1 files changed, 0 insertions, 164 deletions
diff --git a/tools/tflite_benchmark_model/profile_summarizer.cc b/tools/tflite_benchmark_model/profile_summarizer.cc
deleted file mode 100644
index 4d12b50af..000000000
--- a/tools/tflite_benchmark_model/profile_summarizer.cc
+++ /dev/null
@@ -1,164 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
- */
-
-/* Copyright 2018 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/contrib/lite/profiling/profile_summarizer.h"
-
-#include <sstream>
-
-#include "tensorflow/contrib/lite/schema/schema_generated.h"
-
-namespace tflite {
-namespace profiling {
-namespace {
-
-using Detail = tensorflow::StatsCalculator::Detail;
-
-struct OperatorDetails {
-  std::string name;
-  std::vector<std::string> inputs;
-  std::vector<std::string> outputs;
-};
-
-std::string GetTensorName(const tflite::Interpreter& interpreter,
-                          int tensor_index) {
-  const auto tensor = interpreter.tensor(tensor_index);
-  if (tensor == nullptr || tensor->name == nullptr) {
-    return "Unknown";
-  }
-  return tensor->name;
-}
-std::vector<std::string> GetTensorNames(const tflite::Interpreter& interpreter,
-                                        const TfLiteIntArray* tensor_indices) {
-  std::vector<std::string> tensors;
-  tensors.reserve(tensor_indices->size);
-  for (int i = 0; i < tensor_indices->size; i++) {
-    tensors.push_back(GetTensorName(interpreter, tensor_indices->data[i]));
-  }
-  return tensors;
-}
-
-std::string ToString(const std::vector<std::string>& str_vector) {
-  std::stringstream stream;
-  stream << "[";
-  bool first = true;
-  for (const auto& s : str_vector) {
-    if (!first) {
-      stream << ", ";
-    } else {
-      first = false;
-    }
-    stream << s;
-  }
-  stream << "]";
-  return stream.str();
-}
-
-OperatorDetails GetOperatorDetails(const tflite::Interpreter& interpreter,
-                                   int node_index) {
-  auto node_reg = interpreter.node_and_registration(node_index);
-  auto inputs = node_reg->first.inputs;
-  auto outputs = node_reg->first.outputs;
-  int code = node_reg->second.builtin_code;
-  const char* op_name = nullptr;
-  if (code == tflite::BuiltinOperator_CUSTOM) {
-    const char* custom_name = node_reg->second.custom_name;
-    op_name = custom_name ? custom_name : "UnknownCustomOp";
-  } else {
-    op_name = tflite::EnumNamesBuiltinOperator()[code];
-  }
-  OperatorDetails details;
-  details.name = op_name;
-  details.inputs = GetTensorNames(interpreter, inputs);
-  details.outputs = GetTensorNames(interpreter, outputs);
-  return details;
-}
-
-}  // namespace
-
-ProfileSummarizer::ProfileSummarizer()
-    : stats_calculator_(new ::tensorflow::StatsCalculator(
-          tensorflow::StatSummarizerOptions())) {}
-
-void ProfileSummarizer::ProcessProfiles(
-    const std::vector<const ProfileEvent*>& profile_stats,
-    const tflite::Interpreter& interpreter) {
-  std::vector<const ProfileEvent*> events;
-  std::copy_if(profile_stats.begin(), profile_stats.end(),
-               std::back_inserter(events), [](const ProfileEvent* e) {
-                 return e->event_type ==
-                            ProfileEvent::EventType::OPERATOR_INVOKE_EVENT &&
-                        e->end_timestamp_us >= e->begin_timestamp_us;
-               });
-  // Sort with begin_time.
-  std::sort(events.begin(), events.end(),
-            [](const ProfileEvent* const& a, const ProfileEvent* const& b) {
-              return a->begin_timestamp_us < b->begin_timestamp_us;
-            });
-  if (events.empty()) {
-    return;
-  }
-
-  int64_t base_start_us = events[0]->begin_timestamp_us;
-  int node_num = 0;
-  int64_t curr_total_us = 0;
-  std::map<std::string, Detail> details;
-  int prev_op_idx = -1;
-  int seq_no = 1;
-  for (auto event : events) {
-    auto op_details = GetOperatorDetails(interpreter, event->event_metadata);
-    bool is_continued = (prev_op_idx == event->event_metadata);
-    seq_no = is_continued ? seq_no + 1 : 1;
-    auto node_name = ToString(op_details.outputs) + "#" + std::to_string(seq_no);
-    auto result = details.emplace(node_name, Detail());
-    Detail* detail = &(result.first->second);
-    detail->start_us.UpdateStat(event->begin_timestamp_us - base_start_us);
-    int64_t node_exec_time =
-        event->end_timestamp_us - event->begin_timestamp_us;
-    detail->rel_end_us.UpdateStat(node_exec_time);
-    curr_total_us += node_exec_time;
-    ++node_num;
-
-    if (result.second) {
-      detail->name = node_name;
-      detail->type = op_details.name;
-      detail->run_order = node_num;
-      detail->times_called = 0;
-    }
-    if (!is_continued) {
-      ++detail->times_called;
-    }
-    prev_op_idx = event->event_metadata;
-  }
-  stats_calculator_->UpdateDetails(details);
-  stats_calculator_->UpdateRunTotalUs(curr_total_us);
-}
-}  // namespace profiling
-}  // namespace tflite