计算机术语define 定义 abstract 抽象的 抽象的 abstraction 抽象体、抽象物、抽象性 抽象体、抽象物、抽象性 access 存取、取用 存取、访问 access function 存取函式 存取函数 activate active adapter 配接器 适配器 address 位址 地址 address space 位址空间，定址空间 address-of operator 取址运算子 取地址运算...
TimeZoneInfo.TransitionTime TimeZoneNotFoundException Tuple Tuple<T1> Tuple<T1,T2> Tuple<T1,T2,T3> Tuple<T1,T2,T3,T4> Tuple<T1,T2,T3,T4,T5> Tuple<T1,T2,T3,T4,T5,T6> Tuple<T1,T2,T3,T4,T5,T6,T7> Tuple<T1,T2,T3,T4,T5,T6,T7,TRest> TupleExtensions 類型 TypeAccessException Type...
TimeZoneInfo.TransitionTime TimeZoneNotFoundException Tuple Tuple<T1> Tuple<T1,T2> Tuple<T1,T2,T3> Tuple<T1,T2,T3,T4> Tuple<T1,T2,T3,T4,T5> Tuple<T1,T2,T3,T4,T5,T6> Tuple<T1,T2,T3,T4,T5,T6,T7> Tuple<T1,T2,T3,T4,T5,T6,T7,TRest> TupleExtensions Type TypeAccessException Type...
TimeZoneInfo.TransitionTime TimeZoneNotFoundException Tuple Tuple<T1> Tuple<T1,T2> Tuple<T1,T2,T3> Tuple<T1,T2,T3,T4> Tuple<T1,T2,T3,T4,T5> Tuple<T1,T2,T3,T4,T5,T6> Tuple<T1,T2,T3,T4,T5,T6,T7> Tuple<T1,T2,T3,T4,T5,T6,T7,TRest> TupleExtensions 类型 TypeAccessException Type...
TimeZoneInfo.TransitionTime TimeZoneNotFoundException Tuple Tuple<T1> Tuple<T1,T2> Tuple<T1,T2,T3> Tuple<T1,T2,T3,T4> Tuple<T1,T2,T3,T4,T5> Tuple<T1,T2,T3,T4,T5,T6> Tuple<T1,T2,T3,T4,T5,T6,T7> Tuple<T1,T2,T3,T4,T5,T6,T7,TRest> TupleExtensions 类型 TypeAccessException Type...
CRUSADE_TIMEOUT_YEARS 30 十字军号召有效时限,单位为年。 WE_IMPACT_ON_ANNEX_INTEGRATE -0.05 与现有的厌战度相乘,影响外交合并或吞并带来的厌战度。 EMPEROR_VOTE_DAYS 60 选帝侯改变投票的冷却时间。 EMPEROR_REVOKE_AUTHORITY_COST 50.0 移除帝国改革所需的帝国权威 ...
Objects declared as volatile are not used in optimizations because their value can change at any time. The system always reads the current value of a volatile object at the point it is requested, even if the previous instruction asked for a value from the same object. Also, the ...
The minimum interval of time that must pass before the channel can try the MQPUT operation again. The time interval is in milliseconds. This parameter controls the action of the MCA only if the message-retry exit name is blank. If the exit name is not blank, the value of MRTMR is pa...
For loss functions that require more inputs than the predictions and targets (for example, loss functions that require access to the neural network or additional inputs), train the model using a custom training loop. For more information, seeDefine Custom Training Loop Loss Function. For...
using hlslib::ocl; Context context; std::vector<float> input_host(N, 5); std::vector<float> output_host(N, 5); auto input_device = context.MakeBuffer<float, Access::read>( MemoryBank::bank0, input_host.cbegin(), input_end.cend()); auto output_device = context.MakeBuffer<float,...