{"action":"created","comment":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/184963829","pull_request_review_id":116259482,"id":184963829,"diff_hunk":"@@ -0,0 +1,112 @@\n+\"\"\"\n+Spectral Normalization from https://arxiv.org/abs/1802.05957\n+\"\"\"\n+import torch\n+from torch.nn.functional import normalize\n+from torch.nn.parameter import Parameter\n+\n+\n+class SpectralNorm(object):\n+\n+    def __init__(self, name='weight', n_power_iterations=1, eps=1e-12):\n+        self.name = name\n+        self.n_power_iterations = n_power_iterations\n+        self.eps = eps\n+\n+    def compute_weight(self, module):\n+        weight = module._parameters[self.name + '_org']\n+        u = module._buffers[self.name + '_u']\n+        height = weight.size(0)\n+        weight_mat = weight.view(height, -1)\n+        for _ in range(self.n_power_iterations):\n+            v = normalize(torch.matmul(weight_mat.t(), u), dim=0, eps=self.eps)\n+            u = normalize(torch.matmul(weight_mat, v), dim=0, eps=self.eps)\n+\n+        sigma = torch.dot(u, torch.matmul(weight_mat, v))\n+        weight.data /= sigma\n+        return weight, u\n+\n+    def remove(self, module):\n+        weight = module._parameters[self.name + '_org']\n+        del module._parameters[self.name]\n+        del module._buffers[self.name + '_u']\n+        del module._parameters[self.name + '_org']\n+        module.register_parameter(self.name, weight)\n+\n+    def __call__(self, module, inputs):\n+        weight, u = self.compute_weight(module)\n+        setattr(module, self.name, weight)\n+        setattr(module, self.name + '_u', u)\n+\n+    @staticmethod\n+    def apply(module, name, n_power_iterations, eps):\n+        fn = SpectralNorm(name, n_power_iterations, eps)\n+        weight = module._parameters[name]\n+        height = weight.size(0)\n+\n+        u = normalize(weight.data.new(height).normal_(0, 1), dim=0, eps=fn.eps)\n+        module.register_parameter(fn.name + \"_org\", weight)\n+        module.register_buffer(fn.name + \"_u\", u)\n+\n+        module.register_forward_pre_hook(fn)\n+        return fn\n+\n+\n+def spectral_norm(module, name='weight', n_power_iterations=1, eps=1e-12):\n+    r\"\"\"Applies spectral normalization to a parameter in the given module.\n+\n+    .. math::\n+         \\mathbf{W} &= \\dfrac{\\mathbf{W}}{\\sigma(\\mathbf{W})} \\\\\n+         \\sigma(\\mathbf{W}) &= \\max_{\\mathbf{h}: \\mathbf{h} \\ne 0} \\dfrac{\\|\\mathbf{W} \\mathbf{h}\\|_2}{\\|\\mathbf{h}\\|_2}\n+\n+    Spectral normalization stabilizes the training of discriminators (critics)\n+    in GANs by rescaling the weight tensor with spectral norm :math:`\\sigma` of\n+    the weight matrix calculated using power iteration method. If the dimension\n+    of the weight tensor is greater than 2, reshaped to 2D in power iteration method\n+    to get spectral norm. This is implemented via a hook that calculates\n+    spectral norm and rescales weight before every :meth:`~Module.forward`\n+    call.\n+\n+    See https://arxiv.org/abs/1802.05957","path":"torch/nn/utils/spectral_norm.py","position":70,"original_position":70,"commit_id":"3ea9271228935d3e7503a2b7e607962fcf042f87","original_commit_id":"3ea9271228935d3e7503a2b7e607962fcf042f87","user":{"login":"crcrpar","id":16191443,"avatar_url":"https://avatars2.githubusercontent.com/u/16191443?v=4","gravatar_id":"","url":"https://api.github.com/users/crcrpar","html_url":"https://github.com/crcrpar","followers_url":"https://api.github.com/users/crcrpar/followers","following_url":"https://api.github.com/users/crcrpar/following{/other_user}","gists_url":"https://api.github.com/users/crcrpar/gists{/gist_id}","starred_url":"https://api.github.com/users/crcrpar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/crcrpar/subscriptions","organizations_url":"https://api.github.com/users/crcrpar/orgs","repos_url":"https://api.github.com/users/crcrpar/repos","events_url":"https://api.github.com/users/crcrpar/events{/privacy}","received_events_url":"https://api.github.com/users/crcrpar/received_events","type":"User","site_admin":false},"body":"sure","created_at":"2018-04-30T11:35:33Z","updated_at":"2018-04-30T11:35:34Z","html_url":"https://github.com/pytorch/pytorch/pull/6929#discussion_r184963829","pull_request_url":"https://api.github.com/repos/pytorch/pytorch/pulls/6929","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/184963829"},"html":{"href":"https://github.com/pytorch/pytorch/pull/6929#discussion_r184963829"},"pull_request":{"href":"https://api.github.com/repos/pytorch/pytorch/pulls/6929"}},"in_reply_to_id":184941499},"pull_request":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/6929","id":183915867,"html_url":"https://github.com/pytorch/pytorch/pull/6929","diff_url":"https://github.com/pytorch/pytorch/pull/6929.diff","patch_url":"https://github.com/pytorch/pytorch/pull/6929.patch","issue_url":"https://api.github.com/repos/pytorch/pytorch/issues/6929","number":6929,"state":"open","locked":false,"title":"add spectral normalization [pytorch]","user":{"login":"crcrpar","id":16191443,"avatar_url":"https://avatars2.githubusercontent.com/u/16191443?v=4","gravatar_id":"","url":"https://api.github.com/users/crcrpar","html_url":"https://github.com/crcrpar","followers_url":"https://api.github.com/users/crcrpar/followers","following_url":"https://api.github.com/users/crcrpar/following{/other_user}","gists_url":"https://api.github.com/users/crcrpar/gists{/gist_id}","starred_url":"https://api.github.com/users/crcrpar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/crcrpar/subscriptions","organizations_url":"https://api.github.com/users/crcrpar/orgs","repos_url":"https://api.github.com/users/crcrpar/repos","events_url":"https://api.github.com/users/crcrpar/events{/privacy}","received_events_url":"https://api.github.com/users/crcrpar/received_events","type":"User","site_admin":false},"body":"related to #5027.\r\nThis PR aims at implementing Spectral Normalization in a way similar to `torch.nn.utils.weight_norm`.","created_at":"2018-04-25T03:19:57Z","updated_at":"2018-04-30T11:35:34Z","closed_at":null,"merged_at":null,"merge_commit_sha":"182fcb739ec57d8916a5e1185fa0882a29fc3580","assignee":null,"assignees":[],"requested_reviewers":[{"login":"zdevito","id":370202,"avatar_url":"https://avatars0.githubusercontent.com/u/370202?v=4","gravatar_id":"","url":"https://api.github.com/users/zdevito","html_url":"https://github.com/zdevito","followers_url":"https://api.github.com/users/zdevito/followers","following_url":"https://api.github.com/users/zdevito/following{/other_user}","gists_url":"https://api.github.com/users/zdevito/gists{/gist_id}","starred_url":"https://api.github.com/users/zdevito/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zdevito/subscriptions","organizations_url":"https://api.github.com/users/zdevito/orgs","repos_url":"https://api.github.com/users/zdevito/repos","events_url":"https://api.github.com/users/zdevito/events{/privacy}","received_events_url":"https://api.github.com/users/zdevito/received_events","type":"User","site_admin":false},{"login":"colesbury","id":655866,"avatar_url":"https://avatars1.githubusercontent.com/u/655866?v=4","gravatar_id":"","url":"https://api.github.com/users/colesbury","html_url":"https://github.com/colesbury","followers_url":"https://api.github.com/users/colesbury/followers","following_url":"https://api.github.com/users/colesbury/following{/other_user}","gists_url":"https://api.github.com/users/colesbury/gists{/gist_id}","starred_url":"https://api.github.com/users/colesbury/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/colesbury/subscriptions","organizations_url":"https://api.github.com/users/colesbury/orgs","repos_url":"https://api.github.com/users/colesbury/repos","events_url":"https://api.github.com/users/colesbury/events{/privacy}","received_events_url":"https://api.github.com/users/colesbury/received_events","type":"User","site_admin":false},{"login":"soumith","id":1310570,"avatar_url":"https://avatars0.githubusercontent.com/u/1310570?v=4","gravatar_id":"","url":"https://api.github.com/users/soumith","html_url":"https://github.com/soumith","followers_url":"https://api.github.com/users/soumith/followers","following_url":"https://api.github.com/users/soumith/following{/other_user}","gists_url":"https://api.github.com/users/soumith/gists{/gist_id}","starred_url":"https://api.github.com/users/soumith/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/soumith/subscriptions","organizations_url":"https://api.github.com/users/soumith/orgs","repos_url":"https://api.github.com/users/soumith/repos","events_url":"https://api.github.com/users/soumith/events{/privacy}","received_events_url":"https://api.github.com/users/soumith/received_events","type":"User","site_admin":false},{"login":"gchanan","id":3768583,"avatar_url":"https://avatars2.githubusercontent.com/u/3768583?v=4","gravatar_id":"","url":"https://api.github.com/users/gchanan","html_url":"https://github.com/gchanan","followers_url":"https://api.github.com/users/gchanan/followers","following_url":"https://api.github.com/users/gchanan/following{/other_user}","gists_url":"https://api.github.com/users/gchanan/gists{/gist_id}","starred_url":"https://api.github.com/users/gchanan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gchanan/subscriptions","organizations_url":"https://api.github.com/users/gchanan/orgs","repos_url":"https://api.github.com/users/gchanan/repos","events_url":"https://api.github.com/users/gchanan/events{/privacy}","received_events_url":"https://api.github.com/users/gchanan/received_events","type":"User","site_admin":false},{"login":"apaszke","id":4583066,"avatar_url":"https://avatars3.githubusercontent.com/u/4583066?v=4","gravatar_id":"","url":"https://api.github.com/users/apaszke","html_url":"https://github.com/apaszke","followers_url":"https://api.github.com/users/apaszke/followers","following_url":"https://api.github.com/users/apaszke/following{/other_user}","gists_url":"https://api.github.com/users/apaszke/gists{/gist_id}","starred_url":"https://api.github.com/users/apaszke/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/apaszke/subscriptions","organizations_url":"https://api.github.com/users/apaszke/orgs","repos_url":"https://api.github.com/users/apaszke/repos","events_url":"https://api.github.com/users/apaszke/events{/privacy}","received_events_url":"https://api.github.com/users/apaszke/received_events","type":"User","site_admin":false}],"requested_teams":[],"labels":[],"milestone":null,"commits_url":"https://api.github.com/repos/pytorch/pytorch/pulls/6929/commits","review_comments_url":"https://api.github.com/repos/pytorch/pytorch/pulls/6929/comments","review_comment_url":"https://api.github.com/repos/pytorch/pytorch/pulls/comments{/number}","comments_url":"https://api.github.com/repos/pytorch/pytorch/issues/6929/comments","statuses_url":"https: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