| /* Copyright 2016 The TensorFlow Authors All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include "tensorflow/core/profiler/internal/tfprof_stats.h" |
| |
| #include <utility> |
| |
| #include "tensorflow/core/lib/io/path.h" |
| #include "tensorflow/core/platform/env.h" |
| #include "tensorflow/core/platform/test.h" |
| #include "tensorflow/core/profiler/internal/tfprof_constants.h" |
| #include "tensorflow/core/profiler/internal/tfprof_utils.h" |
| #include "tensorflow/core/profiler/tfprof_log.pb.h" |
| #include "tensorflow/core/profiler/tfprof_options.h" |
| #include "tensorflow/core/profiler/tfprof_output.pb.h" |
| |
| namespace tensorflow { |
| namespace tfprof { |
| class TFProfStatsTest : public ::testing::Test { |
| protected: |
| TFProfStatsTest() { |
| string graph_path = |
| io::JoinPath(testing::TensorFlowSrcRoot(), |
| "core/profiler/internal/testdata/graph.pbtxt"); |
| std::unique_ptr<tensorflow::GraphDef> graph_pb(new tensorflow::GraphDef()); |
| TF_CHECK_OK( |
| ReadProtoFile(Env::Default(), graph_path, graph_pb.get(), false)); |
| |
| std::unique_ptr<tensorflow::RunMetadata> run_meta_pb( |
| new tensorflow::RunMetadata()); |
| string run_meta_path = |
| io::JoinPath(testing::TensorFlowSrcRoot(), |
| "core/profiler/internal/testdata/run_meta"); |
| TF_CHECK_OK( |
| ReadProtoFile(Env::Default(), run_meta_path, run_meta_pb.get(), true)); |
| |
| std::unique_ptr<OpLogProto> op_log_pb(new OpLogProto()); |
| string op_log_path = |
| io::JoinPath(testing::TensorFlowSrcRoot(), |
| "core/profiler/internal/testdata/tfprof_log"); |
| TF_CHECK_OK(ReadBinaryProto(Env::Default(), op_log_path, op_log_pb.get())); |
| |
| string ckpt_path = io::JoinPath(testing::TensorFlowSrcRoot(), |
| "core/profiler/internal/testdata/ckpt"); |
| TF_Status* status = TF_NewStatus(); |
| std::unique_ptr<checkpoint::CheckpointReader> ckpt_reader( |
| new checkpoint::CheckpointReader(ckpt_path, status)); |
| CHECK(TF_GetCode(status) == TF_OK); |
| TF_DeleteStatus(status); |
| |
| tf_stats_.reset(new TFStats(std::move(graph_pb), std::move(run_meta_pb), |
| std::move(op_log_pb), std::move(ckpt_reader))); |
| tf_stats_->BuildAllViews(); |
| } |
| |
| string TestToFromProto(const string& cmd, const Options& opts) { |
| string profile_file = io::JoinPath(testing::TmpDir(), "profile"); |
| tf_stats_->WriteProfile(profile_file); |
| TFStats new_stats(profile_file, nullptr); |
| new_stats.BuildAllViews(); |
| return new_stats.ShowGraphNode(cmd, opts).DebugString(); |
| } |
| |
| std::unique_ptr<TFStats> tf_stats_; |
| }; |
| |
| TEST_F(TFProfStatsTest, CustomOpType) { |
| Options opts(3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, "name", |
| {kTrainableVarType}, // accout_type_regexes |
| {".*"}, {""}, {".*"}, {""}, false, |
| {"params", "bytes", "micros", "float_ops"}, "", {}); |
| const GraphNodeProto& root = tf_stats_->ShowGraphNode("scope", opts); |
| |
| GraphNodeProto expected; |
| CHECK(protobuf::TextFormat::ParseFromString( |
| "name: \"_TFProfRoot\"\ntotal_exec_micros: 13\ntotal_requested_bytes: " |
| "2560\ntotal_parameters: 451\nchildren {\n name: \"DW\"\n exec_micros: " |
| "2\n requested_bytes: 1280\n parameters: 162\n total_exec_micros: 2\n " |
| " total_requested_bytes: 1280\n total_parameters: 162\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n cpu_exec_micros: 2\n " |
| "total_cpu_exec_micros: 2\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 1280\n residual_bytes: 1280\n " |
| " output_bytes: 1280\n total_peak_bytes: 1280\n total_residual_bytes: " |
| "1280\n total_output_bytes: 1280\n}\nchildren {\n name: \"DW2\"\n " |
| "exec_micros: 11\n requested_bytes: 1280\n parameters: 288\n " |
| "total_exec_micros: 11\n total_requested_bytes: 1280\n " |
| "total_parameters: 288\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n cpu_exec_micros: 11\n " |
| "total_cpu_exec_micros: 11\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 1280\n residual_bytes: 1280\n " |
| " output_bytes: 1280\n total_peak_bytes: 1280\n total_residual_bytes: " |
| "1280\n total_output_bytes: 1280\n}\nchildren {\n name: \"ScalarW\"\n " |
| "parameters: 1\n total_parameters: 1\n total_definition_count: " |
| "1\n}\ntotal_cpu_exec_micros: 13\ntotal_run_count: " |
| "2\ntotal_definition_count: 3\ntotal_peak_bytes: " |
| "2560\ntotal_residual_bytes: 2560\ntotal_output_bytes: 2560\n", |
| &expected)); |
| EXPECT_EQ(expected.DebugString(), root.DebugString()); |
| |
| EXPECT_EQ(root.DebugString(), TestToFromProto("scope", opts)); |
| } |
| |
| TEST_F(TFProfStatsTest, CheckPointOpType) { |
| Options opts(3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, "name", |
| {kCkptVarType}, // accout_type_regexes |
| {".*"}, {""}, {".*"}, {""}, false, |
| {"params", "bytes", "micros", "float_ops"}, "", {}); |
| const GraphNodeProto& root = tf_stats_->ShowGraphNode("scope", opts); |
| |
| GraphNodeProto expected; |
| CHECK(protobuf::TextFormat::ParseFromString( |
| "name: \"_TFProfRoot\"\ntotal_exec_micros: 13\ntotal_requested_bytes: " |
| "2560\ntotal_parameters: 451\nchildren {\n name: \"DW\"\n exec_micros: " |
| "2\n requested_bytes: 1280\n parameters: 162\n total_exec_micros: 2\n " |
| " total_requested_bytes: 1280\n total_parameters: 162\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n cpu_exec_micros: 2\n " |
| "total_cpu_exec_micros: 2\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 1280\n residual_bytes: 1280\n " |
| " output_bytes: 1280\n total_peak_bytes: 1280\n total_residual_bytes: " |
| "1280\n total_output_bytes: 1280\n}\nchildren {\n name: \"DW2\"\n " |
| "exec_micros: 11\n requested_bytes: 1280\n parameters: 288\n " |
| "total_exec_micros: 11\n total_requested_bytes: 1280\n " |
| "total_parameters: 288\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n cpu_exec_micros: 11\n " |
| "total_cpu_exec_micros: 11\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 1280\n residual_bytes: 1280\n " |
| " output_bytes: 1280\n total_peak_bytes: 1280\n total_residual_bytes: " |
| "1280\n total_output_bytes: 1280\n}\nchildren {\n name: \"ScalarW\"\n " |
| "parameters: 1\n total_parameters: 1\n total_definition_count: " |
| "1\n}\ntotal_cpu_exec_micros: 13\ntotal_run_count: " |
| "2\ntotal_definition_count: 3\ntotal_peak_bytes: " |
| "2560\ntotal_residual_bytes: 2560\ntotal_output_bytes: 2560\n", |
| &expected)); |
| EXPECT_EQ(expected.DebugString(), root.DebugString()); |
| |
| EXPECT_EQ(root.DebugString(), TestToFromProto("scope", opts)); |
| } |
| |
| TEST_F(TFProfStatsTest, TestGraph) { |
| Options opts(100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, "name", {".*"}, |
| {"DW/Initializer/random_normal/mul"}, // start_name_regexes |
| {""}, {".*"}, {""}, false, |
| {"params", "bytes", "micros", "float_ops"}, "", {}); |
| const GraphNodeProto& root = tf_stats_->ShowGraphNode("graph", opts); |
| |
| GraphNodeProto expected; |
| CHECK(protobuf::TextFormat::ParseFromString( |
| "name: \"_TFProfRoot\"\ntotal_exec_micros: 4945\ntotal_requested_bytes: " |
| "30464\ntotal_parameters: 451\nchildren {\n name: " |
| "\"DW/Initializer/random_normal/mul\"\n children {\n name: " |
| "\"DW/Initializer/random_normal/RandomStandardNormal\"\n children {\n " |
| " name: \"DW/Initializer/random_normal/shape\"\n " |
| "total_definition_count: 1\n }\n input_shapes {\n key: 0\n " |
| " value {\n dim {\n size: 4\n }\n }\n " |
| "}\n total_definition_count: 2\n }\n children {\n name: " |
| "\"DW/Initializer/random_normal/stddev\"\n total_definition_count: " |
| "1\n }\n input_shapes {\n key: 0\n value {\n dim {\n " |
| "size: 3\n }\n dim {\n size: 3\n }\n dim {\n " |
| " size: 3\n }\n dim {\n size: 6\n }\n }\n " |
| "}\n input_shapes {\n key: 1\n value {\n dim {\n " |
| "size: 1\n }\n }\n }\n total_definition_count: " |
| "4\n}\ntotal_float_ops: 10440\ntotal_accelerator_exec_micros: " |
| "404\ntotal_cpu_exec_micros: 4541\ntotal_run_count: " |
| "6\ntotal_definition_count: 32\ntotal_peak_bytes: " |
| "25856\ntotal_residual_bytes: 3840\ntotal_output_bytes: 4864\n", |
| &expected)); |
| EXPECT_EQ(expected.DebugString(), root.DebugString()); |
| |
| EXPECT_EQ(root.DebugString(), TestToFromProto("graph", opts)); |
| } |
| |
| TEST_F(TFProfStatsTest, TestFloatOps) { |
| Options opts(10, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -1, "name", {".*"}, {".*"}, |
| {""}, {".*"}, {""}, false, {"float_ops"}, "", {}); |
| const GraphNodeProto& root = tf_stats_->ShowGraphNode("scope", opts); |
| |
| GraphNodeProto expected; |
| CHECK(protobuf::TextFormat::ParseFromString( |
| "name: \"_TFProfRoot\"\ntotal_exec_micros: 4945\ntotal_requested_bytes: " |
| "30464\ntotal_parameters: 451\nchildren {\n name: \"Conv2D\"\n " |
| "exec_micros: 4292\n requested_bytes: 18176\n total_exec_micros: " |
| "4292\n total_requested_bytes: 18176\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n float_ops: 5832\n " |
| "total_float_ops: 5832\n input_shapes {\n key: 0\n value {\n " |
| "dim {\n size: 2\n }\n dim {\n size: 6\n " |
| "}\n dim {\n size: 6\n }\n dim {\n size: " |
| "3\n }\n }\n }\n input_shapes {\n key: 1\n value {\n " |
| " dim {\n size: 3\n }\n dim {\n size: 3\n " |
| "}\n dim {\n size: 3\n }\n dim {\n size: " |
| "6\n }\n }\n }\n accelerator_exec_micros: 226\n " |
| "cpu_exec_micros: 4066\n total_accelerator_exec_micros: 226\n " |
| "total_cpu_exec_micros: 4066\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 14592\n residual_bytes: 768\n " |
| " output_bytes: 768\n total_peak_bytes: 14592\n total_residual_bytes: " |
| "768\n total_output_bytes: 768\n}\nchildren {\n name: \"Conv2D_1\"\n " |
| "exec_micros: 597\n requested_bytes: 9728\n total_exec_micros: 597\n " |
| "total_requested_bytes: 9728\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n float_ops: 4608\n " |
| "total_float_ops: 4608\n input_shapes {\n key: 0\n value {\n " |
| "dim {\n size: 2\n }\n dim {\n size: 3\n " |
| "}\n dim {\n size: 3\n }\n dim {\n size: " |
| "6\n }\n }\n }\n input_shapes {\n key: 1\n value {\n " |
| " dim {\n size: 2\n }\n dim {\n size: 2\n " |
| "}\n dim {\n size: 6\n }\n dim {\n size: " |
| "12\n }\n }\n }\n accelerator_exec_micros: 178\n " |
| "cpu_exec_micros: 419\n total_accelerator_exec_micros: 178\n " |
| "total_cpu_exec_micros: 419\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 8704\n residual_bytes: 512\n " |
| "output_bytes: 512\n total_peak_bytes: 8704\n total_residual_bytes: " |
| "512\n total_output_bytes: 512\n}\ntotal_float_ops: " |
| "10440\ntotal_accelerator_exec_micros: 404\ntotal_cpu_exec_micros: " |
| "4541\ntotal_run_count: 6\ntotal_definition_count: 35\ntotal_peak_bytes: " |
| "25856\ntotal_residual_bytes: 3840\ntotal_output_bytes: 4864\n", |
| &expected)); |
| EXPECT_EQ(expected.DebugString(), root.DebugString()); |
| |
| EXPECT_EQ(root.DebugString(), TestToFromProto("scope", opts)); |
| } |
| |
| TEST_F(TFProfStatsTest, TestAccountShownNameOnly) { |
| Options opts(100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, "name", {".*"}, {".*"}, |
| {""}, {"Conv2D_1"}, // show_name_regexes. |
| {""}, true, // account_displayed_op_only. |
| {"params"}, "", {}); |
| const GraphNodeProto& root = tf_stats_->ShowGraphNode("scope", opts); |
| |
| GraphNodeProto expected; |
| CHECK(protobuf::TextFormat::ParseFromString( |
| "name: \"_TFProfRoot\"\ntotal_exec_micros: 597\ntotal_requested_bytes: " |
| "9728\nchildren {\n name: \"Conv2D_1\"\n exec_micros: 597\n " |
| "requested_bytes: 9728\n total_exec_micros: 597\n " |
| "total_requested_bytes: 9728\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n float_ops: 4608\n " |
| "total_float_ops: 4608\n input_shapes {\n key: 0\n value {\n " |
| "dim {\n size: 2\n }\n dim {\n size: 3\n " |
| "}\n dim {\n size: 3\n }\n dim {\n size: " |
| "6\n }\n }\n }\n input_shapes {\n key: 1\n value {\n " |
| " dim {\n size: 2\n }\n dim {\n size: 2\n " |
| "}\n dim {\n size: 6\n }\n dim {\n size: " |
| "12\n }\n }\n }\n accelerator_exec_micros: 178\n " |
| "cpu_exec_micros: 419\n total_accelerator_exec_micros: 178\n " |
| "total_cpu_exec_micros: 419\n run_count: 1\n total_run_count: 1\n " |
| "total_definition_count: 1\n peak_bytes: 8704\n residual_bytes: 512\n " |
| "output_bytes: 512\n total_peak_bytes: 8704\n total_residual_bytes: " |
| "512\n total_output_bytes: 512\n}\ntotal_float_ops: " |
| "4608\ntotal_accelerator_exec_micros: 178\ntotal_cpu_exec_micros: " |
| "419\ntotal_run_count: 1\ntotal_definition_count: 2\ntotal_peak_bytes: " |
| "8704\ntotal_residual_bytes: 512\ntotal_output_bytes: 512\n", |
| &expected)); |
| EXPECT_EQ(expected.DebugString(), root.DebugString()); |
| |
| EXPECT_EQ(root.DebugString(), TestToFromProto("scope", opts)); |
| } |
| |
| TEST_F(TFProfStatsTest, TestShowTensorValue) { |
| Options opts(10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, "name", {".*"}, {".*"}, |
| {""}, {"DW"}, {""}, false, |
| {"tensor_value"}, // Show tensor value from checkpoint. |
| "", {}); |
| const GraphNodeProto& root = tf_stats_->ShowGraphNode("scope", opts); |
| GraphNodeProto expected; |
| CHECK(protobuf::TextFormat::ParseFromString( |
| "name: \"_TFProfRoot\"\ntotal_exec_micros: 4945\ntotal_requested_bytes: " |
| "30464\ntotal_parameters: 451\nchildren {\n name: \"DW\"\n " |
| "exec_micros: 2\n requested_bytes: 1280\n parameters: 162\n " |
| "total_exec_micros: 2\n total_requested_bytes: 1280\n " |
| "total_parameters: 162\n devices: " |
| "\"/job:localhost/replica:0/task:0/gpu:0\"\n tensor_value {\n dtype: " |
| "DT_FLOAT\n value_double: -0.000534315\n value_double: " |
| "-0.00089602\n value_double: -0.000417239\n value_double: " |
| "0.00041444\n value_double: 0.000780691\n value_double: " |
| "-0.000559057\n value_double: -0.000234623\n value_double: " |
| "0.00013393\n value_double: -0.00187574\n value_double: " |
| "0.000785666\n value_double: 0.000673294\n value_double: " |
| "0.000653368\n value_double: 0.000924489\n value_double: " |
| "-0.000318373\n value_double: -0.000385202\n value_double: " |
| "-7.92661e-05\n value_double: 2.70287e-05\n value_double: " |
| "0.00152302\n value_double: 8.04435e-05\n value_double: " |
| "-0.00058102\n value_double: 0.000244291\n value_double: " |
| "-0.000438045\n value_double: -0.000110199\n value_double: " |
| "0.000731663\n value_double: -0.0012326\n value_double: " |
| "0.00064065\n value_double: -0.00135203\n value_double: " |
| "-6.42784e-05\n value_double: -0.0011857\n value_double: " |
| "-0.000487383\n value_double: 3.41493e-05\n value_double: " |
| "-0.00158447\n value_double: 0.00168448\n value_double: " |
| "0.00160946\n value_double: -0.000600483\n value_double: " |
| "0.000650259\n value_double: -0.00109938\n value_double: " |
| "-0.000842166\n value_double: -0.0022673\n value_double: " |
| "-0.00101941\n value_double: -0.0011169\n value_double: " |
| "-0.0013557\n value_double: -1.46354e-05\n value_double: " |
| "-1.05487e-05\n value_double: -0.00092014\n value_double: " |
| "0.00272874\n value_double: 5.13942e-05\n value_double: " |
| "-0.00223472\n value_double: -0.000250875\n value_double: " |
| "-0.00180747\n value_double: -0.00234714\n value_double: " |
| "-0.00113523\n value_double: -0.00112635\n value_double: " |
| "-0.000843118\n value_double: -6.84256e-05\n value_double: " |
| "0.000243336\n value_double: 0.00119151\n value_double: " |
| "0.00131022\n value_double: 0.000768038\n value_double: " |
| "-8.90095e-05\n value_double: -0.000626427\n value_double: " |
| "-7.0617e-05\n value_double: -0.0021988\n value_double: " |
| "-0.00221544\n value_double: -0.000393118\n value_double: " |
| "0.000159464\n value_double: -0.000874746\n value_double: " |
| "-0.00131239\n value_double: -0.00135747\n value_double: " |
| "-0.00179753\n value_double: -0.00101005\n value_double: " |
| "-0.000107518\n value_double: -0.000616882\n value_double: " |
| "-0.000360923\n value_double: -0.00026896\n value_double: " |
| "-0.000142548\n value_double: 0.000577227\n value_double: " |
| "0.000536027\n value_double: 0.00126907\n value_double: " |
| "-0.00122712\n value_double: -3.60499e-05\n value_double: " |
| "0.000151026\n value_double: 0.00107658\n value_double: " |
| "0.00116475\n value_double: -0.00145312\n value_double: " |
| "0.000233326\n value_double: -0.00020198\n value_double: " |
| "0.00179029\n value_double: 0.00150048\n value_double: " |
| "-0.000884775\n value_double: 0.000409188\n value_double: " |
| "2.97176e-05\n value_double: -0.000506118\n value_double: " |
| "-2.33992e-05\n value_double: -0.00037212\n value_double: " |
| "0.000862773\n value_double: 0.00174046\n value_double: " |
| "-0.000240207\n value_double: 0.000663976\n value_double: " |
| "-0.00134747\n value_double: 0.00115585\n value_double: " |
| "0.000555869\n value_double: 0.00176722\n value_double: " |
| "-0.000518409\n value_double: 0.00101051\n value_double: " |
| "0.000129399\n value_double: -0.000916389\n value_double: " |
| "-0.00137693\n value_double: -0.00152412\n value_double: " |
| "7.32515e-05\n value_double: -0.000190811\n value_double: " |
| "-0.000158692\n value_double: -5.7791e-05\n value_double: " |
| "0.000671785\n value_double: -0.00152924\n value_double: " |
| "0.00117314\n value_double: -0.000384202\n value_double: " |
| "0.00176709\n value_double: -0.000181703\n value_double: " |
| "-0.000460994\n value_double: 0.000643716\n value_double: " |
| "4.76719e-05\n value_double: -0.00101037\n value_double: " |
| "0.00159621\n value_double: 0.00186758\n value_double: " |
| "0.00100001\n value_double: -0.00121831\n value_double: " |
| "0.00132231\n value_double: 0.0013511\n value_double: 0.00106659\n " |
| " value_double: 0.00018091\n value_double: 0.00155925\n " |
| "value_double: 4.26087e-05\n value_double: 0.000243264\n " |
| "value_double: -0.0017202\n value_double: -0.000218897\n " |
| "value_double: 0.00118693\n value_double: 0.00258909\n " |
| "value_double: 0.000641913\n value_double: -0.0013211\n " |
| "value_double: -0.00171943\n value_double: 0.00089151\n " |
| "value_double: -0.00114969\n value_double: -0.000196331\n " |
| "value_double: 0.00109994\n value_double: 0.000302616\n " |
| "value_double: 0.000675812\n value_double: 0.00112222\n " |
| "value_double: 0.000516456\n value_double: 0.00133357\n " |
| "value_double: 0.000298491\n value_double: 0.00145934\n " |
| "value_double: -0.00159102\n value_double: -0.000819061\n " |
| "value_double: 0.000120583\n value_double: 0.0006108\n " |
| "value_double: 0.00124132\n value_double: 0.000764859\n " |
| "value_double: 0.000374641\n value_double: -0.00149603\n " |
| "value_double: -0.000317367\n value_double: -0.000417829\n }\n " |
| "cpu_exec_micros: 2\n total_cpu_exec_micros: 2\n run_count: 1\n " |
| "total_run_count: 1\n total_definition_count: 10\n peak_bytes: 1280\n " |
| "residual_bytes: 1280\n output_bytes: 1280\n total_peak_bytes: 1280\n " |
| "total_residual_bytes: 1280\n total_output_bytes: " |
| "1280\n}\ntotal_float_ops: 10440\ntotal_accelerator_exec_micros: " |
| "404\ntotal_cpu_exec_micros: 4541\ntotal_run_count: " |
| "6\ntotal_definition_count: 35\ntotal_peak_bytes: " |
| "25856\ntotal_residual_bytes: 3840\ntotal_output_bytes: 4864\n", |
| &expected)); |
| EXPECT_EQ(expected.DebugString(), root.DebugString()); |
| } |
| |
| } // namespace tfprof |
| } // namespace tensorflow |
