Searched refs:act2 (Results 1 – 5 of 5) sorted by relevance
| /packages/modules/Connectivity/staticlibs/native/tcutils/ |
| D | tcutils.cpp | 126 } act2; member
250 .act2 = { in IngressPoliceFilterBuilder()
252 .nla_len = sizeof(mRequest.opt.acts.act2), in IngressPoliceFilterBuilder()
257 .nla_len = sizeof(mRequest.opt.acts.act2.kind), in IngressPoliceFilterBuilder()
264 .nla_len = sizeof(mRequest.opt.acts.act2.opt), in IngressPoliceFilterBuilder()
269 .nla_len = sizeof(mRequest.opt.acts.act2.opt.fd), in IngressPoliceFilterBuilder()
276 .nla_len = sizeof(mRequest.opt.acts.act2.opt.name), in IngressPoliceFilterBuilder()
283 .nla_len = sizeof(mRequest.opt.acts.act2.opt.parms), in IngressPoliceFilterBuilder()
335 mRequest.opt.acts.act2.opt.fd.u32 = static_cast<uint32_t>(mBpfFd.get()); in initBpfFd()
336 snprintf(mRequest.opt.acts.act2.opt.name.str, in initBpfFd()
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | avg_pool_quant8_4.mod.py | 22 act2 = Int32Scalar("relu1_activitation", 2) variable
24 …el.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o)
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| D | max_pool_quant8_3.mod.py | 34 act2 = Int32Scalar("relu1_activation", 2) variable
42 …"MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act2).To(output)
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | max_pool_quant8_signed.mod.py | 89 act2 = Int32Scalar("relu1_activation", 2) variable
97 …"MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act2).To(output)
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| D | avg_pool_quant8_signed.mod.py | 115 act2 = Int32Scalar("relu1_activitation", 2) variable
117 …el.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o)
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