{"action":"created","comment":{"url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments/222792327","pull_request_review_id":161765846,"id":222792327,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIyMjc5MjMyNw==","diff_hunk":"@@ -1403,6 +1403,69 @@ size_t runtime::gpu::CUDNNEmitter::build_batchnorm(const cudnnBatchNormMode_t& b\n     return this->m_primitive_emitter->register_primitive(batchnorm, hash);\n }\n \n+size_t runtime::gpu::CUDNNEmitter::build_lrn(const cudnnLRNMode_t& lrn_op,\n+                                             const std::string& dtype,\n+                                             const Prop& direction,\n+                                             const Shape& input_shape,\n+                                             const Shape& output_shape,\n+                                             const double lrn_alpha,\n+                                             const double lrn_beta,\n+                                             const double lrn_bias,\n+                                             const size_t lrn_size)\n+{\n+    // construct hash to determine if kernel needs to be emitted\n+    // or if it already exists in the primitive list\n+    std::stringstream ss;\n+    ss << \"lrn_op_\" << lrn_op << \"_dtype_\" << dtype << \"_dir\" << static_cast<int>(direction) << \"_i\"\n+       << join(input_shape, \"_\") << \"_o\" << join(output_shape, \"_\");\n+    std::string hash = ss.str();\n+\n+    // check if the requested kernel is already an inserted primitive\n+    size_t primitive_index = m_primitive_emitter->lookup(hash);\n+    if (primitive_index != std::numeric_limits<size_t>::max())\n+    {\n+        return primitive_index;\n+    }\n+\n+    cudnnDataType_t data_type = get_cudnn_datatype(dtype);\n+    cudnnTensorFormat_t tensor_format = CUDNN_TENSOR_NCHW;\n+    auto& input_desc = tensor_descriptor_from_shape(input_shape, data_type, tensor_format);\n+    auto& output_desc = tensor_descriptor_from_shape(output_shape, data_type, tensor_format);\n+\n+    auto& lrn_descriptor = m_descriptors.build<cudnnLRNDescriptor_t>();\n+    void* alpha = m_host_parameters.allocate_by_datatype(data_type, 1.0);\n+    void* beta = m_host_parameters.allocate_by_datatype(data_type, 0);\n+\n+    // emit lrn operation\n+    std::unique_ptr<gpu::primitive> lrn(new gpu::primitive{[&lrn_descriptor,\n+                                                            &input_desc,\n+                                                            &output_desc,\n+                                                            this,\n+                                                            lrn_op,\n+                                                            lrn_alpha,\n+                                                            lrn_beta,\n+                                                            lrn_bias,\n+                                                            lrn_size,\n+                                                            alpha,\n+                                                            beta](void** inputs, void** outputs) {\n+        CUDNN_SAFE_CALL(cudnnSetLRNDescriptor(","path":"src/ngraph/runtime/gpu/cudnn_emitter.cpp","position":49,"original_position":49,"commit_id":"ef18ed9e13ec0b5d8165eefc45e069bf78cf0ded","original_commit_id":"ef18ed9e13ec0b5d8165eefc45e069bf78cf0ded","user":{"login":"gcwenger","id":7103219,"node_id":"MDQ6VXNlcjcxMDMyMTk=","avatar_url":"https://avatars0.githubusercontent.com/u/7103219?v=4","gravatar_id":"","url":"https://api.github.com/users/gcwenger","html_url":"https://github.com/gcwenger","followers_url":"https://api.github.com/users/gcwenger/followers","following_url":"https://api.github.com/users/gcwenger/following{/other_user}","gists_url":"https://api.github.com/users/gcwenger/gists{/gist_id}","starred_url":"https://api.github.com/users/gcwenger/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gcwenger/subscriptions","organizations_url":"https://api.github.com/users/gcwenger/orgs","repos_url":"https://api.github.com/users/gcwenger/repos","events_url":"https://api.github.com/users/gcwenger/events{/privacy}","received_events_url":"https://api.github.com/users/gcwenger/received_events","type":"User","site_admin":false},"body":"I had noted mixed use of setting up inside lambda vs. not. But upon further analysis I agree I can do this ahead of time. Caching already supported by Chris's CUDNNDescriptors.","created_at":"2018-10-04T19:06:01Z","updated_at":"2018-10-04T19:06:02Z","html_url":"https://github.com/NervanaSystems/ngraph/pull/1740#discussion_r222792327","pull_request_url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/1740","author_association":"NONE","_links":{"self":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/comments/222792327"},"html":{"href":"https://github.com/NervanaSystems/ngraph/pull/1740#discussion_r222792327"},"pull_request":{"href":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/1740"}},"in_reply_to_id":222751112},"pull_request":{"url":"https://api.github.com/repos/NervanaSystems/ngraph/pulls/1740","id":220149625,"node_id":"MDExOlB1bGxSZXF1ZXN0MjIwMTQ5NjI1","html_url":"https://github.com/NervanaSystems/ngraph/pull/1740","diff_url":"https://github.com/NervanaSystems/ngraph/pull/1740.diff","patch_url":"https://github.com/NervanaSystems/ngraph/pull/1740.patch","issue_url":"https://api.github.com/repos/NervanaSystems/ngraph/issues/1740","number":1740,"state":"open","locked":false,"title":"Support 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