{"id":4286,"date":"2022-09-18T22:16:48","date_gmt":"2022-09-18T14:16:48","guid":{"rendered":"http:\/\/www.sniper97.cn\/?p=4286"},"modified":"2022-09-25T17:52:55","modified_gmt":"2022-09-25T09:52:55","slug":"%e3%80%90%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e7%ac%94%e8%ae%b0%e3%80%91keras%e4%b8%adlayer%e3%80%81node%e4%b8%8etensor%e4%b9%8b%e9%97%b4%e7%9a%84%e5%85%b3%e7%b3%bb","status":"publish","type":"post","link":"http:\/\/www.sniper97.cn\/index.php\/note\/deep-learning\/note-deep-learning\/4286\/","title":{"rendered":"\u3010\u6df1\u5ea6\u5b66\u4e60\u7b14\u8bb0\u3011keras\u4e2dLayer\u3001Node\u4e0eTensor\u4e4b\u95f4\u7684\u5173\u7cfb"},"content":{"rendered":"\n

\u672c\u6587\u4e3b\u8981\u8bb2\u8ff0\u5728Keras\u4e2d\uff0cLayer\u3001Node\u4e0eTensor\u5728\u7f51\u7edc\u6784\u5efa\u4e2d\u7684\u5173\u7cfb\u3002<\/p>\n\n\n\n

\u4e00\u4e9b\u5173\u4e8ekeras.engine.base_layer\u7684\u4e00\u4e9b\u7b14\u8bb0\u6838\u5fc3\u7684\u8be6\u89c1github<\/a>\u3002<\/p>\n\n\n\n

1.Layer\u4e0eNode<\/h2>\n\n\n
\n
\"\"<\/figure><\/div>\n\n\n

\u5982\u4e0a\u56fe\uff0c\u8003\u8651\u4e00\u4e2a\u6700\u7b80\u5355\u7684\u7f51\u7edc\u7ed3\u6784\u3002\u60f3\u4e86\u5f88\u591a\u65b9\u6cd5\u6765\u8868\u8fbeLayer\u4e0eNode\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ece\u6211\u7684\u4e2a\u4eba\u7406\u89e3\u6765\u770b\uff0c\u8fd9\u79cd\u70ed\u72d7\u7ed3\u6784\u7684\u56fe\u6700\u80fd\u8868\u8fbe\u4ed6\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\uff08\u771f\u7684\u597d\u50cf\u70ed\u72d7\u54c8\u54c8\u54c8\u54c8 \u6211\u8fd8\u7279\u610f\u7ed9\u753b\u6210\u8fd9\u4e2a\u989c\u8272\uff09\u3002<\/p>\n\n\n\n

\u9996\u5148\u6211\u4eec\u770bkeras.engine.base_layer.Layer()\u4e2d\u521d\u59cb\u5316Node()\u7684\u4ee3\u7801\uff0c\u5728__add_inbound_node\u4e2d\uff08580\u884c\uff09:<\/p>\n\n\n\n

# Create node, add it to inbound nodes.
Node(
    self,
    inbound_layers=inbound_layers,
    node_indices=node_indices,
    tensor_indices=tensor_indices,
    input_tensors=input_tensors,
    output_tensors=output_tensors,
    input_masks=input_masks,
    output_masks=output_masks,
    input_shapes=input_shapes,
    output_shapes=output_shapes,
    arguments=arguments
)<\/pre>\n\n\n\n
\u5bf9\u6bd4Node\u7684__init__\uff08\uff09:<\/p>\n\n\n\n
def __init__(self, outbound_layer,
             inbound_layers, node_indices, tensor_indices,
             input_tensors, output_tensors,
             input_masks, output_masks,
             input_shapes, output_shapes,
             arguments=None):<\/pre>\n\n\n\n
\u53ef\u4ee5\u53d1\u73b0\uff0cLayer\u4e2d\u521d\u59cb\u5316Node\u65f6\uff0c\u5c06\u81ea\u8eab\uff08self\uff09\u4f20\u5230Node\u4e2d\u7684outbound_layer\uff0c\u4ece\u800c\u5b8c\u6210Node\u548cLayer\u4e2d\u7684\u7ed1\u5b9a\u3002<\/p>\n\n\n\n
\u968f\u540e\u5c31\u662f\u5176\u4ed6\u7684\u5e38\u89c4\u53c2\u6570\u8d4b\u503c\u3002<\/p>\n\n\n\n
\u90a3\u4e48Node\u4e2d\u7684\u8fd9\u4e9b\u53c2\u6570\u90fd\u4ee3\u8868\u7740\u4ec0\u4e48\u5462\uff1f<\/p>\n\n\n\n
\u5728\u5206\u522b\u8bb2\u8ff0\u5404\u4e2a\u53c2\u6570\u4e4b\u524d\uff0c\u5148\u8ba9\u4ed6\u4eec\u96c6\u5408\u7ed9\u6211\u4eec\u53c2\u89c2\u4e00\u4e0b\uff1a<\/p>\n\n\n\n
  • outbound_layer<\/li>
  • inbound_layers<\/strong><\/li>
  • node_indices<\/strong><\/li>
  • tensor_indices<\/strong><\/li>
  • tensor_indices<\/strong><\/li>
  • input_tensors<\/strong><\/li>
  • output_tensors<\/strong><\/li>
  • input_masks<\/strong><\/li>
  • output_masks<\/strong><\/li>
  • input_shapes<\/strong><\/li>
  • output_shapes<\/strong><\/li>
  • arguments<\/strong><\/li><\/ul>\n\n\n\n
    \u9700\u8981\u7279\u522b\u6ce8\u610f\u7684\u662f\uff0c\u9664\u4e86outbound_layer\uff0c\u5176\u4ed6\u7684\u53c2\u6570\u5747\u6709s\uff0c\u8bf4\u660e\u9664\u4e86outbound_layer\uff0c\u5176\u4ed6\u53c2\u6570\u5747\u5141\u8bb8\u591a\u4e2a\uff0c\u4e3a\u590d\u6570\u5f62\u5f0f\u3002<\/p>\n\n\n\n
    1.1 outbound_layer<\/h3>\n\n\n\n
    \u8fd9\u4e2a\u53c2\u6570\u4ee3\u8868\u5f53\u524dNode\u4e2d\u8d1f\u8d23\u8f93\u51fa\u7684\u5c42\u3002\u6bd4\u5982\u5728\u4e0a\u4f8bNode 2\u4e2d\uff0c\u8be5\u5c42\u5c31\u662fLayer B\uff0c\u4e00\u4e2a\u8282\u70b9\u4e2d\u53ea\u4f1a\u6709\u4e00\u4e2a\u5c42\u4f1a\u6709\u8f93\u51fa\uff08\u6bcf\u4e2aNode\u53ea\u4f1a\u7ed1\u5b9a\u4e00\u4e2aLayer\uff0c\u4f46\u662fLayer\u5e76\u4e0d\u4e00\u5b9a\u53ea\u80fd\u7ed1\u5b9a\u4e00\u4e2aNode\uff0c\u8fd9\u4e2a\u7a0d\u540e\u4f1a\u8bf4\u5230\uff09\uff0c\u56e0\u6b64output_layer\u6709\u4e14\u53ea\u4f1a\u6709\u4e00\u4e2a\uff0c\u56e0\u6b64\u5728Layer\u4e2d\u521d\u59cb\u5316Node\u65f6\uff0c\u8fd9\u4e2a\u53c2\u6570\u4f1a\u4f20\u5165self\uff0c\u4e5f\u5c31\u662f\u8be5\u5c42\u672c\u8eab\u3002\u8fd9\u4e2a\u6bd4\u8f83\u597d\u7406\u89e3\u3002<\/p>\n\n\n\n
    1.2 inbound_layers<\/h3>\n\n\n\n
    \u7406\u89e3\u4e86\u4e0a\u9762\u7684outbound_layer\uff0c\u8fd9\u4e2ainbound_layers\u4e5f\u7b80\u5355\u591a\u4e86\uff0c\u5c31\u662f\u5f53\u524dNode\u7684\u8f93\u5165\u5c42\u3002\u4e4b\u6240\u4ee5\u5141\u8bb8\u4e3a\u590d\u6570\uff0c\u662f\u56e0\u4e3a\u4e00\u4e2aNode\uff08Layer\uff09\u81ea\u7136\u5141\u8bb8\u591a\u8f93\u5165\u7684\u60c5\u51b5\uff08concatenate\uff09\uff0c\u4e0a\u4f8b\u4e2d\uff0cNode 2\u7684inbound_layers=[Layer A]\u3002<\/p>\n\n\n\n
    1.3 node_indices<\/h3>\n\n\n\n
    \u4e0a\u9762\u63d0\u5230\u8fc7\uff0c\u6bcf\u4e2aNode\u53ea\u80fd\u7ed1\u5b9a\u4e00\u4e2aLayer\uff0c\u4f46\u662f\u6bcf\u4e2aLayer\u5e76\u4e0d\u662f\u53ea\u80fd\u7ed1\u5b9a\u4e00\u4e2aNode\u3002\u90a3\u4e48\u4ec0\u4e48\u60c5\u51b5\u4e0b\u4f1a\u7ed1\u5b9a\u591a\u4e2aNode\u5462\uff1f\u5c31\u662f\u8be5\u5c42\u4e3a\u5171\u4eab\u5c42\u7684\u60c5\u51b5\u4e0b\u3002\u56e0\u6b64\u5728Layer\u4e0b\u53ef\u80fd\u6709\u591aNode\uff0c\u9700\u8981node_indices\u6765\u6307\u5b9a\u5f53\u524dNode\u662f\u8be5Layer\u7b2c\u51e0\u4e2aNode\u3002<\/p>\n\n\n\n
    \u5728\u975e\u5171\u4eab\u5c42\u7684\u60c5\u51b5\u4e0b\uff0c\u56e0\u4e3a\u6bcf\u4e2aLayer\u4e0b\u53ea\u6709\u4e00\u4e2aNode\uff0c\u56e0\u6b64\u8fd9\u4e2a\u503c\u4e3a0\u3002<\/p>\n\n\n\n
    1.4 input_tensors \u4e0e output_tensors<\/h3>\n\n\n\n
    \u5206\u522b\u8868\u793a\u5f53\u524dNode\uff08Layer\uff09\u7684\u8f93\u5165tensor\u4e0e\u8f93\u51fatensor\u3002\u5728\u4e0a\u4f8b\u4e2d\uff0c\u8f93\u5165\u548c\u8f93\u51fatensor\u5747\u6709\u4e00\u4e2a\uff0c\u5728\u591a\u8f93\u5165\uff08\u51fa\uff09\uff08concatenate\uff09\u7684\u60c5\u51b5\u4e0b\uff0c\u4f1a\u6709\u591a\u4e2ainput\uff08output\uff09\u3002<\/p>\n\n\n\n
    \u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8fd9\u4e9b\u53c2\u6570\u662f\u5c42\u5185\u6240\u6709Node\u5171\u4eab\u7684\uff0c\u5bf9\u4e8e\u4e0d\u540c\u7684Node\uff0c\u53ea\u662f\u7528\u5404\u79cdindex\u6765\u533a\u5206\u5b83\u4eec\u3002<\/p>\n\n\n\n
    1.5 tensor_indices<\/h3>\n\n\n\n
    \u7c7b\u4f3c\u4e8enode_indices\uff0c\u53ea\u4e0d\u8fc7\u8fd9\u91cc\u7528\u6765\u6307\u5b9a\u5f53\u524d\u5c42\u7684output_tensors\u4e2d\u6bcf\u4e2atensor\u7684\u7d22\u5f15\uff0c\u5bf9\u5e94\u591a\u8f93\u51fa\u7684\u60c5\u51b5\u3002\u5f53\u4e3a\u5355\u8f93\u51fa\u65f6\uff0c\u4e3a0\u3002<\/p>\n\n\n\n
    1.6 input_shapes \u4e0e output_shapes<\/h3>\n\n\n\n
    \u5206\u522b\u8868\u793ainput_tensors \u4e0e output_tensors\u7684shape\u3002<\/p>\n\n\n\n
    \u5230\u8fd9\u91cc\uff0c\u5176\u5b9e\u6211\u4eec\u53ef\u4ee5\u53d1\u73b0\uff0cNode\u5176\u5b9e\u5c31\u662f\u7528\u6765\u8bb0\u5f55\u4e0e\u8fde\u63a5Layer\u7684\u4e00\u4e2a\u5de5\u5177\uff0c\u7528\u6765\u5c06\u591a\u4e2aLayer\u4e32\u8054\u8d77\u6765\u5e76\u4e14\u4fdd\u5b58\u4e00\u4e9b\u57fa\u672c\u4fe1\u606f\u3002\u56e0\u6b64\uff0c\u6211\u89c9\u5f97\u201c\u70ed\u72d7\u201d\u5f62\u72b6\u66f4\u80fd\u591f\u8868\u8fbeLayer\u4e0eNode\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n\n\n\n
    \u90a3\u4e48\u4e0a\u9762\u63d0\u5230\u7684\u7d22\u5f15\u7b49\u53c2\u6570\uff0c\u53c8\u662f\u4ece\u54ea\u91cc\u6765\u7684\u5462\uff1f\u6211\u4eec\u89c2\u5bdfLayer\u4e2d\u7684\u4ee3\u7801\uff0c\u5728565\u884c\uff1a<\/p>\n\n\n\n
    # Collect input tensor(s) coordinates.
    inbound_layers = []
    node_indices = []
    tensor_indices = []
    for x in input_tensors:
        if hasattr(x, '_keras_history'):
            inbound_layer, node_index, tensor_index = x._keras_history
            inbound_layers.append(inbound_layer)
            node_indices.append(node_index)
            tensor_indices.append(tensor_index)
        else:
            inbound_layers.append(None)
            node_indices.append(None)
            tensor_indices.append(None)<\/pre>\n\n\n\n
    \u4e0d\u96be\u53d1\u73b0\uff0c\u5bf9\u4e8e\u6bcf\u4e00\u4e2a\u8f93\u5165tensor x\uff0c\u4f1a\u68c0\u67e5\u5b83\u662f\u4e0d\u662fkeras_tensor\uff0c\u5982\u679c\u662f\uff0c\u5219\u4f1a\u4ece_keras_history\u4e2d\u83b7\u53d6 inbound_layer, node_index, tensor_index \u4e09\u4e2a\u503c\uff0c\u5206\u522b\u4e3aNode\u521d\u59cb\u5316\u65f6\u8f93\u5165\u7684\u5bf9\u5e94\u4e09\u4e2a\u503c\u3002<\/p>\n\n\n\n
    \u90a3\u4e48Tensor\u53c8\u662f\u4ec0\u4e48\u5462\uff1f<\/p>\n\n\n\n
    2.Tensor\u548cLayer\u4e4b\u95f4\u7684\u5173\u7cfb<\/h2>\n\n\n\n
    Tensor\u5728Layer\u4e4b\u95f4\u6d41\u52a8\uff0c\u6bcf\u4e00\u4e2aTensor\u90fd\u662f\u4ee5\u4e00\u4e2a\u5360\u4f4d\u7b26\uff08placeholder\uff09\u7684\u5f62\u5f0f\u5b58\u5728\uff0c\u800c\u6bcf\u4e00\u4e2aTensor\u53c8\u90fd\u5305\u542b\u4e00\u4e9b\u5c5e\u6027\uff0c\u7528\u6765\u63cf\u8ff0\u8fd9\u4e2aTensor\u7684\u6765\u5386\u3002<\/p>\n\n\n\n
    • inbound_layer<\/li>
    • node_index<\/li>
    • tensor_index<\/li><\/ul>\n\n\n\n
      \u4e09\u4e2a\uff0c\u5b83\u4eec\u5408\u8d77\u6765\u63cf\u8ff0\u4e86\u8be5Tensor\u7684\u6765\u6e90\u3002inbound_layer\u63cf\u8ff0\u4e86\u8be5Tensor\u6240\u5c5e\u7684Layer\uff0c\u6bd4\u5982Layer B\u3002node_index\u63cf\u8ff0\u4e86Tensor\u5728Layer\u4e2d\u662f\u7b2c\u51e0\u4e2aNode\u3002tensor_index\u5219\u63cf\u8ff0\u4e86\u8be5Tensor\u5728Node\u4e2d\u662f\u7b2c\u51e0\u4e2atensor\u3002\u6839\u636e\u8fd9\u4e09\u4e2a\u503c\uff0c\u5c31\u53ef\u4ee5\u4ece Layer->Node->Tensor\u7cbe\u786e\u5730\u5b9a\u4f4d\u5230\u8fd9\u4e2aTensor\u7684\u7531\u6765\u3002<\/p>\n\n\n\n
      \u800c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0cNode\u5728\u8fd9\u91cc\u5c31\u8d77\u5230\u4e86\u62c5\u4efbTensor\u548cLayer\u4e4b\u95f4\u7684\u4e00\u4e2a\u6865\u6881\u4f5c\u7528\u3002<\/p>\n\n\n\n
      <\/p>\n","protected":false},"excerpt":{"rendered":"
      \u672c\u6587\u4e3b\u8981\u8bb2\u8ff0\u5728Keras\u4e2d\uff0cLayer\u3001Node\u4e0eTensor\u5728\u7f51\u7edc\u6784\u5efa\u4e2d\u7684\u5173\u7cfb\u3002 \u4e00\u4e9b\u5173\u4e8ekera […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9],"tags":[],"views":4958,"_links":{"self":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4286"}],"collection":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/comments?post=4286"}],"version-history":[{"count":5,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4286\/revisions"}],"predecessor-version":[{"id":4295,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4286\/revisions\/4295"}],"wp:attachment":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/media?parent=4286"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/categories?post=4286"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/tags?post=4286"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}