Home
last modified time | relevance | path

Searched refs:OH_NN_OPS_CEIL (Results 1 – 7 of 7) sorted by relevance

/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/ops/
H A Dceil_builder.cpp75 REGISTER_OPS(CeilBuilder, OH_NN_OPS_CEIL);
/ohos5.0/foundation/ai/neural_network_runtime/interfaces/kits/c/neural_network_runtime/
H A Dneural_network_runtime_type.h2403 OH_NN_OPS_CEIL = 90, enumerator
/ohos5.0/docs/zh-cn/application-dev/reference/apis-neural-network-runtime-kit/
H A Dneural__network__runtime__type_8h.md70 …= 87, OH_NN_OPS_SPARSE_TO_DENSE = 88,<br/>OH_NN_OPS_LOGICAL_OR = 89, OH_NN_OPS_CEIL = 90, OH_NN_OP…
H A D_neural_network_runtime.md71 …= 87, OH_NN_OPS_SPARSE_TO_DENSE = 88,<br/>OH_NN_OPS_LOGICAL_OR = 89, OH_NN_OPS_CEIL = 90, OH_NN_OP…
665 | OH_NN_OPS_CEIL<sup>12+</sup> | 对输入的每个元素做向上取整。<br/>输入：<br/>- input，n维张量，数据类型为OH_NN_FLOAT64、OH_NN_F…
H A D_neural_nework_runtime.md71 …= 87, OH_NN_OPS_SPARSE_TO_DENSE = 88,<br/>OH_NN_OPS_LOGICAL_OR = 89, OH_NN_OPS_CEIL = 90, OH_NN_OP…
665 | OH_NN_OPS_CEIL<sup>12+</sup> | 对输入的每个元素做向上取整。<br/>输入：<br/>- input，n维张量，数据类型为OH_NN_FLOAT64、OH_NN_F…
/ohos5.0/docs/en/application-dev/reference/apis-neural-network-runtime-kit/
H A Dneural__network__runtime__type_8h.md70 … = 87, OH_NN_OPS_SPARSE_TO_DENSE = 88,<br>OH_NN_OPS_LOGICAL_OR = 89, OH_NN_OPS_CEIL = 90, OH_NN_OP…
H A D_neural_network_runtime.md71 … = 87, OH_NN_OPS_SPARSE_TO_DENSE = 88,<br>OH_NN_OPS_LOGICAL_OR = 89, OH_NN_OPS_CEIL = 90, OH_NN_OP…
665 | OH_NN_OPS_CEIL<sup>12+</sup> | Rounds up each input element.<br>Input:<br>- **input**: *n*-dimens…