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Jakub Pokrywka 2022-05-30 09:17:21 +02:00
parent 09846e1396
commit ecf931a3e0
1 changed files with 248 additions and 243 deletions
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491
cw/11_Model_rekurencyjny_z_atencją.ipynb
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@ -250,12 +250,13 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"class EncoderRNN(nn.Module):\n", "class EncoderRNN(nn.Module):\n",
" def __init__(self, input_size, hidden_size):\n", " def __init__(self, input_size, embedding_size, hidden_size):\n",
" super(EncoderRNN, self).__init__()\n", " super(EncoderRNN, self).__init__()\n",
" self.embedding_size = 200\n",
" self.hidden_size = hidden_size\n", " self.hidden_size = hidden_size\n",
"\n", "\n",
" self.embedding = nn.Embedding(input_size, hidden_size)\n", " self.embedding = nn.Embedding(input_size, self.embedding_size)\n",
" self.gru = nn.GRU(hidden_size, hidden_size)\n", " self.gru = nn.GRU(self.embedding_size, hidden_size)\n",
"\n", "\n",
" def forward(self, input, hidden):\n", " def forward(self, input, hidden):\n",
" embedded = self.embedding(input).view(1, 1, -1)\n", " embedded = self.embedding(input).view(1, 1, -1)\n",
@ -274,12 +275,13 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"class DecoderRNN(nn.Module):\n", "class DecoderRNN(nn.Module):\n",
" def __init__(self, hidden_size, output_size):\n", " def __init__(self, embedding_size, hidden_size, output_size):\n",
" super(DecoderRNN, self).__init__()\n", " super(DecoderRNN, self).__init__()\n",
" self.embedding_size = embedding_size\n",
" self.hidden_size = hidden_size\n", " self.hidden_size = hidden_size\n",
"\n", "\n",
" self.embedding = nn.Embedding(output_size, hidden_size)\n", " self.embedding = nn.Embedding(output_size, self.embedding_size)\n",
" self.gru = nn.GRU(hidden_size, hidden_size)\n", " self.gru = nn.GRU(self.embedding_size, hidden_size)\n",
" self.out = nn.Linear(hidden_size, output_size)\n", " self.out = nn.Linear(hidden_size, output_size)\n",
" self.softmax = nn.LogSoftmax(dim=1)\n", " self.softmax = nn.LogSoftmax(dim=1)\n",
"\n", "\n",
@ -301,18 +303,19 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"class AttnDecoderRNN(nn.Module):\n", "class AttnDecoderRNN(nn.Module):\n",
" def __init__(self, hidden_size, output_size, dropout_p=0.1, max_length=MAX_LENGTH):\n", " def __init__(self, embedding_size, hidden_size, output_size, dropout_p=0.1, max_length=MAX_LENGTH):\n",
" super(AttnDecoderRNN, self).__init__()\n", " super(AttnDecoderRNN, self).__init__()\n",
" self.embedding_size = embedding_size\n",
" self.hidden_size = hidden_size\n", " self.hidden_size = hidden_size\n",
" self.output_size = output_size\n", " self.output_size = output_size\n",
" self.dropout_p = dropout_p\n", " self.dropout_p = dropout_p\n",
" self.max_length = max_length\n", " self.max_length = max_length\n",
"\n", "\n",
" self.embedding = nn.Embedding(self.output_size, self.hidden_size)\n", " self.embedding = nn.Embedding(self.output_size, self.embedding_size)\n",
" self.attn = nn.Linear(self.hidden_size * 2, self.max_length)\n", " self.attn = nn.Linear(self.hidden_size + self.embedding_size, self.max_length)\n",
" self.attn_combine = nn.Linear(self.hidden_size * 2, self.hidden_size)\n", " self.attn_combine = nn.Linear(self.hidden_size + self.embedding_size, self.embedding_size)\n",
" self.dropout = nn.Dropout(self.dropout_p)\n", " self.dropout = nn.Dropout(self.dropout_p)\n",
" self.gru = nn.GRU(self.hidden_size, self.hidden_size)\n", " self.gru = nn.GRU(self.embedding_size, self.hidden_size)\n",
" self.out = nn.Linear(self.hidden_size, self.output_size)\n", " self.out = nn.Linear(self.hidden_size, self.output_size)\n",
"\n", "\n",
" def forward(self, input, hidden, encoder_outputs):\n", " def forward(self, input, hidden, encoder_outputs):\n",
@ -323,6 +326,7 @@
" self.attn(torch.cat((embedded[0], hidden[0]), 1)), dim=1)\n", " self.attn(torch.cat((embedded[0], hidden[0]), 1)), dim=1)\n",
" attn_applied = torch.bmm(attn_weights.unsqueeze(0),\n", " attn_applied = torch.bmm(attn_weights.unsqueeze(0),\n",
" encoder_outputs.unsqueeze(0))\n", " encoder_outputs.unsqueeze(0))\n",
" #import pdb; pdb.set_trace()\n",
"\n", "\n",
" output = torch.cat((embedded[0], attn_applied[0]), 1)\n", " output = torch.cat((embedded[0], attn_applied[0]), 1)\n",
" output = self.attn_combine(output).unsqueeze(0)\n", " output = self.attn_combine(output).unsqueeze(0)\n",
@ -508,9 +512,10 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"embedding_size = 200\n",
"hidden_size = 256\n", "hidden_size = 256\n",
"encoder1 = EncoderRNN(eng_lang.n_words, hidden_size).to(device)\n", "encoder1 = EncoderRNN(eng_lang.n_words, embedding_size, hidden_size).to(device)\n",
"attn_decoder1 = AttnDecoderRNN(hidden_size, pol_lang.n_words, dropout_p=0.1).to(device)" "attn_decoder1 = AttnDecoderRNN(embedding_size, hidden_size, pol_lang.n_words, dropout_p=0.1).to(device)"
] ]
}, },
{ {
@ -522,206 +527,206 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
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] ]
} }
], ],
@ -740,45 +745,45 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"> we re both in the same class .\n", "> he is a tennis player .\n",
"= jesteśmy oboje w tej samej klasie .\n", "= on jest tenisistą .\n",
"< jesteśmy w w . <EOS>\n", "< jest tenisistą . <EOS>\n",
"\n", "\n",
"> you re telling lies again .\n", "> i m not going to change my mind .\n",
"= znowu kłamiesz .\n", "= nie zamierzam zmieniać zdania .\n",
"< znowu mi . <EOS>\n", "< nie idę do . <EOS>\n",
"\n", "\n",
"> i m glad you re back .\n", "> i m totally confused .\n",
"= cieszę się że wróciliście .\n", "= jestem kompletnie zmieszany .\n",
"< cieszę się że . . <EOS>\n", "< jestem dziś . . <EOS>\n",
"\n", "\n",
"> i m not going to have any fun .\n", "> he is a pioneer in this field .\n",
"= nie będę się bawił .\n", "= jest pionierem w tej dziedzinie .\n",
"< nie wolno się . . <EOS>\n", "< on jest w w . . <EOS>\n",
"\n", "\n",
"> i m practising judo .\n", "> i m so excited .\n",
"= trenuję dżudo .\n", "= jestem taki podekscytowany !\n",
"< jestem . . <EOS>\n", "< jestem jestem głodny . <EOS>\n",
"\n", "\n",
"> you re wasting our time .\n", "> they are a party of six .\n",
"= marnujesz nasz czas .\n", "= jest ich sześć osób .\n",
"< masz ci na . . <EOS>\n", "< oni nie są . . <EOS>\n",
"\n", "\n",
"> he is anxious about her health .\n", "> he is the father of two children .\n",
"= on martwi się o jej zdrowie .\n", "= on jest ojcem dwójki dzieci .\n",
"< jest bardzo z niej . . <EOS>\n", "< on jest na do . . <EOS>\n",
"\n", "\n",
"> you re introverted .\n", "> i am leaving at four .\n",
"= jesteś zamknięty w sobie .\n", "= wychodzę o czwartej .\n",
"< masz . <EOS>\n", "< jestem na . <EOS>\n",
"\n", "\n",
"> she s correct for sure .\n", "> i m not much of a writer .\n",
"= ona z pewnością ma rację .\n", "= pisarz ze mnie żaden .\n",
"< ona jest z z . <EOS>\n", "< nie jestem mnie . . <EOS>\n",
"\n", "\n",
"> they re armed .\n", "> you re disgusting !\n",
"= są uzbrojeni .\n", "= jesteś obrzydliwy !\n",
"< są . . <EOS>\n", "< jesteś obrzydliwy . <EOS>\n",
"\n" "\n"
] ]
} }