Home
last modified time | relevance | path

Searched defs:AdaptiveAvgPool2D (Results 1 – 4 of 4) sorted by relevance

/third_party/mindspore/mindspore-src/source/mindspore/core/ops/
Dadaptive_avg_pool_2d.h32 AdaptiveAvgPool2D() : BaseOperator(kNameAdaptiveAvgPool2D) { InitIOName({"x"}, {"y"}); } in AdaptiveAvgPool2D() function
33 …explicit AdaptiveAvgPool2D(const std::string &kName) : BaseOperator(kName) { InitIOName({"x"}, {"y… in AdaptiveAvgPool2D() function
/third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/ascend/kernel/aicpu/aicpu_ops/customize/op_proto/
Dnn_pooling_ops_proto.cc19 CUST_IMPLEMT_INFERFUNC(AdaptiveAvgPool2D, AdaptiveAvgPool2dInferShape) { in CUST_IMPLEMT_INFERFUNC() argument
59 CUST_IMPLEMT_VERIFIER(AdaptiveAvgPool2D, AdaptiveAvgPool2dVerify) { return GRAPH_SUCCESS; } in CUST_IMPLEMT_VERIFIER() argument
/third_party/mindspore/mindspore-src/source/mindspore/ccsrc/plugin/device/ascend/kernel/aicpu/aicpu_ops/customize/op_info_cfg/
Dcust_aicpu_kernel.ini56 [AdaptiveAvgPool2D] section
57 opInfo.subTypeOfInferShape=1
58 opInfo.opsFlag=OPS_FLAG_CLOSE
59 opInfo.engine=DNN_VM_AICPU
60 opInfo.flagPartial=False
61 opInfo.computeCost=100
62 opInfo.flagAsync=False
63 opInfo.opKernelLib=CUSTAICPUKernel
64 opInfo.formatAgnostic=False
65 opInfo.kernelSo=libcust_cpu_kernels.so
[all …]
/third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/ops/operations/
Dnn_ops.py168 class AdaptiveAvgPool2D(Primitive): class