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

/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/ops/
H A Dbatchnorm_builder.cpp118 REGISTER_OPS(BatchNormBuilder, OH_NN_OPS_BATCH_NORM);
/ohos5.0/foundation/ai/neural_network_runtime/interfaces/kits/c/neural_network_runtime/
H A Dneural_network_runtime_type.h432 OH_NN_OPS_BATCH_NORM = 3, enumerator
/ohos5.0/docs/zh-cn/application-dev/reference/apis-neural-network-runtime-kit/
H A Dneural__network__runtime__type_8h.md70 …n_operationtype) {<br/>OH_NN_OPS_ADD = 1, OH_NN_OPS_AVG_POOL = 2, OH_NN_OPS_BATCH_NORM = 3, OH_NN_…
H A D_neural_network_runtime.md71 …n_operationtype) {<br/>OH_NN_OPS_ADD = 1, OH_NN_OPS_AVG_POOL = 2, OH_NN_OPS_BATCH_NORM = 3, OH_NN_…
578 | OH_NN_OPS_BATCH_NORM | 对输入张量做批量归一化，应用一种变换使平均输出保持接近0，输出标准差接近1。<br/>输入：<br/>- input，一个n维的张量，要求形状为[N…
H A D_neural_nework_runtime.md71 …n_operationtype) {<br/>OH_NN_OPS_ADD = 1, OH_NN_OPS_AVG_POOL = 2, OH_NN_OPS_BATCH_NORM = 3, OH_NN_…
578 | OH_NN_OPS_BATCH_NORM | 对输入张量做批量归一化，应用一种变换使平均输出保持接近0，输出标准差接近1。<br/>输入：<br/>- input，一个n维的张量，要求形状为[N…
/ohos5.0/docs/en/application-dev/reference/apis-neural-network-runtime-kit/
H A Dneural__network__runtime__type_8h.md70 …nn_operationtype) {<br>OH_NN_OPS_ADD = 1, OH_NN_OPS_AVG_POOL = 2, OH_NN_OPS_BATCH_NORM = 3, OH_NN_…
H A D_neural_network_runtime.md71 …nn_operationtype) {<br>OH_NN_OPS_ADD = 1, OH_NN_OPS_AVG_POOL = 2, OH_NN_OPS_BATCH_NORM = 3, OH_NN_…
578 | OH_NN_OPS_BATCH_NORM | The input tensor is normalized in batches, and a transformation is applied…