tensordot¶
full name: tenpy.linalg.np_conserved.tensordot
parent module:
tenpy.linalg.np_conserved
type: function
-
tenpy.linalg.np_conserved.
tensordot
(a, b, axes=2)[source]¶ Similar as
np.tensordot
but forArray
.Builds the tensor product of a and b and sums over the specified axes. Does not require complete blocking of the charges.
Labels are inherited from a and b. In case of a collision (= the same label would be inherited from a and b after the contraction), both labels are dropped.
Detailed implementation notes are available in the doc-string of
_tensordot_worker()
.- Parameters
- a, b
Array
The first and second npc Array for which axes are to be contracted.
- axes
(axes_a, axes_b)
| int A single integer is equivalent to
(range(-axes, 0), range(axes))
. Alternatively, axes_a and axes_b specifiy the legs of a and b, respectively, which should be contracted. Legs can be specified with leg labels or indices. Contract legaxes_a[i]
of a with legaxes_b[i]
of b.
- a, b
- Returns
- a_dot_b
Array
The tensorproduct of a and b, summed over the specified axes. Returns a scalar in case of a full contraction.
- a_dot_b