"...composable_kernel_onnxruntime.git" did not exist on "b9b9c3b8147572516e239c3c360a8d9f67d32dee"
flatten_buffer.cc 10.3 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
/*
 * 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 flatten_buffer.cc
 */

24
25
#include "arith/ir_mutator_with_analyzer.h"
#include "tir/transforms/ir_utils.h"
26
#include <tvm/arith/iter_affine_map.h>
27
#include <tvm/ffi/reflection/registry.h>
28
#include <tvm/tir/analysis.h>
29
#include <tvm/tir/data_type_rewriter.h>
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
#include <tvm/tir/stmt_functor.h>
#include <tvm/tir/transform.h>

namespace tvm {
namespace tl {

using namespace tir;

/*!
 * \brief Transform multi-dimension BufferLoad/BufferStore into device-supported
 * dimension for the TIR not contains opaque block.
 */
class BufferFlattener : public arith::IRMutatorWithAnalyzer {
public:
  static PrimFunc Flatten(PrimFunc func) {
    arith::Analyzer ana;
    auto pass = BufferFlattener(&ana);
    auto writer = func.CopyOnWrite();
    pass.MarkBufferMapShapes(func);
    writer->body = pass.VisitStmt(func->body);
    // The buffers in func->buffer_map are deliberately left
    // unflattened, as they are used for validation of user-provided
    // arguments.  The flattened buffers used in the updated
    // function body alias the argument buffers.
    return func;
  }

private:
  using IRMutatorWithAnalyzer::VisitExpr;
  using IRMutatorWithAnalyzer::VisitExpr_;
  using IRMutatorWithAnalyzer::VisitStmt;
  using IRMutatorWithAnalyzer::VisitStmt_;

  explicit BufferFlattener(arith::Analyzer *ana) : IRMutatorWithAnalyzer(ana) {}

  Stmt VisitStmt_(const BlockNode *op) final {
    ICHECK_EQ(op->match_buffers.size(), 0)
        << "Unexpected MatchBufferRegion found during "
           "tir.transform.FlattenBuffer.  "
        << "All MatchBufferRegion should be removed in "
           "tir.transform.LowerMatchBuffer.";

    Block block = GetRef<Block>(op);

    Array<Buffer> alloc_buffers = op->alloc_buffers;
    alloc_buffers.MutateByApply(
        [this](Buffer buf) { return GetFlattenedBuffer(buf); });
    if (!alloc_buffers.same_as(op->alloc_buffers)) {
      block.CopyOnWrite()->alloc_buffers = alloc_buffers;
    }

    Array<BufferRegion> reads = op->reads;
    reads.MutateByApply(
        [this](BufferRegion region) { return MutateBufferRegion(region); });
    if (!reads.same_as(op->reads)) {
      block.CopyOnWrite()->reads = reads;
    }

    Array<BufferRegion> writes = op->writes;
    writes.MutateByApply(
        [this](BufferRegion region) { return MutateBufferRegion(region); });
    if (!writes.same_as(op->writes)) {
      block.CopyOnWrite()->writes = writes;
    }

    return StmtExprMutator::VisitStmt_(block.get());
  }

  Stmt VisitStmt_(const AllocateNode *op) final {
    // Determine the flattened extents first, before stripping of
    // DeclBuffer.
    auto new_extents = [&]() -> Array<PrimExpr> {
      if (op->extents.size() == 1) {
        // No flattening required for buffers that are already flat
        return op->extents;
      }

      if (auto *decl_buffer = op->body.as<DeclBufferNode>()) {
        // N-d buffer, use the DeclBuffer inside to determine how it
        // should be flattened.
        auto &buffer = decl_buffer->buffer;
        bool matching_buffer = [&]() {
          if (!decl_buffer->buffer->data.same_as(op->buffer_var)) {
            return false;
          }
          if (op->dtype != buffer->dtype) {
            return false;
          }
          if (op->extents.size() != buffer->shape.size()) {
            return false;
          }
          ExprDeepEqual expr_equal;
          for (size_t i = 0; i < op->extents.size(); i++) {
            if (!expr_equal(op->extents[i], buffer->shape[i])) {
              return false;
            }
          }
          return true;
        }();

        if (matching_buffer) {
          Buffer flattened = GetFlattenedBuffer(buffer);
          return flattened->shape;
        } else {
          ICHECK(decl_buffer->buffer->axis_separators.empty())
              << "DeclBuffer node doesn't match Allocate extents, but also "
                 "shouldn't be "
                 "flattened to 1-d physical memory";
        }
      }

      // Fallback, this is an allocation without a matching DeclBuffer
      PrimExpr flat_extent = 1;
      for (const auto &dim : op->extents) {
        flat_extent *= dim;
      }
      return {flat_extent};
    }();

    Allocate alloc = Downcast<Allocate>(StmtExprMutator::VisitStmt_(op));

    // TODO(Lunderberg): Move the handling of boolean into a
    // dedicated pass.
    if (alloc->dtype == DataType::Bool()) {
      alloc.CopyOnWrite()->dtype = DataType::Int(8);
    }

    if (!new_extents.same_as(alloc->extents)) {
      alloc.CopyOnWrite()->extents = new_extents;
    }

    return std::move(alloc);
  }

  Stmt VisitStmt_(const DeclBufferNode *op) final {
    // TODO(rfc-70): Update the DeclBuffer node instead of
    // stripping it out.  Stripping it out in the current
    // implementation as not all lowering passes support
    // DeclBuffer.
    return VisitStmt(op->body);
  }

  Buffer GetFlattenedBuffer(Buffer buf) {
    auto it = buffer_remap_.find(buf);
    if (it != buffer_remap_.end()) {
      return it->second;
    }
    auto flattened = buf.GetFlattenedBuffer();
    auto writer = flattened.CopyOnWrite();

    // TODO(Lunderberg): Move the handling of boolean into a
    // dedicated pass.
    if (flattened->dtype == DataType::Bool()) {
      writer->dtype = DataType::Int(8);
    }
    // canonicalize shape
    for (size_t i = 0; i < flattened->shape.size(); ++i) {
      writer->shape.Set(i, analyzer_->canonical_simplify(flattened->shape[i]));
    }

    buffer_remap_[buf] = flattened;
    return flattened;
  }

  Stmt VisitStmt_(const BufferStoreNode *op) final {
    BufferStore store = Downcast<BufferStore>(StmtExprMutator::VisitStmt_(op));
    bool store_returns_bool = (op->value.dtype() == DataType::Bool());
    store = VisitBufferAccess(store);

    // Handle casts from the value's dtype to the dtype of the
    // backing array.
    // TODO(Lunderberg): Move the handling of boolean into a
    // dedicated pass.
    if (store_returns_bool) {
      ICHECK_EQ(store->buffer->dtype, DataType::Int(8))
          << "Expected int8 backing array for boolean tensor";
      auto writer = store.CopyOnWrite();
      writer->value = tvm::cast(DataType::Int(8), store->value);
      return std::move(store);
    }
    return std::move(store);
  }

  PrimExpr VisitExpr_(const BufferLoadNode *op) final {
214
    bool load_returns_bool = (op->dtype == DataType::Bool());
215
    BufferLoad load = Downcast<BufferLoad>(StmtExprMutator::VisitExpr_(op));
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
    load = VisitBufferAccess(load);
    // Handle casts from dtype of the backing array to value's dtype.
    // TODO(Lunderberg): Move the handling of boolean into a
    // dedicated pass.
    if (load_returns_bool && !under_address_of) {
      ICHECK_EQ(load->buffer->dtype, DataType::Int(8))
          << "Expected int8 backing array for boolean tensor";
      load.CopyOnWrite()->dtype = DataType::Int(8);
      return tvm::cast(DataType::Bool(), load);
    } else {
      return std::move(load);
    }
  }

  PrimExpr VisitExpr_(const CallNode *op) final {
    if (op->op.same_as(builtin::address_of())) {
      under_address_of = true;
      auto result = StmtExprMutator::VisitExpr_(op);
      under_address_of = false;
      return result;
    }
    return StmtExprMutator::VisitExpr_(op);
238
239
240
241
242
  }

  Array<PrimExpr> GetSimplifiedElemOffset(const Buffer &buffer,
                                          const Array<PrimExpr> &indices) {
    auto flattened_indices = buffer->ElemOffset(indices);
243
    return this->IterMapSimplifyWithContext(flattened_indices, false);
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
  }

  template <typename Node> Node VisitBufferAccess(Node node) {
    ICHECK(node->buffer.defined());
    auto flattened_indices =
        GetSimplifiedElemOffset(node->buffer, node->indices);
    Buffer flattened_buffer = GetFlattenedBuffer(node->buffer);

    auto writer = node.CopyOnWrite();
    writer->buffer = flattened_buffer;
    writer->indices = flattened_indices;
    return node;
  }

  BufferRegion MutateBufferRegion(BufferRegion region) {
    Buffer orig_buf = region->buffer;
    Buffer flattened_buf = GetFlattenedBuffer(orig_buf);
    if (flattened_buf.same_as(orig_buf)) {
      return region;
    }

    Array<PrimExpr> min_values;
    Array<PrimExpr> max_values;
    for (const auto &range : region->region) {
      min_values.push_back(range->min);
      max_values.push_back(range->min + range->extent - 1);
    }

    Array<PrimExpr> flattened_min =
        GetSimplifiedElemOffset(orig_buf, min_values);
    Array<PrimExpr> flattened_max =
        GetSimplifiedElemOffset(orig_buf, max_values);

    Array<Range> flattened_ranges;
    ICHECK_EQ(flattened_min.size(), flattened_max.size());
    for (size_t i = 0; i < flattened_min.size(); i++) {
      flattened_ranges.push_back(Range(flattened_min[i], flattened_max[i] + 1));
    }

    return BufferRegion(flattened_buf, flattened_ranges);
  }

286
287
  /*! \brief Whether the current buffer is under address_of */
  bool under_address_of = false;
288
289
290
291
292
293
294
295
296
  /*! \brief Map of buffers being remapped. */
  std::unordered_map<Buffer, Buffer, ObjectPtrHash, ObjectPtrEqual>
      buffer_remap_;

  /*! \brief The updated external buffer map. */
  Map<Var, Buffer> updated_extern_buffer_map_;
};

PrimFunc FlattenBufferRewriter(PrimFunc f) {
297
  return BufferFlattener::Flatten(f);
298
299
300
301
302
303
304
305
306
307
}

using namespace tir::transform;
tvm::transform::Pass FlattenBuffer() {
  auto pass_func = [=](PrimFunc f, IRModule m, PassContext ctx) {
    return FlattenBufferRewriter(std::move(f));
  };
  return CreatePrimFuncPass(pass_func, 0, "tl.FlattenBuffer", {});
}

308
309
310
311
TVM_FFI_STATIC_INIT_BLOCK({
  namespace refl = tvm::ffi::reflection;
  refl::GlobalDef().def("tl.transform.FlattenBuffer", FlattenBuffer);
});
312
313
314

} // namespace tl
} // namespace tvm