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/frameworks/base/services/tests/servicestests/assets/KeyStoreRecoveryControllerTest/pem/
Dvalid-cert.pem68 87:bb:b9:a2:d0:ad:32:6e:eb:ca:ad:14:8e:96:d3:
71 b8:58:4a:b9:de:87:df:22:10:e2:e7:86:8a:a0:81:
79 1b:8e:d2:cc:c7:3e:b2:13:53:b9:82:ed:ab:6d:63:
149 ff:cb:d5:4c:40:4c:a1:68:b9:6c:0b:50:e2:df:95:8d:f2:8c:
155 b9:b3:c9:44:11:b3:02:fd:d1:ae:22:c0:4c:8a:d5:f7:5c:b9:
161 da:1d:79:41:02:fb:d4:b4:4a:23:26:b9:11:de:3f:9b:e7:3b:
163 de:67:fd:13:4d:07:bd:90:46:bc:42:e4:73:b9:12:24:2b:95:
171 ea:3c:1a:22:72:5e:48:51:57:72:66:c2:60:b9:f1:19:1d:7c:
178 8f:e3:98:90:a6:8e:53:e8:b5:55:32:b9:2d:2d:fe:5e:23:3c:
185 c8:cf:05:4d:c4:d9:e6:b9:8d:f4:f1:b3:6c:32:f6:3d:8e:c9:
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/frameworks/ml/nn/runtime/test/specs/V1_2/
Ddepthwise_conv2d_v1_2.mod.py157 b9 = Parameter("op3", ("TENSOR_INT32", [4], input_scale * filter_scale, 0), variable
160 model9 = Model("quant_output_multiplier_gt_1").Operation("DEPTHWISE_CONV_2D", i9, f9, b9, 2, 1, 1, …
167 }, model=model9).AddInput(f9, b9).AddVariations("relaxed")
Dconv2d_v1_2.mod.py200 b9 = Parameter("op3", ("TENSOR_INT32", [3], scale * scale, 0), [1, 2, 3]) variable
202 model9 = Model("quant_output_multiplier_gt_1").Operation("CONV_2D", i9, f9, b9, 2, 2, 2, 0).To(o9)
211 }, model=model9).AddInput(f9, b9).AddVariations("relaxed")