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 support install extra (optional) dependancyCuPy. If CUDA is installed on your system,pip...
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. ...
[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( ...
ValueError: (InvalidArgument) The 'shape' attribute in ReshapeOp is invalid. The input tensor X'size must be divisible by known capacity of 'shape'. But received X's shape = [8, 512, 7], X's size = 28672, 'shape' is [-1, 35], known capacity of 'shape' is -35. [Hint: Expe...
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: ...
Smolyak, S.A.: Quadrature and interpolation formulas for tensor products of certain classes of functions. Dokl. Akad. Nauk SSSR 148, 1042–1045 (1963) MathSciNet MATH Google Scholar Songolo, M., Bidégaray-Fesquet, B.: Strang splitting schemes for N-level Bloch models (2019). arXiv:...
>>>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-...
Permeability at cell faces not aligned with coordinate axes are calculated using appropriately averaged vertical and horizontal values, as full-tensor permeability is not currently available in PFLOTRAN. The vertical to horizontal permeability ratio of the Weber and crystalline basement are 0.1, while ...
Diffusion tensor imaging (DTI)7 is the most common such method, in which a tensor is fitted to the diffusion signal at every brain voxel. For voxels containing a single fiber population, this provides a suitable estimation of its primary orientation, but the method is incapable of properly ...