{"action":"created","comment":{"url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments/184568662","pull_request_review_id":115792884,"id":184568662,"diff_hunk":"@@ -0,0 +1,350 @@\n+/*******************************************************************************\n+* Copyright 2017-2018 Intel Corporation\n+*\n+* Licensed under the Apache License, Version 2.0 (the \"License\");\n+* you may not use this file except in compliance with the License.\n+* You may obtain a copy of the License at\n+*\n+*     http://www.apache.org/licenses/LICENSE-2.0\n+*\n+* Unless required by applicable law or agreed to in writing, software\n+* distributed under the License is distributed on an \"AS IS\" BASIS,\n+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+* See the License for the specific language governing permissions and\n+* limitations under the License.\n+*******************************************************************************/\n+\n+#include \"ngraph/runtime/cpu/op/max_pool_with_indices.hpp\"\n+#include \"ngraph/function.hpp\"\n+#include \"ngraph/op/add.hpp\"\n+#include \"ngraph/op/constant.hpp\"\n+#include \"ngraph/op/greater.hpp\"\n+#include \"ngraph/op/select_and_scatter.hpp\"\n+#include \"ngraph/util.hpp\"\n+\n+using namespace std;\n+using namespace ngraph;\n+\n+op::MaxPoolWithIndices::MaxPoolWithIndices(const shared_ptr<Node>& arg,\n+                                           const Shape& window_shape,\n+                                           const Strides& window_movement_strides,\n+                                           const Shape& padding_below,\n+                                           const Shape& padding_above)\n+    : RequiresTensorViewArgs(\"MaxPoolWithIndices\", {arg})\n+    , m_window_shape(window_shape)\n+    , m_window_movement_strides(window_movement_strides)\n+    , m_padding_below(padding_below)\n+    , m_padding_above(padding_above)\n+{\n+    auto& arg_shape = get_input_shape(0);\n+\n+    //\n+    // Make sure arg: NCDi for some Di of rank>0, N != 0, C != 0.\n+    //\n+    if (arg_shape.size() < 3)\n+    {\n+        throw ngraph_error(\n+            \"Max-pool data batch input must have rank of at least 3 (one batch axis, one \"\n+            \"channel axis, at least one spatial dimension).\");\n+    }\n+\n+    size_t batch_size = arg_shape[0];\n+    if (batch_size == 0)\n+    {\n+        throw ngraph_error(\"Max-pool data batch size is zero.\");\n+    }\n+\n+    size_t channel_count = arg_shape[1];\n+    if (channel_count == 0)\n+    {\n+        throw ngraph_error(\"Max-pool requires at least one feature channel.\");\n+    }\n+\n+    size_t spatial_dimension_count = arg_shape.size() - 2;\n+\n+    //\n+    // Make sure window shape, window movement strides, and padding have same rank as Di.\n+    //\n+    if (window_shape.size() != spatial_dimension_count)\n+    {\n+        throw ngraph_error(\n+            \"Max-pool window shape rank does not match number of spatial dimensions.\");\n+    }\n+\n+    if (window_movement_strides.size() != spatial_dimension_count)\n+    {\n+        throw ngraph_error(\n+            \"Max-pool window movement stride rank does not match number of spatial \"\n+            \"dimensions.\");\n+    }\n+\n+    if (padding_below.size() != spatial_dimension_count)\n+    {\n+        throw ngraph_error(\n+            \"Max-pool below-padding rank does not match number of spatial dimensions.\");\n+    }\n+\n+    if (padding_above.size() != spatial_dimension_count)\n+    {\n+        throw ngraph_error(\n+            \"Max-pool above-padding rank does not match number of spatial dimensions.\");\n+    }\n+\n+    //\n+    // Extract input item shape Di and make sure all dimensions are larger than 0.\n+    //\n+    Shape input_item_virtual_shape;\n+\n+    for (size_t i = 0; i < spatial_dimension_count; i++)\n+    {\n+        size_t dim_size = arg_shape[1 + 1 + i];\n+        size_t virtual_dim_size = padding_below[i] + dim_size + padding_above[i];\n+        input_item_virtual_shape.push_back(virtual_dim_size);\n+\n+        if (virtual_dim_size == 0)\n+        {\n+            throw ngraph_error(\"Max-pool input spatial dimension is zero even after padding.\");\n+        }\n+    }\n+\n+    //\n+    // Make sure window shape dimensions are all larger than 0.\n+    //\n+    for (size_t i = 0; i < spatial_dimension_count; i++)\n+    {\n+        if (window_shape[i] == 0)\n+        {\n+            throw ngraph_error(\"Max-pool window shape has a zero-length axis.\");\n+        }\n+    }\n+\n+    //\n+    // Make the max pooling window fits within the spatial dimensions.\n+    //\n+    for (size_t i = 0; i < spatial_dimension_count; i++)\n+    {\n+        if (window_shape[i] > input_item_virtual_shape[i])\n+        {\n+            throw ngraph_error(\n+                \"Max-pool window shape is larger than the spatial dimensions even after \"\n+                \"padding.\");\n+        }\n+    }\n+\n+    //\n+    // Compute output item shape Do, checking at the same time that all window movement strides are larger than 0.\n+    //\n+    Shape output_item_shape;\n+\n+    for (size_t i = 0; i < spatial_dimension_count; i++)\n+    {\n+        if (window_movement_strides[i] == 0)\n+        {\n+            throw ngraph_error(\"Max-pool window axis movement stride is zero.\");\n+        }\n+        output_item_shape.push_back(ceil_div(input_item_virtual_shape[i] - window_shape[i] + 1,\n+                                             window_movement_strides[i]));\n+    }\n+\n+    //\n+    // Construct result shape: NCDo.\n+    //\n+    Shape result_shape(1 + 1 + spatial_dimension_count);\n+    result_shape[0] = batch_size;\n+    result_shape[1] = channel_count;\n+    copy(output_item_shape.begin(), output_item_shape.end(), result_shape.begin() + 2);\n+\n+    add_output(get_input_element_type(0), result_shape);\n+    add_output(element::i32, result_shape);","path":"src/ngraph/runtime/cpu/op/max_pool_with_indices.cpp","position":158,"original_position":158,"commit_id":"a06a573788ddaa80a5a08d5554fb97e19a2fbf57","original_commit_id":"a06a573788ddaa80a5a08d5554fb97e19a2fbf57","user":{"login":"Krovatkin","id":5086322,"avatar_url":"https://avatars0.githubusercontent.com/u/5086322?v=4","gravatar_id":"","url":"https://api.github.com/users/Krovatkin","html_url":"https://github.com/Krovatkin","followers_url":"https://api.github.com/users/Krovatkin/followers","following_url":"https://api.github.com/users/Krovatkin/following{/other_user}","gists_url":"https://api.github.com/users/Krovatkin/gists{/gist_id}","starred_url":"https://api.github.com/users/Krovatkin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Krovatkin/subscriptions","organizations_url":"https://api.github.com/users/Krovatkin/orgs","repos_url":"https://api.github.com/users/Krovatkin/repos","events_url":"https://api.github.com/users/Krovatkin/events{/privacy}","received_events_url":"https://api.github.com/users/Krovatkin/received_events","type":"User","site_admin":false},"body":"MKLDNN uses either `u8` or `s32` to encode indices , [source](https://github.com/intel/mkl-dnn/blob/2df65197f1c841473144a6fa7e3118628baac773/src/cpu/cpu_pooling_pd.hpp#L35) I'd suggest we could always use `i32` until there's some evidence that we need to optimize for space or to reduce copying.","created_at":"2018-04-27T00:49:17Z","updated_at":"2018-04-27T00:59:32Z","html_url":"https://github.com/NervanaSystems/ngraph/pull/900#discussion_r184568662","pull_request_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments/184568662"},"html":{"href":"https://github.com/NervanaSystems/ngraph/pull/900#discussion_r184568662"},"pull_request":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900"}},"in_reply_to_id":184519933},"pull_request":{"url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900","id":183537161,"html_url":"https://github.com/NervanaSystems/ngraph/pull/900","diff_url":"https://github.com/NervanaSystems/ngraph/pull/900.diff","patch_url":"https://github.com/NervanaSystems/ngraph/pull/900.patch","issue_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/900","number":900,"state":"open","locked":false,"title":"MaxPoolWithIndices","user":{"login":"Krovatkin","id":5086322,"avatar_url":"https://avatars0.githubusercontent.com/u/5086322?v=4","gravatar_id":"","url":"https://api.github.com/users/Krovatkin","html_url":"https://github.com/Krovatkin","followers_url":"https://api.github.com/users/Krovatkin/followers","following_url":"https://api.github.com/users/Krovatkin/following{/other_user}","gists_url":"https://api.github.com/users/Krovatkin/gists{/gist_id}","starred_url":"https://api.github.com/users/Krovatkin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Krovatkin/subscriptions","organizations_url":"https://api.github.com/users/Krovatkin/orgs","repos_url":"https://api.github.com/users/Krovatkin/repos","events_url":"https://api.github.com/users/Krovatkin/events{/privacy}","received_events_url":"https://api.github.com/users/Krovatkin/received_events","type":"User","site_admin":false},"body":"","created_at":"2018-04-23T19:42:50Z","updated_at":"2018-04-27T00:59:32Z","closed_at":null,"merged_at":null,"merge_commit_sha":"608cad5c8b4a4cb60aee06772e82328e10b0b507","assignee":null,"assignees":[],"requested_reviewers":[{"login":"mbrookhart","id":4065489,"avatar_url":"https://avatars0.githubusercontent.com/u/4065489?v=4","gravatar_id":"","url":"https://api.github.com/users/mbrookhart","html_url":"https://github.com/mbrookhart","followers_url":"https://api.github.com/users/mbrookhart/followers","following_url":"https://api.github.com/users/mbrookhart/following{/other_user}","gists_url":"https://api.github.com/users/mbrookhart/gists{/gist_id}","starred_url":"https://api.github.com/users/mbrookhart/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mbrookhart/subscriptions","organizations_url":"https://api.github.com/users/mbrookhart/orgs","repos_url":"https://api.github.com/users/mbrookhart/repos","events_url":"https://api.github.com/users/mbrookhart/events{/privacy}","received_events_url":"https://api.github.com/users/mbrookhart/received_events","type":"User","site_admin":false}],"requested_teams":[],"labels":[],"milestone":null,"commits_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900/commits","review_comments_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900/comments","review_comment_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments{/number}","comments_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/900/comments","statuses_url":"https://api.github.com/repos/NervanaSystems/ngraph/statuses/a06a573788ddaa80a5a08d5554fb97e19a2fbf57","head":{"label":"NervanaSystems:krovatkin/bprop_nodes","ref":"krovatkin/bprop_nodes","sha":"a06a573788ddaa80a5a08d5554fb97e19a2fbf57","user":{"login":"NervanaSystems","id":9260121,"avatar_url":"https://avatars2.githubusercontent.com/u/9260121?v=4","gravatar_id":"","url":"https://api.github.com/users/NervanaSystems","html_url":"https://github.com/NervanaSystems","followers_url":"https://api.github.com/users/NervanaSystems/followers","following_url":"https://api.github.com/users/NervanaSystems/following{/other_user}","gists_url":"https://api.github.com/users/NervanaSystems/gists{/gist_id}","starred_url":"https://api.github.com/users/NervanaSystems/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NervanaSystems/subscriptions","organizations_url":"https://api.github.com/users/NervanaSystems/orgs","repos_url":"https://api.github.com/users/NervanaSystems/repos","events_url":"https://api.github.com/users/NervanaSystems/events{/privacy}","received_events_url":"https://api.github.com/users/NervanaSystems/received_events","type":"Organization","site_admin":false},"repo":{"id":98252973,"name":"ngraph","full_name":"NervanaSystems/ngraph","owner":{"login":"NervanaSystems","id":9260121,"avatar_url":"https://avatars2.githubusercontent.com/u/9260121?v=4","gravatar_id":"","url":"https://api.github.com/users/NervanaSystems","html_url":"https://github.com/NervanaSystems","followers_url":"https://api.github.com/users/NervanaSystems/followers","following_url":"https://api.github.com/users/NervanaSystems/following{/other_user}","gists_url":"https://api.github.com/users/NervanaSystems/gists{/gist_id}","starred_url":"https://api.github.com/users/NervanaSystems/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NervanaSystems/subscriptions","organizations_url":"https://api.github.com/users/NervanaSystems/orgs","repos_url":"https://api.github.com/users/NervanaSystems/repos","events_url":"https://api.github.com/users/NervanaSystems/events{/privacy}","received_events_url":"https://api.github.com/users/NervanaSystems/received_events","type":"Organization","site_admin":false},"private":false,"html_url":"https://github.com/NervanaSystems/ngraph","description":"nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks","fork":false,"url":"https://api.github.com/repos/NervanaSystems/ngraph","forks_url":"https://api.github.com/repos/NervanaSystems/ngraph/forks","keys_url":"https://api.github.com/repos/NervanaSystems/ngraph/keys{/key_id}","collaborators_url":"https://api.github.com/repos/NervanaSystems/ngraph/collaborators{/collaborator}","teams_url":"https://api.github.com/repos/NervanaSystems/ngraph/teams","hooks_url":"https://api.github.com/repos/NervanaSystems/ngraph/hooks","issue_events_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/events{/number}","events_url":"https://api.github.com/repos/NervanaSystems/ngraph/events","assignees_url":"https://api.github.com/repos/NervanaSystems/ngraph/assignees{/user}","branches_url":"https://api.github.com/repos/NervanaSystems/ngraph/branches{/branch}","tags_url":"https://api.github.com/repos/NervanaSystems/ngraph/tags","blobs_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/blobs{/sha}","git_tags_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/tags{/sha}","git_refs_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/refs{/sha}","trees_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/trees{/sha}","statuses_url":"https://api.github.com/repos/NervanaSystems/ngraph/statuses/{sha}","languages_url":"https://api.github.com/repos/NervanaSystems/ngraph/languages","stargazers_url":"https://api.github.com/repos/NervanaSystems/ngraph/stargazers","contributors_url":"https://api.github.com/repos/NervanaSystems/ngraph/contributors","subscribers_url":"https://api.github.com/repos/NervanaSystems/ngraph/subscribers","subscription_url":"https://api.github.com/repos/NervanaSystems/ngraph/subscription","commits_url":"https://api.github.com/repos/NervanaSystems/ngraph/commits{/sha}","git_commits_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/commits{/sha}","comments_url":"https://api.github.com/repos/NervanaSystems/ngraph/comments{/number}","issue_comment_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/comments{/number}","contents_url":"https://api.github.com/repos/NervanaSystems/ngraph/contents/{+path}","compare_url":"https://api.github.com/repos/NervanaSystems/ngraph/compare/{base}...{head}","merges_url":"https://api.github.com/repos/NervanaSystems/ngraph/merges","archive_url":"https://api.github.com/repos/NervanaSystems/ngraph/{archive_format}{/ref}","downloads_url":"https://api.github.com/repos/NervanaSystems/ngraph/downloads","issues_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues{/number}","pulls_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls{/number}","milestones_url":"https://api.github.com/repos/NervanaSystems/ngraph/milestones{/number}","notifications_url":"https://api.github.com/repos/NervanaSystems/ngraph/notifications{?since,all,participating}","labels_url":"https://api.github.com/repos/NervanaSystems/ngraph/labels{/name}","releases_url":"https://api.github.com/repos/NervanaSystems/ngraph/releases{/id}","deployments_url":"https://api.github.com/repos/NervanaSystems/ngraph/deployments","created_at":"2017-07-25T02:02:38Z","updated_at":"2018-04-26T23:59:21Z","pushed_at":"2018-04-27T00:28:51Z","git_url":"git://github.com/NervanaSystems/ngraph.git","ssh_url":"git@github.com:NervanaSystems/ngraph.git","clone_url":"https://github.com/NervanaSystems/ngraph.git","svn_url":"https://github.com/NervanaSystems/ngraph","homepage":"http://ngraph.nervanasys.com/docs/latest","size":28643,"stargazers_count":399,"watchers_count":399,"language":"C++","has_issues":true,"has_projects":true,"has_downloads":true,"has_wiki":true,"has_pages":false,"forks_count":38,"mirror_url":null,"archived":false,"open_issues_count":24,"license":{"key":"apache-2.0","name":"Apache License 2.0","spdx_id":"Apache-2.0","url":"https://api.github.com/licenses/apache-2.0"},"forks":38,"open_issues":24,"watchers":399,"default_branch":"master"}},"base":{"label":"NervanaSystems:master","ref":"master","sha":"870200d1c4daeed2e5d8d87fe4c1e0514f748abb","user":{"login":"NervanaSystems","id":9260121,"avatar_url":"https://avatars2.githubusercontent.com/u/9260121?v=4","gravatar_id":"","url":"https://api.github.com/users/NervanaSystems","html_url":"https://github.com/NervanaSystems","followers_url":"https://api.github.com/users/NervanaSystems/followers","following_url":"https://api.github.com/users/NervanaSystems/following{/other_user}","gists_url":"https://api.github.com/users/NervanaSystems/gists{/gist_id}","starred_url":"https://api.github.com/users/NervanaSystems/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NervanaSystems/subscriptions","organizations_url":"https://api.github.com/users/NervanaSystems/orgs","repos_url":"https://api.github.com/users/NervanaSystems/repos","events_url":"https://api.github.com/users/NervanaSystems/events{/privacy}","received_events_url":"https://api.github.com/users/NervanaSystems/received_events","type":"Organization","site_admin":false},"repo":{"id":98252973,"name":"ngraph","full_name":"NervanaSystems/ngraph","owner":{"login":"NervanaSystems","id":9260121,"avatar_url":"https://avatars2.githubusercontent.com/u/9260121?v=4","gravatar_id":"","url":"https://api.github.com/users/NervanaSystems","html_url":"https://github.com/NervanaSystems","followers_url":"https://api.github.com/users/NervanaSystems/followers","following_url":"https://api.github.com/users/NervanaSystems/following{/other_user}","gists_url":"https://api.github.com/users/NervanaSystems/gists{/gist_id}","starred_url":"https://api.github.com/users/NervanaSystems/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/NervanaSystems/subscriptions","organizations_url":"https://api.github.com/users/NervanaSystems/orgs","repos_url":"https://api.github.com/users/NervanaSystems/repos","events_url":"https://api.github.com/users/NervanaSystems/events{/privacy}","received_events_url":"https://api.github.com/users/NervanaSystems/received_events","type":"Organization","site_admin":false},"private":false,"html_url":"https://github.com/NervanaSystems/ngraph","description":"nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks","fork":false,"url":"https://api.github.com/repos/NervanaSystems/ngraph","forks_url":"https://api.github.com/repos/NervanaSystems/ngraph/forks","keys_url":"https://api.github.com/repos/NervanaSystems/ngraph/keys{/key_id}","collaborators_url":"https://api.github.com/repos/NervanaSystems/ngraph/collaborators{/collaborator}","teams_url":"https://api.github.com/repos/NervanaSystems/ngraph/teams","hooks_url":"https://api.github.com/repos/NervanaSystems/ngraph/hooks","issue_events_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/events{/number}","events_url":"https://api.github.com/repos/NervanaSystems/ngraph/events","assignees_url":"https://api.github.com/repos/NervanaSystems/ngraph/assignees{/user}","branches_url":"https://api.github.com/repos/NervanaSystems/ngraph/branches{/branch}","tags_url":"https://api.github.com/repos/NervanaSystems/ngraph/tags","blobs_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/blobs{/sha}","git_tags_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/tags{/sha}","git_refs_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/refs{/sha}","trees_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/trees{/sha}","statuses_url":"https://api.github.com/repos/NervanaSystems/ngraph/statuses/{sha}","languages_url":"https://api.github.com/repos/NervanaSystems/ngraph/languages","stargazers_url":"https://api.github.com/repos/NervanaSystems/ngraph/stargazers","contributors_url":"https://api.github.com/repos/NervanaSystems/ngraph/contributors","subscribers_url":"https://api.github.com/repos/NervanaSystems/ngraph/subscribers","subscription_url":"https://api.github.com/repos/NervanaSystems/ngraph/subscription","commits_url":"https://api.github.com/repos/NervanaSystems/ngraph/commits{/sha}","git_commits_url":"https://api.github.com/repos/NervanaSystems/ngraph/git/commits{/sha}","comments_url":"https://api.github.com/repos/NervanaSystems/ngraph/comments{/number}","issue_comment_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/comments{/number}","contents_url":"https://api.github.com/repos/NervanaSystems/ngraph/contents/{+path}","compare_url":"https://api.github.com/repos/NervanaSystems/ngraph/compare/{base}...{head}","merges_url":"https://api.github.com/repos/NervanaSystems/ngraph/merges","archive_url":"https://api.github.com/repos/NervanaSystems/ngraph/{archive_format}{/ref}","downloads_url":"https://api.github.com/repos/NervanaSystems/ngraph/downloads","issues_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues{/number}","pulls_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls{/number}","milestones_url":"https://api.github.com/repos/NervanaSystems/ngraph/milestones{/number}","notifications_url":"https://api.github.com/repos/NervanaSystems/ngraph/notifications{?since,all,participating}","labels_url":"https://api.github.com/repos/NervanaSystems/ngraph/labels{/name}","releases_url":"https://api.github.com/repos/NervanaSystems/ngraph/releases{/id}","deployments_url":"https://api.github.com/repos/NervanaSystems/ngraph/deployments","created_at":"2017-07-25T02:02:38Z","updated_at":"2018-04-26T23:59:21Z","pushed_at":"2018-04-27T00:28:51Z","git_url":"git://github.com/NervanaSystems/ngraph.git","ssh_url":"git@github.com:NervanaSystems/ngraph.git","clone_url":"https://github.com/NervanaSystems/ngraph.git","svn_url":"https://github.com/NervanaSystems/ngraph","homepage":"http://ngraph.nervanasys.com/docs/latest","size":28643,"stargazers_count":399,"watchers_count":399,"language":"C++","has_issues":true,"has_projects":true,"has_downloads":true,"has_wiki":true,"has_pages":false,"forks_count":38,"mirror_url":null,"archived":false,"open_issues_count":24,"license":{"key":"apache-2.0","name":"Apache License 2.0","spdx_id":"Apache-2.0","url":"https://api.github.com/licenses/apache-2.0"},"forks":38,"open_issues":24,"watchers":399,"default_branch":"master"}},"_links":{"self":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900"},"html":{"href":"https://github.com/NervanaSystems/ngraph/pull/900"},"issue":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/issues/900"},"comments":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/issues/900/comments"},"review_comments":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900/comments"},"review_comment":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments{/number}"},"commits":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/900/commits"},"statuses":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/statuses/a06a573788ddaa80a5a08d5554fb97e19a2fbf57"}},"author_association":"CONTRIBUTOR"}}
{"actor":{"display_login":"Krovatkin"}}