Simple benchmark of replacing a mask of values in an array

arr_mask_exp.ipynb

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   "source": [
    "import numpy as np"
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     "text": [
      "2.69 ms ± 13.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "s = (1000, 1100)\n",
    "a = np.arange(np.prod(s)) / float(np.prod(s))"
   ]
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   "cell_type": "code",
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   "outputs": [
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     "text": [
      "3.58 ms ± 9.94 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "s = (1000, 1100)\n",
    "a = np.arange(np.prod(s)) / float(np.prod(s))\n",
    "a[a < 0.5] = 0"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cupy as cp"
   ]
  },
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   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "126 µs ± 19.8 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "s = (1000, 1100)\n",
    "a = cp.arange(np.prod(s)) / float(np.prod(s))\n",
    "cp.cuda.Stream().synchronize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "349 µs ± 24.5 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "s = (1000, 1100)\n",
    "a = cp.arange(np.prod(s)) / float(np.prod(s))\n",
    "a[a < 0.5] = 0\n",
    "cp.cuda.Stream().synchronize"
   ]
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