Merge pull request #3 from programmah/main

fixed python typos
openhackathons-org · May 16, 2023 · 2fc1fa7 · 2fc1fa7
2 parents df3d3ce + 7a79bea
commit 2fc1fa7
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Showing 4 changed files with 32 additions and 23 deletions.
diff --git a/_basic/python/jupyter_notebook/cupy/cupy_RDF.ipynb b/_basic/python/jupyter_notebook/cupy/cupy_RDF.ipynb
@@ -322,7 +322,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

diff --git a/_basic/python/jupyter_notebook/cupy/cupy_guide.ipynb b/_basic/python/jupyter_notebook/cupy/cupy_guide.ipynb
@@ -67,7 +67,7 @@
     "import cupy as cp\n",
     "#copy data from Host to Device using cp.asarray()\n",
     "h_X = np.arange(100, dtype=np.float32)#generating array of 100 values on the Host with NumPy\n",
-    "d_X = cp.asarray(x)# copy data to Device \n",
+    "d_X = cp.asarray(h_X)# copy data to Device \n",
     "#copy data from Device to Host using cp.asnumpy()\n",
     "h_X = cp.asnumpy(d_X)\n",
     "```\n",
@@ -110,7 +110,7 @@
     "\n",
     "N = 10000\n",
     "#select Device with index 1. \n",
-    "with cp.cuda.Device(1):\n",
+    "with cp.cuda.Device(0):\n",
     "    #input data initialzed\n",
     "    d_A = cp.arange(N, dtype=cp.int32)\n",
     "    d_B = cp.arange(N, dtype=cp.int32)\n",
@@ -148,6 +148,8 @@
     "\n",
     "\n",
     "\n",
+    "\n",
+    "\n",
     "#expected output: [     0      2      4 ... 999994 999996 999998]"
    ]
   },
@@ -248,14 +250,8 @@
     "\n",
     "\n",
     "\n",
-    "#expected output:\n",
-    "#[[  848610000   848635200   848660400 ...   854204400   854229600 854254800]\n",
-    "# [ 2124360000  2124435825  2124511650 ...  2141193150  2141268975 2141344800]\n",
-    "# [ -894857296  -894730846  -894604396 ...  -866785396  -866658946 -866532496]\n",
-    "# ...\n",
-    "# [  597268464   608532414   619796364 ... -1197101932 -1185837982 -1174574032]\n",
-    "# [ 1873018464  1884333039  1895647614 ...    89886818   101201393 112515968]\n",
-    "# [-1146198832 -1134833632 -1123468432 ...  1376875568  1388240768 1399605968]]"
+    "\n",
+    "#Note: Because of the random number, the output may slightly vary each time the cell is executed"
    ]
   },
   {
@@ -302,7 +298,7 @@
     "#calling fuse function\n",
     "z = compute(x,w)\n",
     "print(z)\n",
-    "#expected output: 57.776024. output may varies because of random values of x & w"
+    "#expected output: 57.776024. Output may vary because of random values of x & w"
    ]
   },
   {
@@ -350,7 +346,7 @@
     "r = cp.empty(N, dtype=cp.float32)\n",
     "```\n",
     "\n",
-    "**step 5**: Make the kernel call\n",
+    "**Step 5**: Make the kernel call\n",
     "```python\n",
     "compute_call(d_x,d_y, d_z, r)\n",
     "print(r)\n",
@@ -419,7 +415,7 @@
     "```python\n",
     "mapping_expr = 'x * w'\n",
     "```\n",
-    "**Step 3**: set reduction expression `a & b`\n",
+    "**Step 3**: set reduction expression `a + b`\n",
     "```python\n",
     "reduction_expr= 'a + b'\n",
     "```\n",
@@ -665,7 +661,16 @@
     "\n",
     "\n",
     "\n",
-    "#expected output[ 0 1 4 ... 888896841 889896836 890896833]"
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "#expected output: [     0      2      4 ... 999994 999996 999998]"
    ]
   },
   {
@@ -866,7 +871,11 @@
     "\n",
     "\n",
     "\n",
-    "#expected output: [  0   1  4 ... 2147483647 2147483647 2147483647]"
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "#expected output: [     0      2      4 ... 999994 999996 999998]"
    ]
   },
   {
@@ -976,7 +985,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

diff --git a/_basic/python/jupyter_notebook/cupy/serial_RDF.ipynb b/_basic/python/jupyter_notebook/cupy/serial_RDF.ipynb
@@ -408,7 +408,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

diff --git a/_basic/python/jupyter_notebook/numba/numba_guide.ipynb b/_basic/python/jupyter_notebook/numba/numba_guide.ipynb
@@ -304,7 +304,7 @@
     "      for k in range(N):\n",
     "         d_C[row][col]+= d_A[row][k] * d_B[k][col]\n",
     "```\n",
-    "#### step 2\n",
+    "#### Step 2\n",
     "```python\n",
     "#input data initialzed on the Host \n",
     "h_A = np.array([[0,0,0,0],[1,1,1,1],[2,2,2,2],[3,3,3,3]], dtype=np.int32)\n",
@@ -317,7 +317,7 @@
     "d_C = cuda.to_device(h_C)\n",
     "\n",
     "```\n",
-    "#### step 3\n",
+    "#### Step 3\n",
     "```python\n",
     "#set block and grid size and call kernel\n",
     "num_of_threads_per_block  = (2,2)\n",
@@ -356,8 +356,8 @@
     "\n",
     "#kernel function\n",
     "def MatrixMul2D(d_A, d_B, d_C):\n",
-    "  x, y = cuda.grid(2)\n",
-    "  #complete kernel code\n",
+    "    x, y = cuda.grid(2)\n",
+    "    #complete kernel code\n",
     "\n",
     "\n",
     "#input data initialized on the Host\n",
@@ -711,7 +711,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,