Structure Tensor for Python Fast and simple to use 2D and 3Dstructure tensorimplementation for Python. Installation Install package usingpip install structure-tensoror clone the repository. CUDA Support For CUDA
DLPack: Open In Memory Tensor Structure Documentation:https://dmlc.github.io/dlpack/latest DLPack is an open in-memory tensor structure for sharing tensors among frameworks. DLPack enables Easier sharing of operators between deep learning frameworks. ...
The above parameterization offers several advantages over other choices such as multilayer perceptrons25,69,70or spherical harmonics35,71. First, it is straightforward to interpret: a filtermwith large entries of the tensorWscfor someg,nis positively activated by points having attributenand located nea...
In addition to geophysical interpretation of the structures, they also serve as input data for subsequent analyses such as earthquake source inversions (ESIs), including hypocenter location1,2,3, moment tensor4,5,6 and finite fault7,8,9 of ordinary and slow earthquakes. The estimation of such ...
(relations, entities) File "/home/daniel/PaddleOCR/venv/lib/python3.8/site-packages/paddlenlp/transformers/layoutxlm/modeling.py", line 1248, in build_relation all_possible_relations = paddle.stack( File "/home/daniel/PaddleOCR/venv/lib/python3.8/site-packages/paddle/tensor/manipulation.py", line...
[batch_size], dtype="int32") structure_probs = None loc_preds = None elem_onehots = None outputs = None alpha = None max_elem_length = paddle.to_tensor(self.max_elem_length) i = 0 # Attention forward while i < max_elem_length + 1: elem_onehots = self._char_to_onehot( ...
Due to its modularity (for instance of the tensor contraction engine), new Python modules and features can be straightforwardly imported and exploited without changing any wavefunction modules directly. References: http://pybest.fizyka.umk.pl
Most usefully for many applications in data science, NumPy arrays can explicitly be multidimensional (like matrices or tensors). Here's one way to create a multidimensional array by using a list of lists. Nested lists result in multidimensional arrays: ...
>>>importtheano.tensorasT>>>x = T.matrix('x')>>>y = T.matrix('y')>>>z = x + y>>>printz.owner Elemwise{add,no_inplace}(Elemwise{pow,no_inplace}.0, y) python object references: Arrow. Apply node: blue box. is composed ofinputs,opandoutputfields. ...
uses itself atomic-blocks for its internal implementation. Atomic- and multi-blocks come in three flavors: the (multi-) block-lattice which holds lattice Boltzmann variables, the (multi-) scalar-field for scalar data-arrays, and the (multi-) tensor-field for vector- or tensor-valued data-...