manupa-arm commented on a change in pull request #9704:
URL: https://github.com/apache/tvm/pull/9704#discussion_r768598115



##########
File path: src/tir/usmp/algo/hill_climb.cc
##########
@@ -0,0 +1,356 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you 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.
+ */
+
+/*!
+ * \file tir/analysis/usmp/algo/greedy_by_size.cc
+ * \brief Implement greedy by size memory planning algorithm
+ */
+#include <tvm/arith/analyzer.h>
+#include <tvm/runtime/device_api.h>
+#include <tvm/tir/builtin.h>
+#include <tvm/tir/function.h>
+#include <tvm/tir/stmt_functor.h>
+#include <tvm/tir/usmp/utils.h>
+
+#include <algorithm>
+#include <numeric>
+#include <sstream>
+
+namespace tvm {
+namespace tir {
+namespace usmp {
+namespace algo {
+/*!
+ * \brief Rounds up the offset to satisfy the alignement requirement
+ */
+static size_t round_up_to_byte_alignment(const size_t& non_aligned_byte_offset,
+                                         const int& byte_alignment) {
+  return ((non_aligned_byte_offset + byte_alignment - 1) / byte_alignment) * 
byte_alignment;
+}
+
+/*!
+ * \brief A helper function check whether a offset is valid given the 
constraints
+ */
+static bool IsValidPlacement(const PoolInfo& candidate_pool, const size_t& 
next_offset,
+                             const size_t& size_bytes) {
+  if (candidate_pool->size_hint_bytes == -1) {
+    // this means pool is not bounded
+    return true;
+  }
+  auto pool_size = static_cast<size_t>(candidate_pool->size_hint_bytes->value);
+  auto max_address = next_offset + size_bytes;
+  if (max_address <= pool_size) {
+    return true;
+  }
+  return false;
+}
+
+/*!
+ * \brief Selects a pool for placement in the given set of ordered pool 
candidates
+ */
+static PoolInfo SelectPlacementPool(
+    const BufferInfo& buf_info,
+    const std::unordered_map<PoolInfo, size_t, ObjectPtrHash, ObjectPtrEqual>& 
pool_offsets) {
+  // Here the pool candidates are ordered when it is consumed by the algorithm.
+  // This could be from order the user has specified. However, schedulers are
+  // welcome to change the order for performance reasons.
+  for (const auto& pool_info : buf_info->pool_candidates) {
+    if (pool_offsets.count(pool_info)) {
+      return pool_info;
+    }
+  }
+  CHECK(false) << "TVM USMP Error: the space available in the provided pools 
exceeded when "
+                  "trying to allocate the buffer : "
+               << buf_info << "\n. Please increase the size_hints for memory 
pools.";
+  return PoolInfo();
+}
+
+struct _ptr_hash {
+  template <typename T>
+  size_t operator()(const T& a) const {
+    return std::hash<T>()(a);
+  }
+};
+
+using alloc_map_t = std::unordered_map<const BufferInfoNode*, PoolAllocation, 
_ptr_hash>;
+
+static void sort_vector(std::vector<BufferInfo>* buffer_info_vec) {
+  std::sort(buffer_info_vec->begin(), buffer_info_vec->end(),
+            [](const BufferInfo& a, const BufferInfo& b) {
+              if (a->size_bytes->value == b->size_bytes->value) {
+                if (a->conflicts.size() == b->conflicts.size()) {
+                  auto a_name_hash = 
std::hash<std::string>{}(a->name_hint->data);
+                  auto b_name_hash = 
std::hash<std::string>{}(b->name_hint->data);
+                  return a_name_hash > b_name_hash;
+                } else {
+                  return a->conflicts.size() > b->conflicts.size();
+                }
+              }
+              return a->size_bytes->value > b->size_bytes->value;
+            });
+}
+
+/*
+ * Modified version of greedy allocation from greedy_by_size.cc
+ */
+static void greedy(std::vector<BufferInfo>* buffer_info_vec, alloc_map_t* 
pool_allocations) {
+  for (const auto& buf_info : *buffer_info_vec) {
+    std::unordered_map<PoolInfo, size_t, ObjectPtrHash, ObjectPtrEqual> 
pool_offset_candidates;
+    for (const auto& pool_info : buf_info->pool_candidates) {
+      if (algo::IsValidPlacement(pool_info, 0, buf_info->size_bytes->value)) {
+        pool_offset_candidates[pool_info] = 0;
+      }
+    }
+
+    std::vector<const BufferInfoNode*> buf_conf;
+    for (const auto& conflict_buf_info_obj : buf_info->conflicts) {
+      const BufferInfoNode* conflict_buf_info = 
conflict_buf_info_obj.as<BufferInfoNode>();
+      if (pool_allocations->end() != 
pool_allocations->find(conflict_buf_info)) {
+        buf_conf.push_back(conflict_buf_info);
+      }
+    }
+
+    // extra sorting for pool offsets
+    std::sort(buf_conf.begin(), buf_conf.end(), [&pool_allocations](const 
auto* a, const auto* b) {
+      return pool_allocations->operator[](a)->byte_offset->value <
+             pool_allocations->operator[](b)->byte_offset->value;
+    });
+
+    for (const auto* conflict_buf_info : buf_conf) {
+      size_t next_offset = 0;
+      auto pool_allocation = pool_allocations->operator[](conflict_buf_info);
+      next_offset = pool_allocation->byte_offset + 
conflict_buf_info->size_bytes;
+      next_offset = round_up_to_byte_alignment(next_offset, 
conflict_buf_info->alignment->value);
+      if (!pool_offset_candidates.count(pool_allocation->pool_info)) {
+        continue;
+      }
+      if (IsValidPlacement(pool_allocation->pool_info, next_offset, 
buf_info->size_bytes->value)) {
+        if (next_offset > pool_offset_candidates[pool_allocation->pool_info] &&
+            pool_offset_candidates[pool_allocation->pool_info] +
+                    static_cast<size_t>(buf_info->size_bytes) >
+                static_cast<size_t>(pool_allocation->byte_offset)) {
+          pool_offset_candidates[pool_allocation->pool_info] = next_offset;
+        }
+      } else {
+        pool_offset_candidates.erase(pool_allocation->pool_info);
+      }
+    }
+    auto selected_pool = algo::SelectPlacementPool(buf_info, 
pool_offset_candidates);
+    pool_allocations->operator[](buf_info.as<BufferInfoNode>()) =
+        PoolAllocation(selected_pool, 
Integer(pool_offset_candidates[selected_pool]));
+  }
+}
+
+/*
+ * Finds highes allocated memory address for each pool
+ */
+static std::unordered_map<PoolInfo, size_t, ObjectPtrHash, ObjectPtrEqual> 
find_highest(
+    alloc_map_t* pool_allocations) {
+  std::unordered_map<PoolInfo, size_t, ObjectPtrHash, ObjectPtrEqual> 
max_pool_size;
+  for (const auto it : *pool_allocations) {
+    const BufferInfoNode* buf = it.first;
+    const PoolAllocation& pa = it.second;
+    size_t high_sz = pa->byte_offset + buf->size_bytes;
+    if (max_pool_size[pa->pool_info] <= high_sz) {
+      max_pool_size[pa->pool_info] = high_sz;
+    }
+  }
+  return max_pool_size;
+}
+
+/*
+ * Simulated annealing / Hill climb
+ *
+ * Works by continiously invoking modified 'greedy-by-size' allocation
+ * assessing the result and introduce permutations which hopefully
+ * will led to more 'compact' memory allocation.
+ */
+Map<BufferInfo, PoolAllocation> HillClimb(const Array<BufferInfo>& 
buffer_info_arr,
+                                          const Integer& desired_bytes) {
+// rand_r does not exist on Windows platform
+#if defined(__linux__) || defined(__ANDROID__)
+  unsigned int _seedp = 0;
+#define rnd_func() rand_r(&_seedp)
+#else
+#define rnd_func() rand()

Review comment:
       I dont think it is meaningful to exposing the seed for random number 
generator to user.
   Can we fix this with a seed for now ? We'll revisit if and when we want to 
expose this to the user.
   
   Also, we need a test case with same sized BufferInfo object with same number 
of conflicts and that runs for several rounds as a stability/deterministic run 
check for the algorithm.
   
   Reference : 
https://github.com/apache/tvm/blob/af869bc79cecdc18371862524ea241803dc78c7a/tests/python/unittest/test_tir_usmp_algo.py#L126-L158.




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