सार्वजनिक स्थैतिक इंटरफ़ेस TensorInfo.CooSparseOrBuilder
ज्ञात अप्रत्यक्ष उपवर्ग |
सार्वजनिक तरीके
सार स्ट्रिंग | getDenseShapeTensorName () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
सार com.google.protobuf.ByteString | getDenseShapeTensorNameBytes () The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. |
सार स्ट्रिंग | getIndicesTensorName () The indices Tensor must have dtype int64 and shape [?, ?]. |
सार com.google.protobuf.ByteString | getIndicesTensorNameBytes () The indices Tensor must have dtype int64 and shape [?, ?]. |
सार स्ट्रिंग | getValuesTensorName () The shape of the values Tensor is [?]. |
सार com.google.protobuf.ByteString | getValuesTensorNameBytes () The shape of the values Tensor is [?]. |
सार्वजनिक तरीके
सार्वजनिक सार स्ट्रिंग getDenseShapeTensorName ()
The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;
सार्वजनिक सार com.google.protobuf.ByteString getDenseShapeTensorNameBytes ()
The dynamic logical shape represented by the SparseTensor is recorded in the Tensor referenced here. It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;
सार्वजनिक सार स्ट्रिंग getIndicesTensorName ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
सार्वजनिक सार com.google.protobuf.ByteString getIndicesTensorNameBytes ()
The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;
सार्वजनिक सार स्ट्रिंग getValuesTensorName ()
The shape of the values Tensor is [?]. Its dtype must be the dtype of the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;
सार्वजनिक सार com.google.protobuf.ByteString getValuesTensorNameBytes ()
The shape of the values Tensor is [?]. Its dtype must be the dtype of the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;