT_TRUE(o2); in TEST()
137 ASSERT_TRUE(o2); in TEST()
143 ASSERT_FALSE(o2); in TEST()
147 ASSERT_TRUE(o2); in TEST()
157 ASSERT_TRUE(o2); in TEST()
167 ASSERT_TRUE(o2); in TEST()
177 ASSERT_TRUE(o2); in TEST()
187 ASSERT_TRUE(o2); in TEST()
192 ASSERT_TRUE(o2); in TEST()
197 ASSERT_TRUE(o2); in TEST()
[all …]
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dbox_with_nms_limit_quant8_signed.mod.py32 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
86 o2: [
129 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
183 o2: [
218 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
269 o2: [
306 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
357 o2: [
392 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
446 o2: [
[all …]
H A Ddepthwise_conv2d_quant8_signed.mod.py51 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
59 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -128)
68 o2: [13, 14, 0, 0,
116 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, -128)
125 o2: [13, 14, 0, 0,
145 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -128)
156 o2: [4, 0, 3,
192 o2: [4, 2, 6, 3, 4, 2, 6, 3,
425 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 1.0, -28)
431 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 1.0, -28)
[all …]
H A Dconv2d_quant8_signed.mod.py45 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
53 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -128)
67 o2: [5, 5, 5, 5, 5, 5, 5, 5, 5]
104 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -128)
118 o2: [5, 5, 5, 5, 5, 5, 5, 5, 5]
175 }).AddNchw(i2, o2, layout)
203 o2: [],
249 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 1.0, -78)
255 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 1.0, -78)
389 o2: [],
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H A Dgenerate_proposals_quant8_signed.mod.py25 o2 = Output("roiOut", "TENSOR_FLOAT32", "{4, 4}") # roi out variable
28 i1, i2, i3, i4, 4.0, 4.0, -1, -1, 0.30, 1.0, layout).To(o1, o2, o3)
36 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
56 o2: [ # roi out
75 o2 = Output("roiOut", "TENSOR_FLOAT32", "{30, 4}") # roi out variable
78 i1, i2, i3, i4, 10.0, 10.0, 32, 16, 0.20, 1.0, layout).To(o1, o2, o3)
86 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
173 o2: [ # roi out
H A Dresize_quant8_signed.mod.py45 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable
52 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -128)
57 o2: [3, 4, 5, 8, 6, 10,
97 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
124 o2: [],
135 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
162 o2: [],
345 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
372 o2: [],
383 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
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H A Dtranspose_quant8_signed.mod.py108 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 4, 1}") # output variable
109 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
116 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 20.0, -78)
124 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 20.0, -78)
129 o2: [500., 800., 3500., 1500.,
220 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
252 o2: [],
263 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
294 o2: [],
385 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
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H A Droi_align_quant8_signed.mod.py57 o2 = Output("out", "TENSOR_FLOAT32", "{4, 2, 3, 2}") variable
58 Model().Operation("ROI_ALIGN", i2, roi2, [0, 0, 3, 3], 2, 3, 4.0, 4.0, 4, 4, layout).To(o2)
63 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.03125, -118)
104 o2: [
118 }).AddNchw(i2, o2, layout).AddVariations(quant8_signed, includeDefault=False)
220 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
223 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
242 o2: [],
H A Dtranspose_conv2d_quant8_signed.mod.py108 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 4, 1}") # output variable
109 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
116 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 20.0, -78)
124 o2: ("TENSOR_QUANT8_ASYMM_SIGNED", 20.0, -78)
129 o2: [500., 800., 3500., 1500.,
132 }).AddNchw(i2, o2, s2, layout).AddVariations(quant8_signed, channelQuant8_signed, includeDefault=Fa…
219 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
222 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
251 o2: [],
262 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Ddepthwise_conv2d_dilation.mod.py50 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
58 o2: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
67 o2: [13, 14, 0, 0,
71 }).AddNchw(i2, o2, layout)
105 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") variable
113 o2: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
122 o2: [13, 14, 0, 0,
126 }, name="valid_padding").AddNchw(i2, o2, layout)
132 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
140 o2: ("TENSOR_QUANT8_ASYMM", 0.125, 0)
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H A Ddetection_postprocess.mod.py23 o2 = Output("roiOut", "TENSOR_FLOAT32", "{1, 3, 4}") # roi out variable
57 o2: [
74 o2 = Output("roiOut", "TENSOR_FLOAT32", "{1, 3, 4}") # roi out variable
77 …TPROCESSING", i1, i2, i3, 10.0, 10.0, 5.0, 5.0, False, 3, 1, 1, 0.0, 0.5, False).To(o1, o2, o3, o4)
108 o2: [
125 o2 = Output("roiOut", "TENSOR_FLOAT32", "{1, 3, 4}") # roi out variable
128 …TPROCESSING", i1, i2, i3, 10.0, 10.0, 5.0, 5.0, False, 3, 1, 1, 0.0, 0.5, False).To(o1, o2, o3, o4)
159 o2: [
176 o2 = Output("roiOut", "TENSOR_FLOAT32", "{1, 3, 4}") # roi out variable
179 …STPROCESSING", i1, i2, i3, 10.0, 10.0, 5.0, 5.0, False, 3, 1, 1, 0.0, 0.5, True).To(o1, o2, o3, o4)
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H A Dresize_bilinear_v1_2.mod.py45 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 2}") variable
46 model_shape = Model("shape").Operation("RESIZE_BILINEAR", i2, 3, 3, layout).To(o2)
47 model_scale = Model("scale").Operation("RESIZE_BILINEAR", i2, 1.6, 1.6, layout).To(o2)
52 o2: ("TENSOR_QUANT8_ASYMM", 0.25, 0)
57 o2: [3, 4, 5, 8, 6, 10,
63 Example(test2, model=model_shape).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant…
64 Example(test2, model=model_scale).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant…
97 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
124 o2: [],
135 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
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H A Dconv2d_dilation.mod.py45 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
46 Model().Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout, 3, 3).To(o2)
53 o2: ("TENSOR_QUANT8_ASYMM", 0.125, 0)
67 o2: [5, 5, 5, 5, 5, 5, 5, 5, 5]
68 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
96 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
97 Model().Operation("CONV_2D", i2, f2, b2, 2, 1, 1, 0, layout, 3, 3).To(o2)
104 o2: ("TENSOR_QUANT8_ASYMM", 0.125, 0)
118 o2: [5, 5, 5, 5, 5, 5, 5, 5, 5]
119 }, name="valid_padding").AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
H A Dl2_pool_v1_2.mod.py33 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 1, 2, 1}") variable
34 Model().Operation("L2_POOL_2D", i2, 1, 2, 2, 2, 2, 0, layout).To(o2)
39 o2: [3.5, 6.5]
40 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16")
61 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
64 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
78 o2: [],
89 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
92 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
106 o2: [],
H A Dbox_with_nms_limit_gaussian.mod.py23 o2 = Output("roiOut", "TENSOR_FLOAT32", "{18, 4}") # roi out variable
26 model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, -1, 2, 0.4, 0.5, 0.3).To(o1, o2, o…
32 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
86 o2: [
119 o2 = Output("roiOut", "TENSOR_FLOAT32", "{10, 4}") # roi out variable
122 model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, 5, 2, 0.4, 0.5, 0.3).To(o1, o2, o3…
128 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
182 o2: [
H A Dbox_with_nms_limit_hard.mod.py23 o2 = Output("roiOut", "TENSOR_FLOAT32", "{12, 4}") # roi out variable
26 model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, o2, o…
32 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
83 o2: [
110 o2 = Output("roiOut", "TENSOR_FLOAT32", "{10, 4}") # roi out variable
113 model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, 5, 0, 0.4, 0.5, 0.3).To(o1, o2, o3…
119 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
170 o2: [
H A Dbox_with_nms_limit_linear.mod.py23 o2 = Output("roiOut", "TENSOR_FLOAT32", "{16, 4}") # roi out variable
26 model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, -1, 1, 0.4, 1.0, 0.3).To(o1, o2, o…
32 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
86 o2: [
117 o2 = Output("roiOut", "TENSOR_FLOAT32", "{15, 4}") # roi out variable
120 model = Model().Operation("BOX_WITH_NMS_LIMIT", i1, i2, i3, 0.3, 8, 1, 0.4, 0.5, 0.3).To(o1, o2, o3…
126 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
180 o2: [
H A Dgenerate_proposals.mod.py26 o2 = Output("roiOut", "TENSOR_FLOAT32", "{4, 4}") # roi out variable
29 i1, i2, i3, i4, 4.0, 4.0, -1, -1, 0.30, 1.0, layout).To(o1, o2, o3)
37 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
57 o2: [ # roi out
75 o2 = Output("roiOut", "TENSOR_FLOAT32", "{30, 4}") # roi out variable
78 i1, i2, i3, i4, 10.0, 10.0, 32, 16, 0.20, 1.0, layout).To(o1, o2, o3)
86 o2: ("TENSOR_QUANT16_ASYMM", 0.125, 0)
173 o2: [ # roi out
H A Dmax_pool_v1_2.mod.py49 o2 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) variable
50 Model().Operation("MAX_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
55 o2: ("TENSOR_QUANT8_ASYMM", 0.5, 0)
61 o2: [std for _ in range(bat * output_row * output_col * chn)]
62 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
117 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
120 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
144 o2: [],
155 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
158 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
H A Dconv2d_per_channel.mod.py36 o2 = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 3, 1, 3}, 1.f, 128") variable
37 Model("layouts").Operation("CONV_2D", i2, f2, b2, 0, 0, 0, 0, 1, 1, 0, layout).To(o2)
42 o2: [121, 118, 115, 121, 118, 115, 121, 118, 115]
43 }).AddNchw(i2, o2, layout)
51 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
54 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
71 o2: [],
H A Dtranspose_conv2d.mod.py73 o2 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 4, 1}") # output variable
74 Model().Operation("TRANSPOSE_CONV_2D", i2, w2, b2, s2, 1, 3, 3, 1, layout).To(o2)
81 o2: ("TENSOR_QUANT8_ASYMM", 20.0, 50)
89 o2: ("TENSOR_QUANT8_ASYMM", 20.0, 50)
94 o2: [500., 800., 3500., 1500.,
97 }).AddNchw(i2, o2, s2, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
184 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
187 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
216 o2: [],
227 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
[all …]
H A Droi_align.mod.py57 o2 = Output("out", "TENSOR_FLOAT32", "{4, 2, 3, 2}") variable
58 Model().Operation("ROI_ALIGN", i2, roi2, [0, 0, 3, 3], 2, 3, 4.0, 4.0, 4, 4, layout).To(o2)
63 o2: ("TENSOR_QUANT8_ASYMM", 0.03125, 10)
104 o2: [
118 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
220 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
223 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
242 o2: [],
H A Davg_pool_v1_2.mod.py51 o2 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) variable
52 Model().Operation("AVERAGE_POOL_2D", i2, pad, pad, pad, pad, std, std, flt, flt, 0, layout).To(o2)
57 o2: ("TENSOR_QUANT8_ASYMM", 0.5, 0)
63 o2: [1. for _ in range(bat * output_row * output_col * chn)]
64 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
147 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
150 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
174 o2: [],
185 o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out variable
188 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
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/aosp12/frameworks/base/services/tests/servicestests/src/com/android/server/om/
H A DOverlayManagerServiceImplRebootTests.java82 assertNotNull(o2); in testImmutableEnabledChange()
83 assertTrue(o2.isEnabled()); in testImmutableEnabledChange()
84 assertFalse(o2.isMutable); in testImmutableEnabledChange()
113 assertNotNull(o2); in testMutableEnabledChangeHasNoEffect()
114 assertFalse(o2.isEnabled()); in testMutableEnabledChangeHasNoEffect()
115 assertTrue(o2.isMutable); in testMutableEnabledChangeHasNoEffect()
194 assertNotNull(o2); in testMutablePriorityChange()
195 assertEquals(1, o2.priority); in testMutablePriorityChange()
196 assertFalse(o2.isEnabled()); in testMutablePriorityChange()
237 assertNotNull(o2); in testImmutablePriorityChange()
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/aosp12/art/test/168-vmstack-annotated/src/
H A DMain.java121 Object o2 = new Object(); in testCluster1() local
127 l1.add(o2); in testCluster1()
129 l2.add(o2); in testCluster1()
157 assertBlockedOn(stack1[0], o2); // Blocked on o2. in testCluster1()
174 assertLocks(stack2[1], o4, o2); // Locked o4, o2. in testCluster1()
191 private static void assertEquals(Object o1, Object o2) { in assertEquals() argument
192 if (o1 != o2) { in assertEquals()
193 throw new RuntimeException("Expected " + o1 + " == " + o2); in assertEquals()
207 private static void assertEquals(Object[] o1, Object[] o2) { in assertEquals() argument
208 if (!Arrays.equals(o1, o2)) { in assertEquals()
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