update

Author: MorvanZhou

tutorial-contents-notebooks/201_torch_numpy.ipynb

@@ -37,16 +37,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "numpy array: [[0 1 2]\n",
-      " [3 4 5]] \n",
-      "torch tensor: \n",
-      " 0  1  2\n",
-      " 3  4  5\n",
-      "[torch.LongTensor of size 2x3]\n",
-      " \n",
-      "tensor to array: [[0 1 2]\n",
-      " [3 4 5]]\n"
+      "\nnumpy array: [[0 1 2]\n [3 4 5]] \ntorch tensor: tensor([[ 0,  1,  2],\n        [ 3,  4,  5]], dtype=torch.int32) \ntensor to array: [[0 1 2]\n [3 4 5]]\n"
      ]
     }
    ],
@@ -71,16 +62,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "abs \n",
-      "numpy:  [1 2 1 2] \n",
-      "torch:  \n",
-      " 1\n",
-      " 2\n",
-      " 1\n",
-      " 2\n",
-      "[torch.FloatTensor of size 4]\n",
-      "\n"
+      "\nabs \nnumpy:  [1 2 1 2] \ntorch:  tensor([ 1.,  2.,  1.,  2.])\n"
      ]
     }
    ],
@@ -103,12 +85,7 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       " 1\n",
-       " 2\n",
-       " 1\n",
-       " 2\n",
-       "[torch.FloatTensor of size 4]"
+       "tensor([ 1.,  2.,  1.,  2.])"
       ]
      },
      "execution_count": 4,
@@ -129,16 +106,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "sin \n",
-      "numpy:  [-0.84147098 -0.90929743  0.84147098  0.90929743] \n",
-      "torch:  \n",
-      "-0.8415\n",
-      "-0.9093\n",
-      " 0.8415\n",
-      " 0.9093\n",
-      "[torch.FloatTensor of size 4]\n",
-      "\n"
+      "\nsin \nnumpy:  [-0.84147098 -0.90929743  0.84147098  0.90929743] \ntorch:  tensor([-0.8415, -0.9093,  0.8415,  0.9093])\n"
      ]
     }
    ],
@@ -159,12 +127,7 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       " 0.2689\n",
-       " 0.1192\n",
-       " 0.7311\n",
-       " 0.8808\n",
-       "[torch.FloatTensor of size 4]"
+       "tensor([ 0.2689,  0.1192,  0.7311,  0.8808])"
       ]
      },
      "execution_count": 6,
@@ -184,12 +147,7 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       " 0.3679\n",
-       " 0.1353\n",
-       " 2.7183\n",
-       " 7.3891\n",
-       "[torch.FloatTensor of size 4]"
+       "tensor([ 0.3679,  0.1353,  2.7183,  7.3891])"
       ]
      },
      "execution_count": 7,
@@ -210,10 +168,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "mean \n",
-      "numpy:  0.0 \n",
-      "torch:  0.0\n"
+      "\nmean \nnumpy:  0.0 \ntorch:  tensor(0.)\n"
      ]
     }
    ],
@@ -235,15 +190,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "matrix multiplication (matmul) \n",
-      "numpy:  [[ 7 10]\n",
-      " [15 22]] \n",
-      "torch:  \n",
-      "  7  10\n",
-      " 15  22\n",
-      "[torch.FloatTensor of size 2x2]\n",
-      "\n"
+      "\nmatrix multiplication (matmul) \nnumpy:  [[ 7 10]\n [15 22]] \ntorch:  tensor([[  7.,  10.],\n        [ 15.,  22.]])\n"
      ]
     }
    ],
@@ -300,19 +247,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\n",
-       "  7  10\n",
-       " 15  22\n",
-       "[torch.FloatTensor of size 2x2]"
+       "tensor([[  7.,  10.],\n        [ 15.,  22.]])"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -323,19 +267,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\n",
-       "  1   4\n",
-       "  9  16\n",
-       "[torch.FloatTensor of size 2x2]"
+       "tensor([[  1.,   4.],\n        [  9.,  16.]])"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -352,7 +293,7 @@
     {
      "data": {
       "text/plain": [
-       "30.0"
+       "tensor(7.)"
       ]
      },
      "execution_count": 13,
@@ -361,8 +302,7 @@
     }
    ],
    "source": [
-    "torch.dot(torch.Tensor([2, 3]), torch.Tensor([2, 1]))
-7.0"
+    "torch.dot(torch.Tensor([2, 3]), torch.Tensor([2, 1]))"
    ]
   },
   {