diff --git a/6_pytorch/1_NN/linear-regression-gradient-descend.ipynb b/6_pytorch/1_NN/linear-regression-gradient-descend.ipynb index 089905d..6868f4b 100644 --- a/6_pytorch/1_NN/linear-regression-gradient-descend.ipynb +++ b/6_pytorch/1_NN/linear-regression-gradient-descend.ipynb @@ -122,16 +122,16 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 1, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -168,7 +168,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 9, @@ -249,7 +249,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -258,7 +258,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -315,7 +315,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor(94.9309, grad_fn=)\n" + "tensor(153.3520, grad_fn=)\n" ] } ], @@ -355,8 +355,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "tensor([-126.6150])\n", - "tensor([-18.3376])\n" + "tensor([161.0043])\n", + "tensor([22.8730])\n" ] } ], @@ -392,7 +392,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -401,7 +401,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -435,16 +435,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 0, loss: 1.9595526456832886\n", - "epoch: 1, loss: 0.23876741528511047\n", - "epoch: 2, loss: 0.20673297345638275\n", - "epoch: 3, loss: 0.2059527039527893\n", - "epoch: 4, loss: 0.20575186610221863\n", - "epoch: 5, loss: 0.2055628001689911\n", - "epoch: 6, loss: 0.20537473261356354\n", - "epoch: 7, loss: 0.20518775284290314\n", - "epoch: 8, loss: 0.20500165224075317\n", - "epoch: 9, loss: 0.2048165202140808\n" + "epoch: 0, loss: 3.135772228240967\n", + "epoch: 1, loss: 0.355089008808136\n", + "epoch: 2, loss: 0.30295446515083313\n", + "epoch: 3, loss: 0.30131959915161133\n", + "epoch: 4, loss: 0.3006228804588318\n", + "epoch: 5, loss: 0.2999469041824341\n", + "epoch: 6, loss: 0.299274742603302\n", + "epoch: 7, loss: 0.2986060082912445\n", + "epoch: 8, loss: 0.2979407012462616\n", + "epoch: 9, loss: 0.29727888107299805\n" ] }, { @@ -478,7 +478,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -487,7 +487,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -565,7 +565,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -597,16 +597,16 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, @@ -641,7 +641,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -656,6 +656,23 @@ ] }, { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([61, 3])\n" + ] + } + ], + "source": [ + "print(x_train.size())" + ] + }, + { "cell_type": "markdown", "metadata": {}, "source": [ @@ -689,22 +706,22 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -733,14 +750,14 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor(509.5237, grad_fn=)\n" + "tensor(413.9844, grad_fn=)\n" ] } ], @@ -752,7 +769,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -762,17 +779,17 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[ -64.6688],\n", - " [ -84.8521],\n", - " [-431.2343]])\n", - "tensor([-16.0116])\n" + "tensor([[ -34.1391],\n", + " [-146.6133],\n", + " [-215.9149]])\n", + "tensor([-27.0838])\n" ] } ], @@ -784,7 +801,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -795,22 +812,22 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -839,18 +856,18 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "epoch 20, Loss: 24.61406\n", - "epoch 40, Loss: 5.92470\n", - "epoch 60, Loss: 1.55844\n", - "epoch 80, Loss: 0.53303\n", - "epoch 100, Loss: 0.28755\n" + "epoch 20, Loss: 73.67843\n", + "epoch 40, Loss: 17.97095\n", + "epoch 60, Loss: 4.94101\n", + "epoch 80, Loss: 1.87171\n", + "epoch 100, Loss: 1.12812\n" ] }, { @@ -888,22 +905,22 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 33, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] diff --git a/6_pytorch/1_NN/logistic-regression.ipynb b/6_pytorch/1_NN/logistic-regression.ipynb index 25465b9..1e5dbb5 100644 --- a/6_pytorch/1_NN/logistic-regression.ipynb +++ b/6_pytorch/1_NN/logistic-regression.ipynb @@ -114,9 +114,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "import torch\n", @@ -134,7 +132,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -164,7 +162,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -173,12 +171,14 @@ }, { "data": { - "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -215,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -237,10 +237,8 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": true - }, + "execution_count": 18, + "metadata": {}, "outputs": [], "source": [ "# 定义 sigmoid 函数\n", @@ -257,27 +255,29 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 6, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -292,7 +292,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -311,10 +311,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": true - }, + "execution_count": 21, + "metadata": {}, "outputs": [], "source": [ "import torch.nn.functional as F" @@ -322,7 +320,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -331,7 +329,7 @@ "b = Variable(torch.zeros(1), requires_grad=True)\n", "\n", "def logistic_regression(x):\n", - " return F.sigmoid(torch.mm(x, w) + b)" + " return torch.sigmoid(torch.mm(x, w) + b)" ] }, { @@ -343,27 +341,29 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Daqptsx06FOLjTx8WH+8ZHixHTh7h0QWPkjI+hc0HNjPt79NY0G0BdRLqBG+m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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -374,7 +374,7 @@ "b0 = b.data[0]\n", "\n", "plot_x = np.arange(0.2, 1, 0.01)\n", - "plot_y = (-w0 * plot_x - b0) / w1\n", + "plot_y = (-w0.numpy() * plot_x - b0.numpy()) / w1.numpy()\n", "\n", "plt.plot(plot_x, plot_y, 'g', label='cutting line')\n", "plt.plot(plot_x0, plot_y0, 'ro', label='x_0')\n", @@ -395,10 +395,8 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, + "execution_count": 29, + "metadata": {}, "outputs": [], "source": [ "# 计算loss\n", @@ -418,17 +416,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Variable containing:\n", - " 0.6412\n", - "[torch.FloatTensor of size 1]\n", - "\n" + "tensor(0.7911, grad_fn=)\n" ] } ], @@ -447,17 +442,14 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Variable containing:\n", - " 0.6407\n", - "[torch.FloatTensor of size 1]\n", - "\n" + "tensor(0.7801, grad_fn=)\n" ] } ], @@ -488,7 +480,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -498,27 +490,36 @@ "b = nn.Parameter(torch.zeros(1))\n", "\n", "def logistic_regression(x):\n", - " return F.sigmoid(torch.mm(x, w) + b)\n", + " return torch.sigmoid(torch.mm(x, w) + b)\n", "\n", "optimizer = torch.optim.SGD([w, b], lr=1.)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 34, "metadata": {}, "outputs": [ { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bushuhui/.virtualenv/dl/lib/python3.5/site-packages/ipykernel_launcher.py:15: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n", + " from ipykernel import kernelapp as app\n", + "/home/bushuhui/.virtualenv/dl/lib/python3.5/site-packages/ipykernel_launcher.py:17: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number\n" + ] + }, + { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 200, Loss: 0.39730, Acc: 0.92000\n", - "epoch: 400, Loss: 0.32458, Acc: 0.92000\n", - "epoch: 600, Loss: 0.29065, Acc: 0.91000\n", - "epoch: 800, Loss: 0.27077, Acc: 0.91000\n", - "epoch: 1000, Loss: 0.25765, Acc: 0.90000\n", + "epoch: 200, Loss: 0.39010, Acc: 0.00000\n", + "epoch: 400, Loss: 0.32184, Acc: 0.00000\n", + "epoch: 600, Loss: 0.28917, Acc: 0.00000\n", + "epoch: 800, Loss: 0.26983, Acc: 0.00000\n", + "epoch: 1000, Loss: 0.25700, Acc: 0.00000\n", "\n", - "During Time: 0.595 s\n" + "During Time: 0.248 s\n" ] } ], @@ -563,27 +564,29 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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lt7e9P7dOTl88zW1i2zCiwY1nN+ZDyYfyfY0efQNMeG7aUiC9ZSzMU3rf5PY5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\n", 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\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -594,7 +597,7 @@ "b0 = b.data[0]\n", "\n", "plot_x = np.arange(0.2, 1, 0.01)\n", - "plot_y = (-w0 * plot_x - b0) / w1\n", + "plot_y = (-w0.numpy() * plot_x - b0.numpy()) / w1.numpy()\n", "\n", "plt.plot(plot_x, plot_y, 'g', label='cutting line')\n", "plt.plot(plot_x0, plot_y0, 'ro', label='x_0')\n", diff --git a/6_pytorch/PyTorch_quick_intro.ipynb b/6_pytorch/PyTorch_quick_intro.ipynb index 0559c89..7a5c54a 100644 --- a/6_pytorch/PyTorch_quick_intro.ipynb +++ b/6_pytorch/PyTorch_quick_intro.ipynb @@ -41,8 +41,8 @@ { "data": { "text/plain": [ - "tensor([[1.2563e-37, 0.0000e+00, 5.7453e-44],\n", - " [0.0000e+00, nan, 4.5814e-41],\n", + "tensor([[3.7158e-37, 0.0000e+00, 5.7453e-44],\n", + " [0.0000e+00, nan, 4.5745e-41],\n", " [1.3733e-14, 6.4076e+07, 2.0706e-19],\n", " [7.3909e+22, 2.4176e-12, 1.1625e+33],\n", " [8.9605e-01, 1.1632e+33, 5.6003e-02]])" @@ -67,11 +67,11 @@ { "data": { "text/plain": [ - "tensor([[0.7149, 0.6065, 0.8056],\n", - " [0.2450, 0.1942, 0.5305],\n", - " [0.6735, 0.7798, 0.6060],\n", - " [0.1072, 0.8325, 0.8617],\n", - " [0.5117, 0.2246, 0.4984]])" + "tensor([[0.4157, 0.7456, 0.9620],\n", + " [0.3965, 0.8182, 0.7723],\n", + " [0.3705, 0.9292, 0.0063],\n", + " [0.4054, 0.9137, 0.9611],\n", + " [0.8307, 0.0900, 0.6887]])" ] }, "execution_count": 3, @@ -128,11 +128,11 @@ { "data": { "text/plain": [ - "tensor([[1.6605, 1.1155, 1.2724],\n", - " [0.6727, 0.6428, 1.0969],\n", - " [1.4898, 1.7437, 1.3258],\n", - " [0.8030, 1.5725, 1.4709],\n", - " [0.6847, 0.4828, 0.6183]])" + "tensor([[0.5021, 1.2500, 1.4749],\n", + " [0.6019, 0.9378, 1.7240],\n", + " [1.2752, 1.3837, 0.6832],\n", + " [1.2053, 1.4374, 1.5160],\n", + " [0.9404, 0.8743, 0.8164]])" ] }, "execution_count": 5, @@ -154,13 +154,11 @@ { "data": { "text/plain": [ - "\n", - " 0.4063 0.7378 1.2411\n", - " 0.0687 0.7725 0.0634\n", - " 1.1016 1.4291 0.7324\n", - " 0.7604 1.2880 0.4597\n", - " 0.6020 1.0124 1.0185\n", - "[torch.FloatTensor of size 5x3]" + "tensor([[0.5021, 1.2500, 1.4749],\n", + " [0.6019, 0.9378, 1.7240],\n", + " [1.2752, 1.3837, 0.6832],\n", + " [1.2053, 1.4374, 1.5160],\n", + " [0.9404, 0.8743, 0.8164]])" ] }, "execution_count": 6, @@ -210,23 +208,23 @@ "output_type": "stream", "text": [ "最初y\n", - "tensor([[0.9778, 0.9240, 0.0337],\n", - " [0.7461, 0.8548, 0.5141],\n", - " [0.5364, 0.9908, 0.1078],\n", - " [0.6880, 0.1675, 0.0010],\n", - " [0.9120, 0.5539, 0.2896]])\n", + "tensor([[0.0864, 0.5044, 0.5128],\n", + " [0.2054, 0.1196, 0.9517],\n", + " [0.9047, 0.4545, 0.6769],\n", + " [0.7999, 0.5236, 0.5549],\n", + " [0.1097, 0.7843, 0.1277]])\n", "第一种加法,y的结果\n", - "tensor([[0.9778, 0.9240, 0.0337],\n", - " [0.7461, 0.8548, 0.5141],\n", - " [0.5364, 0.9908, 0.1078],\n", - " [0.6880, 0.1675, 0.0010],\n", - " [0.9120, 0.5539, 0.2896]])\n", + "tensor([[0.0864, 0.5044, 0.5128],\n", + " [0.2054, 0.1196, 0.9517],\n", + " [0.9047, 0.4545, 0.6769],\n", + " [0.7999, 0.5236, 0.5549],\n", + " [0.1097, 0.7843, 0.1277]])\n", "第二种加法,y的结果\n", - "tensor([[1.7112, 1.2969, 0.3289],\n", - " [0.7841, 1.0128, 0.7596],\n", - " [1.1364, 1.1541, 0.8970],\n", - " [0.8831, 0.7063, 0.3158],\n", - " [1.5160, 1.3610, 0.8437]])\n" + "tensor([[0.5021, 1.2500, 1.4749],\n", + " [0.6019, 0.9378, 1.7240],\n", + " [1.2752, 1.3837, 0.6832],\n", + " [1.2053, 1.4374, 1.5160],\n", + " [0.9404, 0.8743, 0.8164]])\n" ] } ], @@ -252,22 +250,16 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\n", - " 0.2522\n", - " 0.7138\n", - " 0.6019\n", - " 0.3675\n", - " 0.5104\n", - "[torch.FloatTensor of size 5]" + "tensor([0.7456, 0.8182, 0.9292, 0.9137, 0.0900])" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -288,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -297,7 +289,7 @@ "tensor([1., 1., 1., 1., 1.])" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -309,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -318,7 +310,7 @@ "array([1., 1., 1., 1., 1.], dtype=float32)" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -330,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -393,18 +385,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[1.6605, 1.1155, 1.2724],\n", - " [0.6727, 0.6428, 1.0969],\n", - " [1.4898, 1.7437, 1.3258],\n", - " [0.8030, 1.5725, 1.4709],\n", - " [0.6847, 0.4828, 0.6183]], device='cuda:0')\n" + "tensor([[0.9177, 1.9956, 2.4369],\n", + " [0.9984, 1.7561, 2.4963],\n", + " [1.6457, 2.3129, 0.6895],\n", + " [1.6107, 2.3511, 2.4770],\n", + " [1.7711, 0.9643, 1.5050]], device='cuda:0')\n" ] } ], @@ -446,7 +438,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -455,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "metadata": { "scrolled": true }, @@ -467,7 +459,7 @@ " [1., 1.]], requires_grad=True)" ] }, - "execution_count": 9, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -480,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": { "scrolled": true }, @@ -491,7 +483,7 @@ "tensor(4., grad_fn=)" ] }, - "execution_count": 10, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -503,16 +495,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -523,7 +515,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -532,7 +524,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -542,7 +534,7 @@ " [1., 1.]])" ] }, - "execution_count": 13, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -562,7 +554,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -572,7 +564,7 @@ " [2., 2.]])" ] }, - "execution_count": 14, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -584,7 +576,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "metadata": { "scrolled": true }, @@ -596,7 +588,7 @@ " [3., 3.]])" ] }, - "execution_count": 15, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -608,7 +600,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -618,7 +610,7 @@ " [0., 0.]])" ] }, - "execution_count": 16, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -630,7 +622,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -640,7 +632,7 @@ " [1., 1.]])" ] }, - "execution_count": 26, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -659,7 +651,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -681,7 +673,7 @@ " [0.5403, 0.5403, 0.5403, 0.5403, 0.5403]])" ] }, - "execution_count": 17, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -713,7 +705,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -775,7 +767,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -793,7 +785,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -827,7 +819,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "metadata": { "scrolled": true }, @@ -838,7 +830,7 @@ "torch.Size([1, 10])" ] }, - "execution_count": 30, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -851,7 +843,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -877,7 +869,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 30, "metadata": { "scrolled": true }, @@ -885,10 +877,10 @@ { "data": { "text/plain": [ - "tensor(28.3834, grad_fn=)" + "tensor(28.6268, grad_fn=)" ] }, - "execution_count": 39, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -920,7 +912,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -928,26 +920,9 @@ "output_type": "stream", "text": [ "反向传播之前 conv1.bias的梯度\n", - "Variable containing:\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - "[torch.FloatTensor of size 6]\n", - "\n", + "tensor([0., 0., 0., 0., 0., 0.])\n", "反向传播之后 conv1.bias的梯度\n", - "Variable containing:\n", - "1.00000e-02 *\n", - " -4.2109\n", - " -2.7638\n", - " -5.8431\n", - " 1.3761\n", - " -2.4141\n", - " -1.2015\n", - "[torch.FloatTensor of size 6]\n", - "\n" + "tensor([-0.0368, 0.0240, 0.0169, 0.0118, -0.0122, -0.0259])\n" ] } ], @@ -990,7 +965,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [