HyperGP.tensor.argmax#
- argmax(x, dim=0)[source]#
Return the indices of the maximum of an array along the dim.
- Parameters:
x (Tensor or array_like) – Elements to search for maximum values.
dim – The dim of x which a ‘max’ is performed.
- Returns:
the indices of the maximum of an array along the dim.
- Return type:
ret(Tensor)
Examples
import modules
>>> import numpy as np >>> from HyperGP import Tensor >>> import time
array initialization
>>> x1 = np.random.uniform(-1, 1, size=(500, 100000)) >>> x1_t = Tensor(x1)
runtime test
>>> st = time.time() >>> ar = [np.argmax(x1) for i in range(10)] >>> print("numpy runtime: ", time.time() - st)
>>> st = time.time() >>> ar = [HyperGP.argmax(x1_t) for i in range(10)] >>> print("HyperGP runtime: ", time.time() - st)
broadcast operation
>>> ar = [np.argmax(x, axis=1) for i in range(10)] >>> ar = [HyperGP.argmax(x, dim=1) for i in range(10)] >>> for x in ar: ... x.wait()