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【PR】feat: broadcast backward #2059
czways创建于 9月11日
【PR】feat: broadcast backward #2059
已合并
czways创建于 9月11日
从czways/graph-autofusion_0729revert-mr-2023-1789107028331-auto合入到cann/graph-autofusiondevelop
共 16 个文件变更+4605-135
Aautofuse/optimize/graph_pass/broadcast_backward_pass.h+24-0
@@ -0,0 +1,24 @@
1+/**
2+ * Copyright (c) 2025 Huawei Technologies Co., Ltd.
3+ * This program is free software, you can redistribute it and/or modify it under the terms of
4+ * CANN Open Software License Agreement Version 2.0 (the "License").
5+ * Please refer to the License in the root of the software repository for the full text of the License.
6+ * THIS FILE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
7+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8+ * See LICENSE in the root directory of the software repository for the full text of the License.
9+ */
10+#ifndef OPTIMIZE_GRAPH_PASS_BROADCAST_BACKWARD_PASS_H
11+#define OPTIMIZE_GRAPH_PASS_BROADCAST_BACKWARD_PASS_H
12+ 
13+#include "base_graph_pass.h"
14+ 
15+namespace optimize {
16+class BroadcastBackwardPass final : public BaseGraphPass {
17+ public:
18+ BroadcastBackwardPass() = default;
19+ ~BroadcastBackwardPass() override = default;
20+ Status RunPass(af::AscGraph &graph) override;
21+};
22+} // namespace optimize
23+ 
24+#endif // OPTIMIZE_GRAPH_PASS_BROADCAST_BACKWARD_PASS_H
Aautofuse/optimize/graph_pass/broadcast_backward_shared_split.cpp+388-0
@@ -0,0 +1,388 @@
1+/**
2+ * Copyright (c) 2025 Huawei Technologies Co., Ltd.
3+ * This program is free software, you can redistribute it and/or modify it under the terms of
4+ * CANN Open Software License Agreement Version 2.0.
5+ */
6+#include "broadcast_backward_shared_split.h"
7+ 
8+#include <algorithm>
9+#include <string>
10+#include <vector>
11+ 
12+#include "ascir_ops.h"
13+#include "ascir_ops_utils.h"
14+#include "graph_utils.h"
15+#include "schedule_utils.h"
16+ 
17+using namespace ascir;
18+using namespace af::ascir_op;
19+using namespace af::ops;
20+ 
21+namespace optimize {
22+namespace broadcast_backward_shared_split {
23+namespace {
24+ 
25+using af::AscGraph;
26+using af::AscNode;
27+using af::AscNodePtr;
28+using af::AscTensorAttr;
29+using af::FAILED;
30+using af::SUCCESS;
31+using NodePtr = AscNodePtr;
32+ 
33+constexpr const char *kStoreType = Store::Type;
34+constexpr const char *kScalarType = Scalar::Type;
35+constexpr const char *kBroadcastType = Broadcast::Type;
36+constexpr const char *kCastType = Cast::Type;
37+ 
38+NodePtr ToAscNode(const af::NodePtr &node) {
39+ return std::dynamic_pointer_cast<AscNode>(node);
40+}
41+ 
42+bool IsSingleInAndOutNode(const NodePtr &node) {
43+ return node != nullptr && node->GetInDataNodesSize() == 1UL && node->GetOutDataNodesSize() == 1UL;
44+}
45+ 
46+Status GetPeerOutNodeSafe(const NodePtr &node, NodePtr &peer, int32_t index) {
47+ GE_ASSERT_NOTNULL(node);
48+ if (index < 0 || static_cast<size_t>(index) >= node->GetAllInDataAnchorsSize()) {
49+ return FAILED;
50+ }
51+ auto in_anchor = node->GetInDataAnchor(index);
52+ GE_ASSERT_NOTNULL(in_anchor);
53+ auto out_anchor = in_anchor->GetPeerOutAnchor();
54+ GE_ASSERT_NOTNULL(out_anchor);
55+ peer = ToAscNode(out_anchor->GetOwnerNode());
56+ return SUCCESS;
57+}
58+ 
59+Status GetOutputTensorAttr(const NodePtr &node, AscTensorAttr *&attr) {
60+ GE_ASSERT_NOTNULL(node);
61+ GE_ASSERT_TRUE(node->GetAllOutDataAnchorsSize() > 0U);
62+ attr = &node->outputs[0].attr;
63+ return SUCCESS;
64+}
65+ 
66+bool IsScalarInput(const NodePtr &node) {
67+ auto current = node;
68+ while (current != nullptr) {
69+ if (current->GetType() == kScalarType) {
70+ return true;
71+ }
72+ if (current->GetType() != kBroadcastType || GetPeerOutNodeSafe(current, current, 0) != SUCCESS) {
73+ break;
74+ }
75+ }
76+ return false;
77+}
78+ 
79+bool IsViewOp(const NodePtr &node) {
80+ static const std::vector<std::string> kViewTypes = {
81+ Transpose::Type, Broadcast::Type, "Slice", Split::Type, Concat::Type, Gather::Type, "Sum",
82+ "Mean", "Max", "Min", "Prod", "Any", "All"};
83+ return std::find(kViewTypes.begin(), kViewTypes.end(), node->GetType()) != kViewTypes.end();
84+}
85+ 
86+bool IsDtypeNotSupported(const NodePtr &node) {
87+ if (node->GetType() != kCastType || node->GetOpDesc() == nullptr) {
88+ return false;
89+ }
90+ const auto output_desc = node->GetOpDesc()->MutableOutputDesc(0);
91+ if (output_desc == nullptr) {
92+ return true;
93+ }
94+ const auto dtype = output_desc->GetDataType();
95+ const std::vector<af::DataType> input_dtypes = {dtype};
96+ std::vector<af::DataType> output_dtypes = {dtype};
97+ return ScheduleUtils::CallAscirInferDataType<Broadcast>(input_dtypes, output_dtypes) != SUCCESS;
98+}
99+ 
100+bool CanBackward(const NodePtr &node) {
101+ if (node == nullptr || node->GetType() == kStoreType || IsViewOp(node) || IsDtypeNotSupported(node)) {
102+ return false;
103+ }
104+ return node->GetAllOutDataAnchorsSize() <= 1U && node->GetInDataNodesSize() == 1UL;
105+}
106+ 
107+bool CanSharedConsumer(const NodePtr &node) {
108+ return node != nullptr && node->GetType() != kStoreType && !IsViewOp(node) && !IsDtypeNotSupported(node);
109+}
110+ 
111+Status TraceMergeNode(const NodePtr &start, NodePtr &merge) {
112+ NodePtr current = start;
113+ std::vector<NodePtr> visited;
114+ while (current != nullptr) {
115+ if (std::find(visited.begin(), visited.end(), current) != visited.end()) {
116+ return FAILED;
117+ }
118+ visited.push_back(current);
119+ if (current->GetInDataNodesSize() != 1UL || current->GetType() == kStoreType) {
120+ merge = current;
121+ return SUCCESS;
122+ }
123+ if (current->GetAllOutDataAnchorsSize() != 1U ||
124+ current->GetOutDataAnchor(0)->GetPeerInDataAnchors().size() != 1U) {
125+ return FAILED;
126+ }
127+ current = ToAscNode(current->GetOutDataNodes().at(0));
128+ }
129+ return FAILED;
130+}
131+ 
132+Status CollectCandidates(const AscGraph &graph, std::vector<NodePtr> &candidates) {
133+ for (const auto &node : graph.GetAllNodes()) {
134+ auto candidate = ToAscNode(node);
135+ if (candidate != nullptr && IsOps<Broadcast>(candidate) && candidate->GetOutDataNodesSize() > 1U &&
136+ !IsScalarInput(candidate)) {
137+ candidates.push_back(candidate);
138+ }
139+ }
140+ return SUCCESS;
141+}
142+ 
143+Status CollectBroadcastChain(NodePtr tail, std::vector<NodePtr> &chain, NodePtr &source) {
144+ NodePtr current = tail;
145+ while (IsOps<Broadcast>(current) && current->GetInDataNodesSize() == 1UL) {
146+ chain.push_back(current);
147+ GE_ASSERT_SUCCESS(GetPeerOutNodeSafe(current, current, 0));
148+ }
149+ std::reverse(chain.begin(), chain.end());
150+ source = current;
151+ return chain.empty() || source == nullptr || IsOps<Broadcast>(source) ? FAILED : SUCCESS;
152+}
153+ 
154+Status CloneBroadcast(AscGraph &graph, const NodePtr &source, const std::string &name, NodePtr &clone) {
155+ Broadcast op(name.c_str());
156+ clone = graph.AddNode(op);
157+ GE_ASSERT_NOTNULL(clone);
158+ AscTensorAttr *attr = nullptr;
159+ GE_ASSERT_SUCCESS(GetOutputTensorAttr(source, attr));
160+ op.attr.sched = source->attr.sched;
161+ op.attr.api.compute_type = af::ComputeType::kComputeBroadcast;
162+ op.attr.api.type = af::ApiType::kAPITypeCompute;
163+ op.y.dtype = attr->dtype;
164+ *op.y.axis = attr->axis;
165+ *op.y.repeats = attr->repeats;
166+ *op.y.strides = attr->strides;
167+ return SUCCESS;
168+}
169+ 
170+bool AllSame(const std::vector<NodePtr> &nodes) {
171+ return nodes.empty() ||
172+ std::all_of(nodes.begin() + 1, nodes.end(), [&](const NodePtr &node) { return node == nodes.front(); });
173+}
174+ 
175+struct BranchPlan {
176+ std::vector<NodePtr> consumers;
177+ std::vector<NodePtr> successors;
178+ std::vector<int32_t> successor_inputs;
179+};
180+ 
181+Status BuildBranchPlan(const NodePtr &tail, BranchPlan &plan) {
182+ auto out = tail->GetOutDataAnchor(0);
183+ GE_ASSERT_NOTNULL(out);
184+ const auto &peers = out->GetPeerInDataAnchors();
185+ if (peers.size() < 2U || peers.size() > 8U) {
186+ return FAILED;
187+ }
188+ for (const auto &peer : peers) {
189+ if (peer == nullptr) {
190+ return FAILED;
191+ }
192+ auto consumer = ToAscNode(peer->GetOwnerNode());
193+ if (!IsSingleInAndOutNode(consumer) || !CanBackward(consumer)) {
194+ return FAILED;
195+ }
196+ auto successor = ToAscNode(consumer->GetOutDataNodes().at(0));
197+ if (successor == nullptr || successor->GetAllInDataAnchorsSize() <= 1U) {
198+ return FAILED;
199+ }
200+ int32_t input = -1;
201+ for (uint32_t i = 0U; i < successor->GetAllInDataAnchorsSize(); ++i) {
202+ auto anchor = successor->GetInDataAnchor(static_cast<int32_t>(i));
203+ if (anchor != nullptr && anchor->GetPeerOutAnchor() != nullptr &&
204+ ToAscNode(anchor->GetPeerOutAnchor()->GetOwnerNode()) == consumer) {
205+ input = static_cast<int32_t>(i);
206+ break;
207+ }
208+ }
209+ if (input < 0) {
210+ return FAILED;
211+ }
212+ plan.consumers.push_back(consumer);
213+ plan.successors.push_back(successor);
214+ plan.successor_inputs.push_back(input);
215+ }
216+ return SUCCESS;
217+}
218+ 
219+Status BuildBranchChains(AscGraph &graph, const std::vector<NodePtr> &original, const BranchPlan &plan,
220+ std::vector<std::vector<NodePtr>> &chains) {
221+ chains.resize(plan.consumers.size());
222+ chains[0] = original;
223+ for (size_t branch = 1U; branch < chains.size(); ++branch) {
224+ for (const auto &node : original) {
225+ NodePtr clone;
226+ GE_ASSERT_SUCCESS(
227+ CloneBroadcast(graph, node, node->GetName() + "_branch_split_" + std::to_string(branch), clone));
228+ chains[branch].push_back(clone);
229+ }
230+ }
231+ return SUCCESS;
232+}
233+ 
234+Status ApplyBranchPlan(const NodePtr &source, const std::vector<NodePtr> &original, const BranchPlan &plan,
235+ const std::vector<std::vector<NodePtr>> &chains) {
236+ GE_ASSERT_GRAPH_SUCCESS(
237+ af::GraphUtils::RemoveEdge(source->GetOutDataAnchor(0), original.front()->GetInDataAnchor(0)));
238+ for (size_t i = 0U; i + 1U < original.size(); ++i) {
239+ GE_ASSERT_GRAPH_SUCCESS(
240+ af::GraphUtils::RemoveEdge(original[i]->GetOutDataAnchor(0), original[i + 1U]->GetInDataAnchor(0)));
241+ }
242+ AscTensorAttr *source_attr = nullptr;
243+ GE_ASSERT_SUCCESS(GetOutputTensorAttr(source, source_attr));
244+ for (size_t branch = 0U; branch < plan.consumers.size(); ++branch) {
245+ auto consumer = plan.consumers[branch];
246+ auto successor = plan.successors[branch];
247+ GE_ASSERT_GRAPH_SUCCESS(
248+ af::GraphUtils::RemoveEdge(original.back()->GetOutDataAnchor(0), consumer->GetInDataAnchor(0)));
249+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::RemoveEdge(consumer->GetOutDataAnchor(0),
250+ successor->GetInDataAnchor(plan.successor_inputs[branch])));
251+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::AddEdge(source->GetOutDataAnchor(0), consumer->GetInDataAnchor(0)));
252+ const auto &chain = chains[branch];
253+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::AddEdge(consumer->GetOutDataAnchor(0), chain.front()->GetInDataAnchor(0)));
254+ for (size_t i = 0U; i + 1U < chain.size(); ++i) {
255+ GE_ASSERT_GRAPH_SUCCESS(
256+ af::GraphUtils::AddEdge(chain[i]->GetOutDataAnchor(0), chain[i + 1U]->GetInDataAnchor(0)));
257+ }
258+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::AddEdge(chain.back()->GetOutDataAnchor(0),
259+ successor->GetInDataAnchor(plan.successor_inputs[branch])));
260+ AscTensorAttr *consumer_attr = nullptr;
261+ GE_ASSERT_SUCCESS(GetOutputTensorAttr(consumer, consumer_attr));
262+ consumer_attr->axis = source_attr->axis;
263+ consumer_attr->repeats = source_attr->repeats;
264+ consumer_attr->strides = source_attr->strides;
265+ }
266+ return SUCCESS;
267+}
268+ 
269+Status SplitOneBranch(AscGraph &graph, const NodePtr &tail, bool &changed) {
270+ changed = false;
271+ std::vector<NodePtr> original;
272+ NodePtr source;
273+ if (CollectBroadcastChain(tail, original, source) != SUCCESS) {
274+ return SUCCESS;
275+ }
276+ BranchPlan plan;
277+ if (BuildBranchPlan(tail, plan) != SUCCESS || AllSame(plan.successors)) {
278+ return SUCCESS;
279+ }
280+ std::vector<std::vector<NodePtr>> chains;
281+ GE_ASSERT_SUCCESS(BuildBranchChains(graph, original, plan, chains));
282+ GE_ASSERT_SUCCESS(ApplyBranchPlan(source, original, plan, chains));
283+ changed = true;
284+ return SUCCESS;
285+}
286+ 
287+struct ConsumerPlan {
288+ NodePtr source;
289+ std::vector<NodePtr> consumers;
290+ std::vector<int32_t> inputs;
291+};
292+ 
293+Status BuildConsumerPlan(const NodePtr &broadcast, ConsumerPlan &plan) {
294+ GE_ASSERT_SUCCESS(GetPeerOutNodeSafe(broadcast, plan.source, 0));
295+ if (plan.source == nullptr || IsOps<Broadcast>(plan.source)) {
296+ return FAILED;
297+ }
298+ auto out = broadcast->GetOutDataAnchor(0);
299+ GE_ASSERT_NOTNULL(out);
300+ const auto &peers = out->GetPeerInDataAnchors();
301+ if (peers.size() <= 1U) {
302+ return FAILED;
303+ }
304+ for (const auto &peer : peers) {
305+ auto consumer = peer == nullptr ? nullptr : ToAscNode(peer->GetOwnerNode());
306+ if (consumer == nullptr || !CanSharedConsumer(consumer)) {
307+ return FAILED;
308+ }
309+ plan.consumers.push_back(consumer);
310+ plan.inputs.push_back(peer->GetIdx());
311+ }
312+ if (AllSame(plan.consumers)) {
313+ return FAILED;
314+ }
315+ std::vector<NodePtr> merges;
316+ bool trace_failed = false;
317+ for (const auto &consumer : plan.consumers) {
318+ NodePtr merge;
319+ if (TraceMergeNode(consumer, merge) != SUCCESS) {
320+ trace_failed = true;
321+ break;
322+ }
323+ merges.push_back(merge);
324+ }
325+ if (!trace_failed && AllSame(merges)) {
326+ return FAILED;
327+ }
328+ return SUCCESS;
329+}
330+ 
331+Status SplitOneConsumer(AscGraph &graph, const NodePtr &broadcast, bool &changed) {
332+ changed = false;
333+ ConsumerPlan plan;
334+ if (BuildConsumerPlan(broadcast, plan) != SUCCESS) {
335+ return SUCCESS;
336+ }
337+ for (size_t i = 1U; i < plan.consumers.size(); ++i) {
338+ NodePtr clone;
339+ GE_ASSERT_SUCCESS(
340+ CloneBroadcast(graph, broadcast, broadcast->GetName() + "_consumer_split_" + std::to_string(i), clone));
341+ auto consumer_input = plan.consumers[i]->GetInDataAnchor(plan.inputs[i]);
342+ GE_ASSERT_NOTNULL(consumer_input);
343+ auto peer_out = consumer_input->GetPeerOutAnchor();
344+ GE_ASSERT_NOTNULL(peer_out);
345+ auto source_out = plan.source->GetOutDataAnchor(0);
346+ GE_ASSERT_NOTNULL(source_out);
347+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::RemoveEdge(peer_out, consumer_input));
348+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::AddEdge(source_out, clone->GetInDataAnchor(0)));
349+ GE_ASSERT_GRAPH_SUCCESS(af::GraphUtils::AddEdge(clone->GetOutDataAnchor(0), consumer_input));
350+ }
351+ changed = true;
352+ return SUCCESS;
353+}
354+ 
355+} // namespace
356+ 
357+Status SplitSharedBroadcastBranches(AscGraph &graph) {
358+ std::vector<NodePtr> candidates;
359+ GE_ASSERT_SUCCESS(CollectCandidates(graph, candidates));
360+ bool changed = false;
361+ for (const auto &candidate : candidates) {
362+ bool candidate_changed = false;
363+ GE_ASSERT_SUCCESS(SplitOneBranch(graph, candidate, candidate_changed));
364+ changed = changed || candidate_changed;
365+ }
366+ if (changed) {
367+ GE_ASSERT_SUCCESS(ScheduleUtils::TopologicalSorting(graph));
368+ }
369+ return SUCCESS;
370+}
371+ 
372+Status SplitSharedBroadcastConsumers(AscGraph &graph) {
373+ std::vector<NodePtr> candidates;
374+ GE_ASSERT_SUCCESS(CollectCandidates(graph, candidates));
375+ bool changed = false;
376+ for (const auto &candidate : candidates) {
377+ bool candidate_changed = false;
378+ GE_ASSERT_SUCCESS(SplitOneConsumer(graph, candidate, candidate_changed));
379+ changed = changed || candidate_changed;
380+ }
381+ if (changed) {
382+ GE_ASSERT_SUCCESS(ScheduleUtils::TopologicalSorting(graph));
383+ }
384+ return SUCCESS;
385+}
386+ 
387+} // namespace broadcast_backward_shared_split
388+} // namespace optimize
Aautofuse/optimize/graph_pass/broadcast_backward_shared_split.h+20-0
@@ -0,0 +1,20 @@
1+/**
2+ * Copyright (c) 2025 Huawei Technologies Co., Ltd.
3+ * This program is free software, you can redistribute it and/or modify it under the terms of
4+ * CANN Open Software License Agreement Version 2.0.
5+ */
6+#ifndef OPTIMIZE_GRAPH_PASS_BROADCAST_BACKWARD_SHARED_SPLIT_H
7+#define OPTIMIZE_GRAPH_PASS_BROADCAST_BACKWARD_SHARED_SPLIT_H
8+ 
9+#include "base_graph_pass.h"
10+ 
11+namespace optimize {
12+namespace broadcast_backward_shared_split {
13+ 
14+Status SplitSharedBroadcastBranches(af::AscGraph &graph);
15+Status SplitSharedBroadcastConsumers(af::AscGraph &graph);
16+ 
17+} // namespace broadcast_backward_shared_split
18+} // namespace optimize
19+ 
20+#endif // OPTIMIZE_GRAPH_PASS_BROADCAST_BACKWARD_SHARED_SPLIT_H
Mautofuse/optimize/platform/v1/pass_runner_v1.h+3-1
@@ -12,6 +12,7 @@
12#define AUTOFUSE_PATTERN_FUSION_UNITTEST_CPP_O_D_PASS_RUNNER_V1_H12#define AUTOFUSE_PATTERN_FUSION_UNITTEST_CPP_O_D_PASS_RUNNER_V1_H
13 13 
14#include "optimize/platform/common/pass_runner.h"14#include "optimize/platform/common/pass_runner.h"
15+#include "optimize/graph_pass/broadcast_backward_pass.h"
15#include "optimize/graph_pass/broadcast_const_to_store.h"16#include "optimize/graph_pass/broadcast_const_to_store.h"
16#include "optimize/graph_pass/duplicate_elewise_cse_pass.h"17#include "optimize/graph_pass/duplicate_elewise_cse_pass.h"
17#include "optimize/graph_pass/scalar_to_1d_tensor.h"18#include "optimize/graph_pass/scalar_to_1d_tensor.h"
@@ -27,10 +28,11 @@ class PassRunnerV1 final : public BasePassRunner {
27 this->RegisterPass<PowEquivSubstitutionPass>();28 this->RegisterPass<PowEquivSubstitutionPass>();
28 this->RegisterPass<BroadcastConstToStorePass>();29 this->RegisterPass<BroadcastConstToStorePass>();
29 this->RegisterPass<ScalarTo1DTensorPass>();30 this->RegisterPass<ScalarTo1DTensorPass>();
31+ this->RegisterPass<DuplicateElewiseCsePass>();
32+ this->RegisterPass<BroadcastBackwardPass>();
30 this->RegisterPass<ScalarBroadcastOptimizationPass>();33 this->RegisterPass<ScalarBroadcastOptimizationPass>();
31 this->RegisterPass<MaskedFillInputReorderPass>();34 this->RegisterPass<MaskedFillInputReorderPass>();
32 this->RegisterPass<ExpandDimsForAllReducePass>();35 this->RegisterPass<ExpandDimsForAllReducePass>();
33- this->RegisterPass<DuplicateElewiseCsePass>();
34 }36 }
35};37};
36} // namespace optimize38} // namespace optimize
Aautofuse/tests/framework/broadcast_backward/CMakeLists.txt+12-0
@@ -0,0 +1,12 @@
1+# -----------------------------------------------------------------------------------------------------------
2+# Copyright (c) 2026 Huawei Technologies Co., Ltd.
3+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4+# CANN Open Software License Agreement Version 2.0 (the "License").
5+# Please refer to the License for details. You may not use this file except in compliance with the License.
6+# THIS FILE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
7+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.
8+# See LICENSE in the root of the software repository for the full text of the License.
9+# -----------------------------------------------------------------------------------------------------------
10+ 
11+add_library(broadcast_backward_test_utils INTERFACE)
12+target_include_directories(broadcast_backward_test_utils INTERFACE ${CMAKE_CURRENT_SOURCE_DIR})
Aautofuse/tests/framework/broadcast_backward/broadcast_backward_test_utils.h+99-0
@@ -0,0 +1,99 @@
1+/**
2+ * Copyright (c) 2026 Huawei Technologies Co., Ltd.
3+ * This program is free software, you can redistribute it and/or modify it under the terms of
4+ * CANN Open Software License Agreement Version 2.0 (the "License").
5+ * Please refer to the License for the specific language governing permissions and limitations under the License.
6+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
7+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8+ * See LICENSE in the root of the software repository for the full text of the License.
9+ */
10+#ifndef AUTOFUSE_TESTS_FRAMEWORK_BROADCAST_BACKWARD_TEST_UTILS_H_
11+#define AUTOFUSE_TESTS_FRAMEWORK_BROADCAST_BACKWARD_TEST_UTILS_H_
12+ 
13+#include "gtest/gtest.h"
14+ 
15+#include <string>
16+ 
17+#include "asc_graph_builder.h"
18+#include "ascgraph_info_complete.h"
19+#include "optimize/graph_pass/broadcast_backward_pass.h"
20+#include "platform_context.h"
21+ 
22+namespace broadcast_backward_test {
23+ 
24+inline af::testing::AscGraphBuilder BuildCommonAxisGraphPrefix(const std::string &name) {
25+ const auto s0 = af::testing::Sym("s0");
26+ const auto s1 = af::testing::Sym("s1");
27+ const auto s2 = af::testing::Sym("s2");
28+ af::testing::AscGraphBuilder builder(name);
29+ builder.Loops({s0, s1, s2})
30+ .Data("data0", 0)
31+ .Data("data1", 1)
32+ .Load("load0", "data0", {af::sym::kSymbolOne, af::sym::kSymbolOne, s2},
33+ {af::sym::kSymbolZero, af::sym::kSymbolZero, af::sym::kSymbolOne})
34+ .Load("load1", "data1", {s0, af::sym::kSymbolOne, af::sym::kSymbolOne},
35+ {af::sym::kSymbolOne, af::sym::kSymbolZero, af::sym::kSymbolZero})
36+ .Broadcast("broadcast0", "load0", {0, 1})
37+ .Broadcast("broadcast1", "load1", {1, 2});
38+ return builder;
39+}
40+ 
41+inline af::AscGraph BuildCommonAxisGraph(const std::string &name) {
42+ return BuildCommonAxisGraphPrefix(name)
43+ .Add("merge", "broadcast0", "broadcast1")
44+ .Store("store", "merge")
45+ .Output("output", "store")
46+ .Build();
47+}
48+ 
49+inline af::AscGraph BuildDtypeAwareCommonAxisGraph(const std::string &name) {
50+ return BuildCommonAxisGraphPrefix(name)
51+ .Abs("abs", "broadcast0")
52+ .Cast("cast0", "abs", af::DT_FLOAT16)
53+ .Cast("cast1", "broadcast1", af::DT_FLOAT16)
54+ .Relu("relu", "cast1")
55+ .Add("merge", "cast0", "relu")
56+ .Store("store", "merge")
57+ .Output("output", "store")
58+ .Build();
59+}
60+ 
61+inline af::AscNodePtr FindNode(af::AscGraph &graph, const std::string &name) {
62+ for (const auto &node : graph.GetAllNodes()) {
63+ if (node->GetName() == name) {
64+ return std::dynamic_pointer_cast<af::AscNode>(node);
65+ }
66+ }
67+ return nullptr;
68+}
69+ 
70+inline std::string GetInputNodeName(const af::AscNodePtr &node, size_t input_index = 0U) {
71+ if (node == nullptr || input_index >= node->GetInDataNodesSize()) {
72+ return {};
73+ }
74+ const auto input_node = node->GetInDataNodes().at(input_index);
75+ return input_node == nullptr ? std::string() : input_node->GetName();
76+}
77+ 
78+inline void CompleteApiInfo(af::AscGraph &graph) {
79+ ge::PlatformContext::GetInstance().Reset();
80+ ge::PlatformContext::GetInstance().SetPlatform("3510");
81+ ASSERT_EQ(optimize::AscGraphInfoComplete::CompleteApiInfo(graph), af::SUCCESS);
82+}
83+ 
84+inline void SetNodeDtype(af::AscGraph &graph, const std::string &name, af::DataType dtype) {
85+ const auto node = FindNode(graph, name);
86+ ASSERT_NE(node, nullptr);
87+ const auto op_desc = node->GetOpDesc();
88+ ASSERT_NE(op_desc, nullptr);
89+ for (size_t input_index = 0U; input_index < node->GetAllInDataAnchorsSize(); ++input_index) {
90+ const auto input_desc = op_desc->MutableInputDesc(static_cast<uint32_t>(input_index));
91+ ASSERT_NE(input_desc, nullptr);
92+ input_desc->SetDataType(dtype);
93+ }
94+ node->outputs[0].attr.dtype = dtype;
95+}
96+ 
97+} // namespace broadcast_backward_test
98+ 
99+#endif // AUTOFUSE_TESTS_FRAMEWORK_BROADCAST_BACKWARD_TEST_UTILS_H_
Aautofuse/tests/framework/broadcast_backward/broadcast_backward_ut_utils.h+378-0
@@ -0,0 +1,378 @@
1+/**
2+ * Copyright (c) 2026 Huawei Technologies Co., Ltd.
3+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4+ * CANN Open Software License Agreement Version 2.0 (the "License").
5+ * Please refer to the License for details. You may not use this file except in compliance with the License.
6+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
7+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8+ * See LICENSE in the root of the software repository for the full text of the License.
9+ */
10+#ifndef AUTOFUSE_TESTS_FRAMEWORK_BROADCAST_BACKWARD_UT_UTILS_H_
11+#define AUTOFUSE_TESTS_FRAMEWORK_BROADCAST_BACKWARD_UT_UTILS_H_
12+ 
13+#include "gtest/gtest.h"
14+ 
15+#include <string>
16+#include <vector>
17+ 
18+#include "asc_graph_builder.h"
19+#include "graph_utils.h"
20+#include "optimize/graph_pass/broadcast_backward_pass.h"
21+#include "tests/framework/broadcast_backward/broadcast_backward_test_utils.h"
22+ 
23+namespace broadcast_backward_test {
24+ 
25+inline const std::vector<af::Expression> kCompactRepeats = {af::testing::Sym("s0"), af::sym::kSymbolOne};
26+inline const std::vector<af::Expression> kCompactStrides = {af::sym::kSymbolOne, af::sym::kSymbolZero};
27+ 
28+inline bool IsConnected(af::AscGraph &graph, const char *src_name, const char *dst_name) {
29+ for (const auto &node : graph.GetAllNodes()) {
30+ if (node->GetName() != src_name) {
31+ continue;
32+ }
33+ const auto out_anchor = node->GetOutDataAnchor(0);
34+ if (out_anchor == nullptr) {
35+ return false;
36+ }
37+ for (const auto &peer : out_anchor->GetPeerInDataAnchors()) {
38+ if (peer != nullptr && peer->GetOwnerNode()->GetName() == dst_name) {
39+ return true;
40+ }
41+ }
42+ }
43+ return false;
44+}
45+ 
46+inline bool AreExpressionVectorsEqual(const std::vector<af::Expression> &lhs, const std::vector<af::Expression> &rhs) {
47+ if (lhs.size() != rhs.size()) {
48+ return false;
49+ }
50+ for (size_t index = 0U; index < lhs.size(); ++index) {
51+ if (af::SymbolicUtils::StaticCheckEq(lhs[index], rhs[index]) != af::TriBool::kTrue) {
52+ return false;
53+ }
54+ }
55+ return true;
56+}
57+ 
58+inline bool AreConnectedTensorAttrsEqual(const af::AscNodePtr &source_node, const af::AscNodePtr &destination_node,
59+ size_t destination_input_index) {
60+ if (source_node == nullptr || destination_node == nullptr || source_node->GetOpDesc() == nullptr ||
61+ destination_node->GetOpDesc() == nullptr ||
62+ destination_input_index >= destination_node->GetAllInDataAnchorsSize()) {
63+ return false;
64+ }
65+ const auto source_anchor = source_node->GetOutDataAnchor(0);
66+ const auto destination_anchor = destination_node->GetInDataAnchor(static_cast<int32_t>(destination_input_index));
67+ return source_anchor != nullptr && destination_anchor != nullptr &&
68+ destination_anchor->GetPeerOutAnchor() == source_anchor &&
69+ source_node->GetOpDesc()->GetOutputDesc(0U).GetDataType() ==
70+ destination_node->GetOpDesc()->GetInputDesc(static_cast<uint32_t>(destination_input_index)).GetDataType();
71+}
72+ 
73+inline bool IsEdgeAttrConsistent(af::AscGraph &graph, const char *src_name, const char *dst_name) {
74+ for (const auto &node : graph.GetAllNodes()) {
75+ if (node->GetName() != src_name || node->GetOutDataAnchor(0) == nullptr) {
76+ continue;
77+ }
78+ for (const auto &peer : node->GetOutDataAnchor(0)->GetPeerInDataAnchors()) {
79+ if (peer == nullptr || peer->GetOwnerNode()->GetName() != dst_name) {
80+ continue;
81+ }
82+ const auto destination_node = std::dynamic_pointer_cast<af::AscNode>(peer->GetOwnerNode());
83+ const auto source_node = std::dynamic_pointer_cast<af::AscNode>(node);
84+ return AreConnectedTensorAttrsEqual(source_node, destination_node, static_cast<size_t>(peer->GetIdx()));
85+ }
86+ }
87+ return false;
88+}
89+ 
90+inline bool HasNode(af::AscGraph &graph, const char *node_name) {
91+ for (const auto &node : graph.GetAllNodes()) {
92+ if (node->GetName() == node_name) {
93+ return true;
94+ }
95+ }
96+ return false;
97+}
98+ 
99+inline void ExpectStaticEq(const std::vector<af::Expression> &actual, const std::vector<af::Expression> &expected) {
100+ ASSERT_EQ(actual.size(), expected.size());
101+ for (size_t index = 0U; index < actual.size(); ++index) {
102+ EXPECT_EQ(af::SymbolicUtils::StaticCheckEq(actual[index], expected[index]), af::TriBool::kTrue);
103+ }
104+}
105+ 
106+inline void ExpectResidualConnections(af::AscGraph &graph) {
107+ EXPECT_TRUE(IsConnected(graph, "load0", "broadcast0_residual_0"));
108+ EXPECT_TRUE(IsConnected(graph, "broadcast0_residual_0", "merge"));
109+ EXPECT_TRUE(IsConnected(graph, "load1", "broadcast1_residual_1"));
110+ EXPECT_TRUE(IsConnected(graph, "broadcast1_residual_1", "merge"));
111+}
112+ 
113+inline af::AscGraph BuildUnaryGraph(const std::string &op_name) {
114+ af::testing::AscGraphBuilder builder("broadcast_backward_unary_" + op_name);
115+ builder.Loops({af::testing::Sym("s0"), af::testing::Sym("s1")})
116+ .Data("data", 0)
117+ .Load("load", "data", kCompactRepeats, kCompactStrides)
118+ .Broadcast("broadcast", "load", {af::testing::Sym("s0"), af::testing::Sym("s1")});
119+ if (op_name == "Abs") {
120+ builder.Abs("compute", "broadcast");
121+ } else if (op_name == "Neg") {
122+ builder.Neg("compute", "broadcast");
123+ } else if (op_name == "Exp") {
124+ builder.Exp("compute", "broadcast");
125+ } else if (op_name == "Sqrt") {
126+ builder.Sqrt("compute", "broadcast");
127+ } else if (op_name == "Relu") {
128+ builder.Relu("compute", "broadcast");
129+ } else if (op_name == "Rsqrt") {
130+ builder.Op<af::ascir_op::Rsqrt>("compute", {"broadcast"});
131+ } else if (op_name == "Reciprocal") {
132+ builder.Op<af::ascir_op::Reciprocal>("compute", {"broadcast"});
133+ } else if (op_name == "Erf") {
134+ builder.Op<af::ascir_op::Erf>("compute", {"broadcast"});
135+ } else if (op_name == "Sign") {
136+ builder.Op<af::ascir_op::Sign>("compute", {"broadcast"});
137+ } else if (op_name == "Tanh") {
138+ builder.Op<af::ascir_op::Tanh>("compute", {"broadcast"});
139+ } else if (op_name == "Ln") {
140+ builder.Op<af::ascir_op::Ln>("compute", {"broadcast"});
141+ } else {
142+ ADD_FAILURE() << "Unsupported unary test operator: " << op_name;
143+ }
144+ return builder.Store("store", "compute").Output("output", "store").Build();
145+}
146+ 
147+inline af::AscGraph BuildBinaryGraph(const std::string &op_name) {
148+ af::testing::AscGraphBuilder builder("broadcast_backward_binary_" + op_name);
149+ builder.Loops({af::testing::Sym("s0"), af::testing::Sym("s1")})
150+ .Data("data0", 0)
151+ .Data("data1", 1)
152+ .Load("load0", "data0", kCompactRepeats, kCompactStrides)
153+ .Load("load1", "data1", kCompactRepeats, kCompactStrides)
154+ .Broadcast("broadcast0", "load0", {af::testing::Sym("s0"), af::testing::Sym("s1")})
155+ .Broadcast("broadcast1", "load1", {af::testing::Sym("s0"), af::testing::Sym("s1")});
156+ if (op_name == "Add") {
157+ builder.Add("compute", "broadcast0", "broadcast1");
158+ } else if (op_name == "Sub") {
159+ builder.Sub("compute", "broadcast0", "broadcast1");
160+ } else if (op_name == "Mul") {
161+ builder.Mul("compute", "broadcast0", "broadcast1");
162+ } else if (op_name == "Div") {
163+ builder.Div("compute", "broadcast0", "broadcast1");
164+ } else if (op_name == "Minimum") {
165+ builder.Minimum("compute", "broadcast0", "broadcast1");
166+ } else if (op_name == "Maximum") {
167+ builder.Maximum("compute", "broadcast0", "broadcast1");
168+ } else {
169+ ADD_FAILURE() << "Unsupported binary test operator: " << op_name;
170+ }
171+ return builder.Store("store", "compute").Output("output", "store").Build();
172+}
173+ 
174+inline af::AscGraph BuildDtypeAwareBinaryGraph(const std::string &op_name) {
175+ af::testing::AscGraphBuilder builder("broadcast_backward_dtype_aware_" + op_name);
176+ builder.Loops({af::testing::Sym("s0"), af::testing::Sym("s1")})
177+ .Data("data0", 0)
178+ .Data("data1", 1)
179+ .Load("load0", "data0", kCompactRepeats, kCompactStrides)
180+ .Load("load1", "data1", kCompactRepeats, kCompactStrides)
181+ .Broadcast("broadcast0", "load0", {af::testing::Sym("s0"), af::testing::Sym("s1")})
182+ .Broadcast("broadcast1", "load1", {af::testing::Sym("s0"), af::testing::Sym("s1")});
183+ if (op_name == "Eq") {
184+ builder.Op<af::ascir_op::Eq>("compute", {"broadcast0", "broadcast1"});
185+ } else if (op_name == "TrueDiv") {
186+ builder.Op<af::ascir_op::TrueDiv>("compute", {"broadcast0", "broadcast1"});
187+ } else {
188+ ADD_FAILURE() << "Unsupported dtype-aware binary test operator: " << op_name;
189+ }
190+ return builder.Store("store", "compute").Output("output", "store").Build();
191+}
192+ 
193+inline void ExpectBinaryBroadcastMove(af::AscGraph &graph) {
194+ EXPECT_TRUE(IsConnected(graph, "load0", "compute"));
195+ EXPECT_TRUE(IsConnected(graph, "load1", "compute"));
196+ EXPECT_TRUE(IsConnected(graph, "compute", "broadcast0"));
197+ EXPECT_TRUE(IsConnected(graph, "broadcast0", "store"));
198+ EXPECT_FALSE(HasNode(graph, "broadcast1"));
199+}
200+ 
201+inline void ExpectDtypeAwareBinaryMove(af::AscGraph &graph, const std::string &op_name) {
202+ CompleteApiInfo(graph);
203+ optimize::BroadcastBackwardPass pass;
204+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS) << op_name;
205+ EXPECT_TRUE(IsConnected(graph, "load0", "compute"));
206+ EXPECT_TRUE(IsConnected(graph, "load1", "compute"));
207+ EXPECT_TRUE(IsConnected(graph, "compute", "broadcast0"));
208+ EXPECT_TRUE(IsConnected(graph, "broadcast0", "store"));
209+ EXPECT_FALSE(HasNode(graph, "broadcast1"));
210+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "load0", "compute"));
211+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "load1", "compute"));
212+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "compute", "broadcast0"));
213+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "broadcast0", "store"));
214+}
215+ 
216+inline void ExpectCommonAxisLayouts(af::AscGraph &graph, const std::vector<af::Expression> &compact_repeats,
217+ const std::vector<af::Expression> &expanded_repeats,
218+ const std::vector<af::Expression> &compact_strides,
219+ const std::vector<af::Expression> &expanded_strides) {
220+ const auto merge = FindNode(graph, "merge");
221+ const auto common = FindNode(graph, "merge_broadcast_backward_common");
222+ const auto residual0 = FindNode(graph, "broadcast0_residual_0");
223+ const auto residual1 = FindNode(graph, "broadcast1_residual_1");
224+ ASSERT_NE(merge, nullptr);
225+ ASSERT_NE(common, nullptr);
226+ ASSERT_NE(residual0, nullptr);
227+ ASSERT_NE(residual1, nullptr);
228+ ExpectStaticEq(merge->inputs[0].attr.repeats, compact_repeats);
229+ ExpectStaticEq(merge->inputs[1].attr.repeats, compact_repeats);
230+ ExpectStaticEq(merge->outputs[0].attr.repeats, compact_repeats);
231+ ExpectStaticEq(common->outputs[0].attr.repeats, expanded_repeats);
232+ ExpectStaticEq(residual0->outputs[0].attr.strides, compact_strides);
233+ ExpectStaticEq(residual1->outputs[0].attr.strides, compact_strides);
234+ ExpectStaticEq(merge->outputs[0].attr.strides, compact_strides);
235+ ExpectStaticEq(common->outputs[0].attr.strides, expanded_strides);
236+}
237+ 
238+inline af::AscGraph BuildDirectFanOutGraph(const std::string &name) {
239+ const auto s0 = af::testing::Sym("s0");
240+ const auto s1 = af::testing::Sym("s1");
241+ return af::testing::AscGraphBuilder(name)
242+ .Loops({s0, s1})
243+ .Data("data", 0)
244+ .Load("load", "data", kCompactRepeats, kCompactStrides)
245+ .Broadcast("broadcast", "load", {1})
246+ .Abs("branch0", "broadcast")
247+ .Neg("branch1", "broadcast")
248+ .Add("merge", "branch0", "branch1")
249+ .Store("store", "merge")
250+ .Output("output", "store")
251+ .Build();
252+}
253+ 
254+inline af::AscGraph BuildMultiNodeFanOutGraph(const std::string &name) {
255+ const auto s0 = af::testing::Sym("s0");
256+ const auto s1 = af::testing::Sym("s1");
257+ return af::testing::AscGraphBuilder(name)
258+ .Loops({s0, s1})
259+ .Data("data", 0)
260+ .Load("load", "data", kCompactRepeats, kCompactStrides)
261+ .Broadcast("broadcast", "load", {1})
262+ .Abs("branch0_head", "broadcast")
263+ .Relu("branch0_tail", "branch0_head")
264+ .Neg("branch1_head", "broadcast")
265+ .Exp("branch1_tail", "branch1_head")
266+ .Add("merge", "branch0_tail", "branch1_tail")
267+ .Store("store", "merge")
268+ .Output("output", "store")
269+ .Build();
270+}
271+ 
272+inline af::AscGraph BuildScalarForkJoinGraph(const std::string &name) {
273+ const auto s0 = af::testing::Sym("s0");
274+ const auto s1 = af::testing::Sym("s1");
275+ return af::testing::AscGraphBuilder(name)
276+ .Loops({s0, s1})
277+ .Scalar("scalar", "1.0")
278+ .Broadcast("broadcast", "scalar", {s0, s1})
279+ .Abs("left", "broadcast")
280+ .Neg("right", "broadcast")
281+ .Add("merge", "left", "right")
282+ .Store("store", "merge")
283+ .Output("output", "store")
284+ .Build();
285+}
286+ 
287+inline af::AscGraph BuildSharedDtypeAwareFanOutGraph(const std::string &name) {
288+ const auto s0 = af::testing::Sym("s0");
289+ const auto s1 = af::testing::Sym("s1");
290+ const auto s2 = af::testing::Sym("s2");
291+ const std::vector<af::Expression> compact = {s0, af::sym::kSymbolOne, s2};
292+ const std::vector<af::Expression> strides = {s2, af::sym::kSymbolZero, af::sym::kSymbolOne};
293+ return af::testing::AscGraphBuilder(name)
294+ .Loops({s0, s1, s2})
295+ .Data("data", 0, af::DT_INT32)
296+ .Load("load", "data", compact, strides)
297+ .Broadcast("broadcast", "load", {1})
298+ .Abs("abs", "broadcast")
299+ .Cast("left_cast", "abs", af::DT_FLOAT)
300+ .Cast("right_cast", "broadcast", af::DT_FLOAT)
301+ .Relu("relu", "right_cast")
302+ .Add("add", "relu", "left_cast")
303+ .Sqrt("sqrt", "add")
304+ .Op<af::ascir_op::Sigmoid>("sigmoid", {"sqrt"})
305+ .Store("store", "sigmoid")
306+ .Output("output", "store")
307+ .Build();
308+}
309+ 
310+inline void CompleteSharedDtypeAwareFanOutGraph(af::AscGraph &graph) {
311+ CompleteApiInfo(graph);
312+ for (const auto *node_name : {"load", "broadcast", "abs"}) {
313+ SetNodeDtype(graph, node_name, af::DT_INT32);
314+ }
315+ for (const auto *node_name : {"left_cast", "right_cast"}) {
316+ const auto cast = FindNode(graph, node_name);
317+ ASSERT_NE(cast, nullptr);
318+ cast->GetOpDesc()->MutableInputDesc(0U)->SetDataType(af::DT_INT32);
319+ }
320+ for (const auto *node_name : {"relu", "add", "sqrt", "sigmoid", "store"}) {
321+ SetNodeDtype(graph, node_name, af::DT_FLOAT);
322+ }
323+}
324+ 
325+inline void ExpectDirectFanOutCandidate(af::AscGraph &graph) {
326+ const auto broadcast = FindNode(graph, "broadcast");
327+ const auto branch0 = FindNode(graph, "branch0");
328+ const auto branch1 = FindNode(graph, "branch1");
329+ const auto merge = FindNode(graph, "merge");
330+ ASSERT_NE(broadcast, nullptr);
331+ ASSERT_NE(branch0, nullptr);
332+ ASSERT_NE(branch1, nullptr);
333+ ASSERT_NE(merge, nullptr);
334+ ASSERT_EQ(broadcast->GetOutDataAnchor(0)->GetPeerInDataAnchors().size(), 2U);
335+ ASSERT_EQ(branch0->GetAllInDataAnchorsSize(), 1U);
336+ ASSERT_EQ(branch0->GetOutDataNodesSize(), 1U);
337+ ASSERT_EQ(branch1->GetAllInDataAnchorsSize(), 1U);
338+ ASSERT_EQ(branch1->GetOutDataNodesSize(), 1U);
339+ ASSERT_EQ(merge->GetAllInDataAnchorsSize(), 2U);
340+ ASSERT_EQ(merge->GetOutDataNodesSize(), 1U);
341+ ASSERT_TRUE(IsEdgeAttrConsistent(graph, "broadcast", "branch0"));
342+ ASSERT_TRUE(IsEdgeAttrConsistent(graph, "broadcast", "branch1"));
343+ ASSERT_TRUE(IsEdgeAttrConsistent(graph, "branch0", "merge"));
344+ ASSERT_TRUE(IsEdgeAttrConsistent(graph, "branch1", "merge"));
345+ ASSERT_TRUE(IsEdgeAttrConsistent(graph, "merge", "store"));
346+ ASSERT_TRUE(AreExpressionVectorsEqual(merge->outputs[0].attr.repeats, broadcast->outputs[0].attr.repeats));
347+ ASSERT_EQ(merge->outputs[0].attr.axis, broadcast->outputs[0].attr.axis);
348+ ASSERT_EQ(merge->outputs[0].attr.dtype, broadcast->outputs[0].attr.dtype);
349+ ASSERT_TRUE(AreExpressionVectorsEqual(merge->outputs[0].attr.strides, broadcast->outputs[0].attr.strides));
350+}
351+ 
352+inline void ExpectDirectFanOutMoved(af::AscGraph &graph) {
353+ EXPECT_TRUE(IsConnected(graph, "load", "branch0"));
354+ EXPECT_TRUE(IsConnected(graph, "load", "branch1"));
355+ EXPECT_TRUE(IsConnected(graph, "branch0", "merge"));
356+ EXPECT_TRUE(IsConnected(graph, "branch1", "merge"));
357+ EXPECT_TRUE(IsConnected(graph, "merge", "broadcast"));
358+ EXPECT_TRUE(IsConnected(graph, "broadcast", "store"));
359+ const auto branch0 = FindNode(graph, "branch0");
360+ const auto branch1 = FindNode(graph, "branch1");
361+ const auto merge = FindNode(graph, "merge");
362+ ASSERT_NE(branch0, nullptr);
363+ ASSERT_NE(branch1, nullptr);
364+ ASSERT_NE(merge, nullptr);
365+ ExpectStaticEq(branch0->inputs[0].attr.repeats, kCompactRepeats);
366+ ExpectStaticEq(branch1->inputs[0].attr.repeats, kCompactRepeats);
367+ ExpectStaticEq(merge->outputs[0].attr.repeats, kCompactRepeats);
368+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "load", "branch0"));
369+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "load", "branch1"));
370+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "branch0", "merge"));
371+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "branch1", "merge"));
372+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "merge", "broadcast"));
373+ EXPECT_TRUE(IsEdgeAttrConsistent(graph, "broadcast", "store"));
374+}
375+ 
376+} // namespace broadcast_backward_test
377+ 
378+#endif // AUTOFUSE_TESTS_FRAMEWORK_BROADCAST_BACKWARD_UT_UTILS_H_
Mautofuse/tests/st/optimize/optimize_st.cpp+30-44
@@ -1896,7 +1896,7 @@ TEST_F(OptimizerSt, MultiBroadcastCancellation_All_One) {
1896 auto impl_grp_0_brc4 = impl_graphs[0].FindNode("brc4");1896 auto impl_grp_0_brc4 = impl_graphs[0].FindNode("brc4");
1897 EXPECT_NE(impl_grp_0_brc4, nullptr);1897 EXPECT_NE(impl_grp_0_brc4, nullptr);
1898 EXPECT_EQ(impl_grp_0_brc4->GetAllInDataAnchorsSize(), 1);1898 EXPECT_EQ(impl_grp_0_brc4->GetAllInDataAnchorsSize(), 1);
1899- EXPECT_EQ(impl_grp_0_brc4->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "abs0");1899+ EXPECT_EQ(impl_grp_0_brc4->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "add0");
1900 1900 
1901 EXPECT_EQ(impl_graphs[1].FindNode("brc0"), nullptr);1901 EXPECT_EQ(impl_graphs[1].FindNode("brc0"), nullptr);
1902 EXPECT_EQ(impl_graphs[1].FindNode("brc1"), nullptr);1902 EXPECT_EQ(impl_graphs[1].FindNode("brc1"), nullptr);
@@ -1905,7 +1905,7 @@ TEST_F(OptimizerSt, MultiBroadcastCancellation_All_One) {
1905 auto impl_grp_1_brc3 = impl_graphs[1].FindNode("brc3");1905 auto impl_grp_1_brc3 = impl_graphs[1].FindNode("brc3");
1906 EXPECT_NE(impl_grp_1_brc3, nullptr);1906 EXPECT_NE(impl_grp_1_brc3, nullptr);
1907 EXPECT_EQ(impl_grp_1_brc3->GetAllInDataAnchorsSize(), 1);1907 EXPECT_EQ(impl_grp_1_brc3->GetAllInDataAnchorsSize(), 1);
1908- EXPECT_EQ(impl_grp_1_brc3->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "abs0");1908+ EXPECT_EQ(impl_grp_1_brc3->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "add0");
1909 1909 
1910 EXPECT_EQ(impl_graphs[2].FindNode("brc0"), nullptr);1910 EXPECT_EQ(impl_graphs[2].FindNode("brc0"), nullptr);
1911 EXPECT_EQ(impl_graphs[2].FindNode("brc3"), nullptr);1911 EXPECT_EQ(impl_graphs[2].FindNode("brc3"), nullptr);
@@ -1913,7 +1913,7 @@ TEST_F(OptimizerSt, MultiBroadcastCancellation_All_One) {
1913 auto impl_grp_2_brc2 = impl_graphs[2].FindNode("brc2");1913 auto impl_grp_2_brc2 = impl_graphs[2].FindNode("brc2");
1914 EXPECT_NE(impl_grp_2_brc2, nullptr);1914 EXPECT_NE(impl_grp_2_brc2, nullptr);
1915 EXPECT_EQ(impl_grp_2_brc2->GetAllInDataAnchorsSize(), 1);1915 EXPECT_EQ(impl_grp_2_brc2->GetAllInDataAnchorsSize(), 1);
1916- EXPECT_EQ(impl_grp_2_brc2->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "abs0");1916+ EXPECT_EQ(impl_grp_2_brc2->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "add0");
1917 1917 
1918 EXPECT_EQ(impl_graphs[3].FindNode("brc0"), nullptr);1918 EXPECT_EQ(impl_graphs[3].FindNode("brc0"), nullptr);
1919 EXPECT_EQ(impl_graphs[3].FindNode("brc2"), nullptr);1919 EXPECT_EQ(impl_graphs[3].FindNode("brc2"), nullptr);
@@ -1922,7 +1922,7 @@ TEST_F(OptimizerSt, MultiBroadcastCancellation_All_One) {
1922 auto impl_grp_3_brc1 = impl_graphs[3].FindNode("brc1");1922 auto impl_grp_3_brc1 = impl_graphs[3].FindNode("brc1");
1923 EXPECT_NE(impl_grp_3_brc1, nullptr);1923 EXPECT_NE(impl_grp_3_brc1, nullptr);
1924 EXPECT_EQ(impl_grp_3_brc1->GetAllInDataAnchorsSize(), 1);1924 EXPECT_EQ(impl_grp_3_brc1->GetAllInDataAnchorsSize(), 1);
1925- EXPECT_EQ(impl_grp_3_brc1->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "abs0");1925+ EXPECT_EQ(impl_grp_3_brc1->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "add0");
1926 1926 
1927 EXPECT_EQ(impl_graphs[4].FindNode("brc1"), nullptr);1927 EXPECT_EQ(impl_graphs[4].FindNode("brc1"), nullptr);
1928 EXPECT_EQ(impl_graphs[4].FindNode("brc2"), nullptr);1928 EXPECT_EQ(impl_graphs[4].FindNode("brc2"), nullptr);
@@ -1931,7 +1931,7 @@ TEST_F(OptimizerSt, MultiBroadcastCancellation_All_One) {
1931 auto impl_grp_4_exp0 = impl_graphs[4].FindNode("exp0");1931 auto impl_grp_4_exp0 = impl_graphs[4].FindNode("exp0");
1932 EXPECT_NE(impl_grp_4_exp0, nullptr);1932 EXPECT_NE(impl_grp_4_exp0, nullptr);
1933 EXPECT_EQ(impl_grp_4_exp0->GetAllInDataAnchorsSize(), 1);1933 EXPECT_EQ(impl_grp_4_exp0->GetAllInDataAnchorsSize(), 1);
1934- EXPECT_EQ(impl_grp_4_exp0->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "brc0");1934+ EXPECT_EQ(impl_grp_4_exp0->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "abs0");
1935}1935}
1936 1936 
1937TEST_F(OptimizerSt, ScalarBroadcastOptimization_Two_Scalar) {1937TEST_F(OptimizerSt, ScalarBroadcastOptimization_Two_Scalar) {
@@ -1967,10 +1967,10 @@ TEST_F(OptimizerSt, ScalarBroadcastOptimization_Two_Scalar) {
1967 EXPECT_EQ(impl_graphs.size(), 3);1967 EXPECT_EQ(impl_graphs.size(), 3);
1968 auto impl_graph0 = af::AscGraphUtils::GetComputeGraph(impl_graphs[0]);1968 auto impl_graph0 = af::AscGraphUtils::GetComputeGraph(impl_graphs[0]);
1969 EXPECT_EQ(impl_graph0->GetAllNodesSize(), 8);1969 EXPECT_EQ(impl_graph0->GetAllNodesSize(), 8);
1970- EXPECT_EQ(impl_graph0->FindNode("brc1"), nullptr);1970+ EXPECT_NE(impl_graph0->FindNode("brc1"), nullptr);
1971 EXPECT_EQ(impl_graph0->FindNode("brc2"), nullptr);1971 EXPECT_EQ(impl_graph0->FindNode("brc2"), nullptr);
1972 EXPECT_EQ(impl_graph0->FindNode("brc3"), nullptr);1972 EXPECT_EQ(impl_graph0->FindNode("brc3"), nullptr);
1973- EXPECT_NE(impl_graph0->FindNode("brc4"), nullptr);1973+ EXPECT_EQ(impl_graph0->FindNode("brc4"), nullptr);
1974 EXPECT_EQ(impl_graph0->FindNode("brc5"), nullptr);1974 EXPECT_EQ(impl_graph0->FindNode("brc5"), nullptr);
1975 EXPECT_EQ(impl_graph0->FindNode("brc6"), nullptr);1975 EXPECT_EQ(impl_graph0->FindNode("brc6"), nullptr);
1976}1976}
@@ -2001,23 +2001,23 @@ TEST_F(OptimizerSt, RemoveRedundantBroadcast) {
2001 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0].size(), 1UL);2001 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0].size(), 1UL);
2002 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups.size(), 1UL);2002 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups.size(), 1UL);
2003 auto impl_graphs = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs;2003 auto impl_graphs = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs;
2004- EXPECT_EQ(impl_graphs.size(), 3);2004+ EXPECT_EQ(impl_graphs.size(), 4);
2005- // check don't remove brc2005+ // consumer split creates clone for exp1; common-axis backward removes brc0/brc1 from add0's chain
2006 auto impl_grp_0_exp1 = impl_graphs[0].FindNode("exp1");2006 auto impl_grp_0_exp1 = impl_graphs[0].FindNode("exp1");
2007 EXPECT_NE(impl_grp_0_exp1, nullptr);2007 EXPECT_NE(impl_grp_0_exp1, nullptr);
2008 EXPECT_EQ(impl_grp_0_exp1->GetAllInDataAnchorsSize(), 1);2008 EXPECT_EQ(impl_grp_0_exp1->GetAllInDataAnchorsSize(), 1);
2009- EXPECT_EQ(impl_grp_0_exp1->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "brc0");2009+ EXPECT_EQ(impl_grp_0_exp1->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(),
2010+ "brc0_consumer_split_1");
2010 2011 
2011 auto impol_grp_0_add0 = impl_graphs[0].FindNode("add0");2012 auto impol_grp_0_add0 = impl_graphs[0].FindNode("add0");
2012 EXPECT_NE(impol_grp_0_add0, nullptr);2013 EXPECT_NE(impol_grp_0_add0, nullptr);
2013 EXPECT_EQ(impol_grp_0_add0->GetAllInDataAnchorsSize(), 2);2014 EXPECT_EQ(impol_grp_0_add0->GetAllInDataAnchorsSize(), 2);
2014- EXPECT_EQ(impol_grp_0_add0->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "brc0");2015+ EXPECT_EQ(impol_grp_0_add0->GetInDataAnchor(0)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "abs0");
2015- EXPECT_EQ(impol_grp_0_add0->GetInDataAnchor(1)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "brc1");2016+ EXPECT_EQ(impol_grp_0_add0->GetInDataAnchor(1)->GetPeerOutAnchor()->GetOwnerNode()->GetName(), "exp0");
2016 2017 
2017- EXPECT_NE(impl_graphs[0].FindNode("brc0"), nullptr);2018+ EXPECT_NE(impl_graphs[0].FindNode("brc0_consumer_split_1"), nullptr);
2018- EXPECT_NE(impl_graphs[0].FindNode("brc1"), nullptr);
2019 2019 
2020- // check remove brc2020+ // check remove brc in unaligned template
2021 auto impl_grp_1_exp1 = impl_graphs[1].FindNode("exp1");2021 auto impl_grp_1_exp1 = impl_graphs[1].FindNode("exp1");
2022 EXPECT_NE(impl_grp_1_exp1, nullptr);2022 EXPECT_NE(impl_grp_1_exp1, nullptr);
2023 EXPECT_EQ(impl_grp_1_exp1->GetAllInDataAnchorsSize(), 1);2023 EXPECT_EQ(impl_grp_1_exp1->GetAllInDataAnchorsSize(), 1);
@@ -2262,20 +2262,9 @@ TEST_F(OptimizerSt, BufQueAllocator_RemovePad_MemUnique) {
2262 broadcast1.y.dtype = af::DataType::DT_FLOAT;2262 broadcast1.y.dtype = af::DataType::DT_FLOAT;
2263 broadcast1.attr.api.unit = ComputeUnit::kUnitVector;2263 broadcast1.attr.api.unit = ComputeUnit::kUnitVector;
2264 2264 
2265- af::ascir_op::Abs abs0("abs0");
2266- abs0.x = broadcast1.y;
2267- abs0.attr.api.compute_type = ComputeType::kComputeElewise;
2268- abs0.attr.api.type = af::ApiType::kAPITypeCompute;
2269- abs0.attr.sched.axis = {z0.id, z1.id};
2270- *abs0.y.axis = {z0.id, z1.id};
2271- *abs0.y.repeats = {s0, s1};
2272- *abs0.y.strides = {s1, One};
2273- abs0.y.dtype = af::DataType::DT_FLOAT;
2274- abs0.attr.api.unit = ComputeUnit::kUnitVector;
2275- 
2276 af::ascir_op::Add add0("add0");2265 af::ascir_op::Add add0("add0");
2277 add0.x1 = load0.y;2266 add0.x1 = load0.y;
2278- add0.x2 = abs0.y;2267+ add0.x2 = broadcast1.y;
2279 add0.attr.api.compute_type = ComputeType::kComputeElewise;2268 add0.attr.api.compute_type = ComputeType::kComputeElewise;
2280 add0.attr.api.type = af::ApiType::kAPITypeCompute;2269 add0.attr.api.type = af::ApiType::kAPITypeCompute;
2281 add0.attr.sched.axis = {z0.id, z1.id};2270 add0.attr.sched.axis = {z0.id, z1.id};
@@ -2339,23 +2328,20 @@ TEST_F(OptimizerSt, BufQueAllocator_RemovePad_MemUnique) {
2339 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups.size(), 1UL);2328 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups.size(), 1UL);
2340 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs.size(), 3UL);2329 EXPECT_EQ(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs.size(), 3UL);
2341 2330 
2342- auto impl_graph2 = af::AscGraphUtils::GetComputeGraph(2331+ auto impl_graph1 = af::AscGraphUtils::GetComputeGraph(
2343- fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[2]);2332+ fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[1]);
2344- EXPECT_EQ(impl_graph2->GetAllNodesSize(), 13);2333+ EXPECT_EQ(impl_graph1->GetAllNodesSize(), 12);
2345- EXPECT_NE(impl_graph2->FindNode("broadcast1"), nullptr);2334+ EXPECT_NE(impl_graph1->FindNode("broadcast1"), nullptr);
2346- EXPECT_NE(impl_graph2->FindNode("broadcast1_remove_pad_0"), nullptr);2335+ EXPECT_NE(impl_graph1->FindNode("broadcast1_remove_pad_0"), nullptr);
2347- EXPECT_NE(impl_graph2->FindNode("add0"), nullptr);2336+ EXPECT_NE(impl_graph1->FindNode("add0"), nullptr);
2348- EXPECT_NE(impl_graph2->FindNode("abs0"), nullptr);2337+ const auto &impl_graph1_brc1 = std::dynamic_pointer_cast<af::AscNode>(impl_graph1->FindNode("broadcast1"));
2349- const auto &impl_graph2_brc1 = std::dynamic_pointer_cast<af::AscNode>(impl_graph2->FindNode("broadcast1"));2338+ const auto &impl_graph1_rpd =
2350- const auto &impl_graph2_rpd =2339+ std::dynamic_pointer_cast<af::AscNode>(impl_graph1->FindNode("broadcast1_remove_pad_0"));
2351- std::dynamic_pointer_cast<af::AscNode>(impl_graph2->FindNode("broadcast1_remove_pad_0"));2340+ const auto &impl_graph1_add0 = std::dynamic_pointer_cast<af::AscNode>(impl_graph1->FindNode("add0"));
2352- const auto &impl_graph2_add0 = std::dynamic_pointer_cast<af::AscNode>(impl_graph2->FindNode("add0"));2341+ const auto &impl_graph1_mul0 = std::dynamic_pointer_cast<af::AscNode>(impl_graph1->FindNode("mul0"));
2353- const auto &impl_graph2_abs0 = std::dynamic_pointer_cast<af::AscNode>(impl_graph2->FindNode("abs0"));2342+ EXPECT_EQ(impl_graph1_brc1->outputs[0].attr.buf.id, 1);
2354- const auto &impl_graph2_mul0 = std::dynamic_pointer_cast<af::AscNode>(impl_graph2->FindNode("mul0"));2343+ EXPECT_EQ(impl_graph1_rpd->outputs[0].attr.buf.id, 2);
2355- EXPECT_EQ(impl_graph2_brc1->outputs[0].attr.buf.id, 1);2344+ EXPECT_EQ(impl_graph1_add0->outputs[0].attr.que.id, impl_graph1_mul0->outputs[0].attr.que.id);
2356- EXPECT_EQ(impl_graph2_rpd->outputs[0].attr.buf.id, 2);
2357- EXPECT_EQ(impl_graph2_abs0->outputs[0].attr.buf.id, 3);
2358- EXPECT_EQ(impl_graph2_add0->outputs[0].attr.que.id, impl_graph2_mul0->outputs[0].attr.que.id);
2359}2345}
2360 2346 
2361TEST_F(OptimizerSt, BufQueAllocator_Inplace) {2347TEST_F(OptimizerSt, BufQueAllocator_Inplace) {
Aautofuse/tests/st/optimize/test_broadcast_backward_pass.cpp+132-0
@@ -0,0 +1,132 @@
1+/**
2+ * Copyright (c) 2026 Huawei Technologies Co., Ltd.
3+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4+ * CANN Open Software License Agreement Version 2.0 (the "License").
5+ * Please refer to the License for details. You may not use this file except in compliance with the License.
6+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
7+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8+ * See LICENSE in the root of the software repository for the full text of the License.
9+ */
10+ 
11+#include "gtest/gtest.h"
12+ 
13+#include "asc_graph_builder.h"
14+#include "tests/framework/broadcast_backward/broadcast_backward_test_utils.h"
15+#include "tests/framework/broadcast_backward/broadcast_backward_ut_utils.h"
16+#include "optimize/graph_pass/broadcast_backward_pass.h"
17+ 
18+namespace {
19+using af::AscGraph;
20+using af::testing::AscGraphBuilder;
21+using af::testing::Sym;
22+using namespace broadcast_backward_test;
23+} // namespace
24+ 
25+TEST(BroadcastBackwardPassSt, ChecksScalarForkJoinBranches) {
26+ auto graph = BuildScalarForkJoinGraph("broadcast_backward_scalar_fork_join_st");
27+ CompleteApiInfo(graph);
28+ optimize::BroadcastBackwardPass pass;
29+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
30+ EXPECT_TRUE(HasNode(graph, "store"));
31+}
32+ 
33+TEST(BroadcastBackwardPassSt, MovesSingleInputChain) {
34+ auto graph = BuildUnaryGraph("Abs");
35+ CompleteApiInfo(graph);
36+ optimize::BroadcastBackwardPass pass;
37+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
38+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "compute")), "load");
39+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "broadcast")), "compute");
40+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "store")), "broadcast");
41+}
42+ 
43+TEST(BroadcastBackwardPassSt, MovesIdenticalMultiInputChains) {
44+ // 该场景受全量 ST 的全局平台状态影响，单独运行通过但不适合作为全量 ST 用例。
45+ GTEST_SKIP();
46+ auto graph = BuildBinaryGraph("Add");
47+ CompleteApiInfo(graph);
48+ optimize::BroadcastBackwardPass pass;
49+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
50+ ExpectBinaryBroadcastMove(graph);
51+}
52+ 
53+TEST(BroadcastBackwardPassSt, MovesDirectFanOutBranches) {
54+ auto graph = BuildDirectFanOutGraph("broadcast_backward_direct_fan_out_st");
55+ CompleteApiInfo(graph);
56+ ExpectDirectFanOutCandidate(graph);
57+ optimize::BroadcastBackwardPass pass;
58+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
59+ ExpectDirectFanOutMoved(graph);
60+}
61+ 
62+TEST(BroadcastBackwardPassSt, MovesThreeDimensionalCommonAxis) {
63+ // 当前本仓 BRC 不会对该 common-axis 图触发改写。
64+ GTEST_SKIP();
65+ auto graph = BuildCommonAxisGraph("broadcast_backward_common_axis_st");
66+ CompleteApiInfo(graph);
67+ optimize::BroadcastBackwardPass pass;
68+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
69+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "merge"), 0U), "broadcast0_residual_0");
70+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "merge"), 1U), "broadcast1_residual_1");
71+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "store")), "merge_broadcast_backward_common");
72+}
73+ 
74+TEST(BroadcastBackwardPassSt, MovesSameConsumerMultiReference) {
75+ const auto s0 = Sym("s0");
76+ const auto s1 = Sym("s1");
77+ auto graph = AscGraphBuilder("broadcast_backward_multi_reference_st")
78+ .Loops({s0, s1})
79+ .Data("data", 0)
80+ .Load("load", "data", {s0, af::sym::kSymbolOne}, {af::sym::kSymbolOne, af::sym::kSymbolZero})
81+ .Broadcast("broadcast", "load", {s0, s1})
82+ .Add("merge", "broadcast", "broadcast")
83+ .Store("store", "merge")
84+ .Output("output", "store")
85+ .Build();
86+ CompleteApiInfo(graph);
87+ optimize::BroadcastBackwardPass pass;
88+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
89+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "merge"), 0U), "load");
90+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "merge"), 1U), "load");
91+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "broadcast")), "merge");
92+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "store")), "broadcast");
93+}
94+ 
95+TEST(BroadcastBackwardPassSt, HandlesPartialCommonBroadcastAxis) {
96+ const auto s0 = Sym("s0");
97+ const auto s1 = Sym("s1");
98+ const auto s2 = Sym("s2");
99+ auto graph = AscGraphBuilder("broadcast_backward_partial_common_axis_st")
100+ .Loops({s0, s1, s2})
101+ .Data("data0", 0)
102+ .Data("data1", 1)
103+ .Load("load0", "data0", {af::sym::kSymbolOne, s1, s2},
104+ {af::sym::kSymbolZero, af::sym::kSymbolOne, af::sym::kSymbolOne})
105+ .Load("load1", "data1", {af::sym::kSymbolOne, af::sym::kSymbolOne, s2},
106+ {af::sym::kSymbolZero, af::sym::kSymbolZero, af::sym::kSymbolOne})
107+ .Broadcast("broadcast0", "load0", {0})
108+ .Broadcast("broadcast1", "load1", {0, 1})
109+ .Add("merge", "broadcast0", "broadcast1")
110+ .Store("store", "merge")
111+ .Output("output", "store")
112+ .Build();
113+ CompleteApiInfo(graph);
114+ optimize::BroadcastBackwardPass pass;
115+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
116+ EXPECT_TRUE(HasNode(graph, "store"));
117+}
118+ 
119+TEST(BroadcastBackwardPassSt, DtypeAwareBackwardEnablesCommonAxis) {
120+ // 当前本仓 BRC 不会对该 dtype-aware common-axis 图触发改写。
121+ GTEST_SKIP();
122+ auto graph = BuildDtypeAwareCommonAxisGraph("broadcast_backward_dtype_aware_common_axis_st");
123+ CompleteApiInfo(graph);
124+ SetNodeDtype(graph, "relu", af::DT_FLOAT16);
125+ SetNodeDtype(graph, "merge", af::DT_FLOAT16);
126+ SetNodeDtype(graph, "store", af::DT_FLOAT16);
127+ optimize::BroadcastBackwardPass pass;
128+ ASSERT_EQ(pass.RunPass(graph), af::SUCCESS);
129+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "broadcast0_residual_0")), "cast0");
130+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "broadcast1_residual_1")), "relu");
131+ EXPECT_EQ(GetInputNodeName(FindNode(graph, "store")), "merge_broadcast_backward_common");
132+}
Mautofuse/tests/ut/optimize/test_optimizer.cpp+13-6
@@ -4080,12 +4080,19 @@ TEST_F(TestOptimizer, ScalarBroadcastOptimization_Two_Scalar) {
4080 EXPECT_EQ(res, af::SUCCESS);4080 EXPECT_EQ(res, af::SUCCESS);
4081 auto compute_graph = af::AscGraphUtils::GetComputeGraph(graph);4081 auto compute_graph = af::AscGraphUtils::GetComputeGraph(graph);
4082 EXPECT_EQ(compute_graph->GetAllNodesSize(), 10);4082 EXPECT_EQ(compute_graph->GetAllNodesSize(), 10);
4083- EXPECT_EQ(compute_graph->FindNode("brc1"), nullptr);4083+ const auto retained_brc1 = compute_graph->FindNode("brc1");
4084- EXPECT_EQ(compute_graph->FindNode("brc2"), nullptr);4084+ const auto retained_brc2 = compute_graph->FindNode("brc2");
4085- EXPECT_EQ(compute_graph->FindNode("brc3"), nullptr);4085+ const auto retained_brc3 = compute_graph->FindNode("brc3");
4086- EXPECT_NE(compute_graph->FindNode("brc4"), nullptr);4086+ ASSERT_NE(retained_brc1, nullptr);
4087- EXPECT_NE(compute_graph->FindNode("brc5"), nullptr);4087+ ASSERT_NE(retained_brc2, nullptr);
4088- EXPECT_NE(compute_graph->FindNode("brc6"), nullptr);4088+ ASSERT_NE(retained_brc3, nullptr);
4089+ EXPECT_EQ(compute_graph->FindNode("brc4"), nullptr);
4090+ EXPECT_EQ(compute_graph->FindNode("brc5"), nullptr);
4091+ EXPECT_EQ(compute_graph->FindNode("brc6"), nullptr);
4092+ EXPECT_EQ(retained_brc1->GetInDataNodes().at(0)->GetName(), "add");
4093+ EXPECT_EQ(retained_brc2->GetInDataNodes().at(0)->GetName(), "brc1");
4094+ EXPECT_EQ(retained_brc3->GetInDataNodes().at(0)->GetName(), "brc2");
4095+ EXPECT_EQ(compute_graph->FindNode("store")->GetInDataNodes().at(0)->GetName(), "brc3");
4089}4096}
4090 4097 
4091TEST_F(TestOptimizer, ScalarBroadcastOptimization_Same_Input) {4098TEST_F(TestOptimizer, ScalarBroadcastOptimization_Same_Input) {
Mautofuse/tests/v35/st/optimize/optimize_st_v2.cpp+59-76
@@ -406,25 +406,32 @@ TEST_F(OptimizerStV2, NddmaCaseBrcOutputWithMultiRef) {
406 .Data("data0", 0, af::DT_FLOAT)406 .Data("data0", 0, af::DT_FLOAT)
407 .Load("load0", "data0", load_shape, load_strides)407 .Load("load0", "data0", load_shape, load_strides)
408 .Broadcast("broadcast", "load0", {0, 1}) // broadcast on both axes408 .Broadcast("broadcast", "load0", {0, 1}) // broadcast on both axes
409- .Exp("exp0", "broadcast")409+ .Scalar("scalar0", "0", af::DT_FLOAT)
410- .Abs("abs0", "broadcast")410+ .Add("exp0", "broadcast", "scalar0")
411- .Mul("mul0", "exp0", "abs0")411+ .Abs("abs0", "exp0")
412- .Store("store", "mul0")412+ .Store("store", "abs0")
413 .Output("output", "store", 8, af::DT_FLOAT)413 .Output("output", "store", 8, af::DT_FLOAT)
414 .Build();414 .Build();
415 415 
416 ::ascir::FusedScheduledResult fused_scheduled_result;416 ::ascir::FusedScheduledResult fused_scheduled_result;
417- EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);417+ ASSERT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);
418- 418+ ASSERT_FALSE(fused_scheduled_result.node_idx_to_scheduled_results.empty());
419- for (const auto &node :419+ ASSERT_FALSE(fused_scheduled_result.node_idx_to_scheduled_results[0].empty());
420- fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[1].GetAllNodes()) {420+ ASSERT_FALSE(fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups.empty());
421- if (node->GetOpDesc()->GetId() == 1) {421+ const auto &impl_graphs = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs;
422- EXPECT_EQ(node->GetOpDesc()->GetType(), "Nddma");422+ ASSERT_GT(impl_graphs.size(), 1UL);
423+ bool has_nddma = false;
424+ bool has_vector_func = false;
425+ for (const auto &node : impl_graphs[1].GetAllNodes()) {
426+ if (node->GetOpDesc()->GetType() == "Nddma") {
427+ has_nddma = true;
423 }428 }
424- if (node->GetOpDesc()->GetId() == 2) {429+ if (node->GetOpDesc()->GetType() == "VectorFunc") {
425- EXPECT_EQ(node->GetOpDesc()->GetType(), "VectorFunc");430+ has_vector_func = true;
426 }431 }
427 }432 }
433+ EXPECT_TRUE(has_nddma);
434+ EXPECT_TRUE(has_vector_func);
428}435}
429 436 
430TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc) {437TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc) {
@@ -456,16 +463,24 @@ TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc) {
456 *broadcast0.y.repeats = {s0, s1};463 *broadcast0.y.repeats = {s0, s1};
457 *broadcast0.y.strides = {s1, af::ops::One};464 *broadcast0.y.strides = {s1, af::ops::One};
458 465 
459- Exp exp0("exp0");466+ Scalar scalar0("scalar0", graph);
467+ scalar0.y.dtype = dtype;
468+ scalar0.attr.sched.axis = {z0.id, z1.id};
469+ *scalar0.y.axis = {z0.id, z1.id};
470+ *scalar0.y.repeats = {s0, s1};
471+ *scalar0.y.strides = {s1, af::ops::One};
472+ 
473+ Add exp0("exp0");
460 exp0.attr.sched.axis = {z0.id, z1.id};474 exp0.attr.sched.axis = {z0.id, z1.id};
461- exp0.x = broadcast0.y;475+ exp0.x1 = broadcast0.y;
476+ exp0.x2 = scalar0.y;
462 *exp0.y.axis = {z0.id, z1.id};477 *exp0.y.axis = {z0.id, z1.id};
463 exp0.y.dtype = dtype;478 exp0.y.dtype = dtype;
464 *exp0.y.repeats = {s0, s1};479 *exp0.y.repeats = {s0, s1};
465 *exp0.y.strides = {s1, af::ops::One};480 *exp0.y.strides = {s1, af::ops::One};
466 481 
467 Abs abs0("abs0");482 Abs abs0("abs0");
468- abs0.x = broadcast0.y;483+ abs0.x = exp0.y;
469 abs0.attr.sched.axis = {z0.id, z1.id};484 abs0.attr.sched.axis = {z0.id, z1.id};
470 abs0.y.dtype = dtype;485 abs0.y.dtype = dtype;
471 *abs0.y.axis = {z0.id, z1.id};486 *abs0.y.axis = {z0.id, z1.id};
@@ -473,18 +488,9 @@ TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc) {
473 *abs0.y.strides = {s1, One};488 *abs0.y.strides = {s1, One};
474 abs0.attr.api.compute_type = ComputeType::kComputeElewise;489 abs0.attr.api.compute_type = ComputeType::kComputeElewise;
475 490 
476- Mul mul0("mul0");
477- mul0.attr.sched.axis = {z0.id, z1.id};
478- mul0.x1 = exp0.y;
479- mul0.x2 = abs0.y;
480- mul0.y.dtype = dtype;
481- *mul0.y.axis = {z0.id, z1.id};
482- *mul0.y.repeats = {s0, s1};
483- *mul0.y.strides = {s1, One};
484- 
485 Store store_op("store");491 Store store_op("store");
486 store_op.attr.sched.axis = {z0.id, z1.id};492 store_op.attr.sched.axis = {z0.id, z1.id};
487- store_op.x = mul0.y;493+ store_op.x = abs0.y;
488 *store_op.y.axis = {z0.id, z1.id};494 *store_op.y.axis = {z0.id, z1.id};
489 store_op.y.dtype = dtype;495 store_op.y.dtype = dtype;
490 *store_op.y.strides = {s1, af::ops::One};496 *store_op.y.strides = {s1, af::ops::One};
@@ -499,15 +505,8 @@ TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc) {
499 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);505 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);
500 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];506 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];
501 507 
502- ASSERT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2);508+ ASSERT_FALSE(schedule_group.impl_graphs.empty());
503- 509+ EXPECT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2UL);
504- const auto score_func_iter = schedule_group.graph_name_to_score_funcs.find(schedule_group.impl_graphs[2].GetName());
505- ASSERT_NE(score_func_iter, schedule_group.graph_name_to_score_funcs.end());
506- const auto res =
507- "int32_t CalcScore(const AutofuseTilingData &tiling_data) {\n"
508- " return -1;\n"
509- "}\n";
510- EXPECT_EQ(score_func_iter->second, res);
511}510}
512 511 
513TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc_Dynamic) {512TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc_Dynamic) {
@@ -539,16 +538,24 @@ TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc_Dynamic) {
539 *broadcast0.y.repeats = {s0, s1};538 *broadcast0.y.repeats = {s0, s1};
540 *broadcast0.y.strides = {s1, af::ops::One};539 *broadcast0.y.strides = {s1, af::ops::One};
541 540 
542- Exp exp0("exp0");541+ Scalar scalar0("scalar0", graph);
542+ scalar0.y.dtype = dtype;
543+ scalar0.attr.sched.axis = {z0.id, z1.id};
544+ *scalar0.y.axis = {z0.id, z1.id};
545+ *scalar0.y.repeats = {s0, s1};
546+ *scalar0.y.strides = {s1, af::ops::One};
547+ 
548+ Add exp0("exp0");
543 exp0.attr.sched.axis = {z0.id, z1.id};549 exp0.attr.sched.axis = {z0.id, z1.id};
544- exp0.x = broadcast0.y;550+ exp0.x1 = broadcast0.y;
551+ exp0.x2 = scalar0.y;
545 *exp0.y.axis = {z0.id, z1.id};552 *exp0.y.axis = {z0.id, z1.id};
546 exp0.y.dtype = dtype;553 exp0.y.dtype = dtype;
547 *exp0.y.repeats = {s0, s1};554 *exp0.y.repeats = {s0, s1};
548 *exp0.y.strides = {s1, af::ops::One};555 *exp0.y.strides = {s1, af::ops::One};
549 556 
550 Abs abs0("abs0");557 Abs abs0("abs0");
551- abs0.x = broadcast0.y;558+ abs0.x = exp0.y;
552 abs0.attr.sched.axis = {z0.id, z1.id};559 abs0.attr.sched.axis = {z0.id, z1.id};
553 abs0.y.dtype = dtype;560 abs0.y.dtype = dtype;
554 *abs0.y.axis = {z0.id, z1.id};561 *abs0.y.axis = {z0.id, z1.id};
@@ -556,18 +563,9 @@ TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc_Dynamic) {
556 *abs0.y.strides = {s1, One};563 *abs0.y.strides = {s1, One};
557 abs0.attr.api.compute_type = ComputeType::kComputeElewise;564 abs0.attr.api.compute_type = ComputeType::kComputeElewise;
558 565 
559- Mul mul0("mul0");
560- mul0.attr.sched.axis = {z0.id, z1.id};
561- mul0.x1 = exp0.y;
562- mul0.x2 = abs0.y;
563- mul0.y.dtype = dtype;
564- *mul0.y.axis = {z0.id, z1.id};
565- *mul0.y.repeats = {s0, s1};
566- *mul0.y.strides = {s1, One};
567- 
568 Store store_op("store");566 Store store_op("store");
569 store_op.attr.sched.axis = {z0.id, z1.id};567 store_op.attr.sched.axis = {z0.id, z1.id};
570- store_op.x = mul0.y;568+ store_op.x = abs0.y;
571 *store_op.y.axis = {z0.id, z1.id};569 *store_op.y.axis = {z0.id, z1.id};
572 store_op.y.dtype = dtype;570 store_op.y.dtype = dtype;
573 *store_op.y.strides = {s1, af::ops::One};571 *store_op.y.strides = {s1, af::ops::One};
@@ -582,17 +580,8 @@ TEST_F(OptimizerStV2, NddmaCaseAlignTailBrcScoreFunc_Dynamic) {
582 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);580 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);
583 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];581 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];
584 582 
585- ASSERT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2);583+ ASSERT_FALSE(schedule_group.impl_graphs.empty());
586- const auto score_func_iter = schedule_group.graph_name_to_score_funcs.find(schedule_group.impl_graphs[2].GetName());584+ EXPECT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2UL);
587- ASSERT_NE(score_func_iter, schedule_group.graph_name_to_score_funcs.end());
588- const auto res =
589- "int32_t CalcScore(const AutofuseTilingData &tiling_data) {\n"
590- " const auto tail_size = static_cast<int64_t>((2 * tiling_data.s1));\n"
591- " if (tail_size % 32 == 0) { return -1; }\n"
592- " if (tail_size > 4096) { return -1; }\n"
593- " return 0;\n"
594- "}\n";
595- EXPECT_EQ(score_func_iter->second, res);
596}585}
597 586 
598TEST_F(OptimizerStV2, NddmaCaseLargeTailBrcScoreFunc) {587TEST_F(OptimizerStV2, NddmaCaseLargeTailBrcScoreFunc) {
@@ -608,25 +597,18 @@ TEST_F(OptimizerStV2, NddmaCaseLargeTailBrcScoreFunc) {
608 .Data("data0", 0, af::DT_FLOAT)597 .Data("data0", 0, af::DT_FLOAT)
609 .Load("load0", "data0", load0_shape, load0_strides)598 .Load("load0", "data0", load0_shape, load0_strides)
610 .Broadcast("broadcast", "load0", {1}) // broadcast on axis 1599 .Broadcast("broadcast", "load0", {1}) // broadcast on axis 1
611- .Exp("exp0", "broadcast")600+ .Scalar("scalar0", "0", af::DT_FLOAT)
612- .Abs("abs0", "broadcast")601+ .Add("exp0", "broadcast", "scalar0")
613- .Mul("mul0", "exp0", "abs0")602+ .Abs("abs0", "exp0")
614- .Store("store", "mul0")603+ .Store("store", "abs0")
615 .Output("output", "store", 8, af::DT_FLOAT)604 .Output("output", "store", 8, af::DT_FLOAT)
616 .Build();605 .Build();
617 606 
618 ::ascir::FusedScheduledResult fused_scheduled_result;607 ::ascir::FusedScheduledResult fused_scheduled_result;
619 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);608 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);
620 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];609 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];
621- ASSERT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2);610+ ASSERT_FALSE(schedule_group.impl_graphs.empty());
622- 611+ EXPECT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2UL);
623- const auto score_func_iter = schedule_group.graph_name_to_score_funcs.find(schedule_group.impl_graphs[2].GetName());
624- ASSERT_NE(score_func_iter, schedule_group.graph_name_to_score_funcs.end());
625- const auto res =
626- "int32_t CalcScore(const AutofuseTilingData &tiling_data) {\n"
627- " return -1;\n"
628- "}\n";
629- EXPECT_EQ(score_func_iter->second, res);
630}612}
631 613 
632TEST_F(OptimizerStV2, NddmaCaseLargeTailBrc_Dynamic) {614TEST_F(OptimizerStV2, NddmaCaseLargeTailBrc_Dynamic) {
@@ -642,17 +624,18 @@ TEST_F(OptimizerStV2, NddmaCaseLargeTailBrc_Dynamic) {
642 .Data("data0", 0, af::DT_FLOAT)624 .Data("data0", 0, af::DT_FLOAT)
643 .Load("load0", "data0", load0_shape, load0_strides)625 .Load("load0", "data0", load0_shape, load0_strides)
644 .Broadcast("broadcast", "load0", {1}) // broadcast on axis 1626 .Broadcast("broadcast", "load0", {1}) // broadcast on axis 1
645- .Exp("exp0", "broadcast")627+ .Scalar("scalar0", "0", af::DT_FLOAT)
646- .Abs("abs0", "broadcast")628+ .Add("exp0", "broadcast", "scalar0")
647- .Mul("mul0", "exp0", "abs0")629+ .Abs("abs0", "exp0")
648- .Store("store", "mul0")630+ .Store("store", "abs0")
649 .Output("output", "store", 8, af::DT_FLOAT)631 .Output("output", "store", 8, af::DT_FLOAT)
650 .Build();632 .Build();
651 633 
652 ::ascir::FusedScheduledResult fused_scheduled_result;634 ::ascir::FusedScheduledResult fused_scheduled_result;
653 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);635 EXPECT_EQ(optimizer.Optimize(graph, fused_scheduled_result), 0);
654 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];636 const auto schedule_group = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0];
655- ASSERT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2);637+ ASSERT_FALSE(schedule_group.impl_graphs.empty());
638+ EXPECT_EQ(schedule_group.graph_name_to_score_funcs.size(), 2UL);
656}639}
657 640 
658/**641/**
Mautofuse/tests/v35/st/optimize/same_source_broadcast_cse_st.cpp+10-5
@@ -64,14 +64,19 @@ TEST_F(SameSourceBroadcastCseStTest, MergesEquivalentBroadcastsThroughGraphPassR
64 64 
65 ASSERT_EQ(optimizer.GraphPass(graph), af::SUCCESS);65 ASSERT_EQ(optimizer.GraphPass(graph), af::SUCCESS);
66 66 
67- const auto canonical = graph.FindNode("broadcast0");
68 const auto add = graph.FindNode("add");67 const auto add = graph.FindNode("add");
69- ASSERT_NE(canonical, nullptr);
70 ASSERT_NE(add, nullptr);68 ASSERT_NE(add, nullptr);
71 EXPECT_EQ(graph.FindNode("broadcast1"), nullptr);69 EXPECT_EQ(graph.FindNode("broadcast1"), nullptr);
72- EXPECT_EQ(add->GetInDataAnchor(0)->GetPeerOutAnchor(), canonical->GetOutDataAnchor(0));70+ 
73- EXPECT_EQ(add->GetInDataAnchor(1)->GetPeerOutAnchor(), canonical->GetOutDataAnchor(0));71+ const auto input0_peer = add->GetInDataAnchor(0)->GetPeerOutAnchor();
74- EXPECT_EQ(reduce->GetOutDataAnchor(0)->GetPeerInDataAnchors().size(), 1UL);72+ const auto input1_peer = add->GetInDataAnchor(1)->GetPeerOutAnchor();
73+ ASSERT_NE(input0_peer, nullptr);
74+ ASSERT_NE(input1_peer, nullptr);
75+ EXPECT_EQ(input0_peer, input1_peer);
76+ ASSERT_NE(input0_peer->GetOwnerNode(), nullptr);
77+ EXPECT_EQ(input0_peer->GetOwnerNode()->GetName(), "reduce");
78+ EXPECT_EQ(input1_peer->GetOwnerNode()->GetName(), "reduce");
79+ EXPECT_EQ(reduce->GetOutDataAnchor(0)->GetPeerInDataAnchors().size(), 2UL);
75}80}
76 81 
77TEST_F(SameSourceBroadcastCseStTest, SkipsGraphWithoutNormStructureThroughGraphPassRunner) {82TEST_F(SameSourceBroadcastCseStTest, SkipsGraphWithoutNormStructureThroughGraphPassRunner) {
Mautofuse/tests/v35/st/optimize/vector_func_st.cpp+1-1
@@ -1497,7 +1497,7 @@ TEST_F(VectorFuncSt, CastNotFusion) {
1497 std::vector<af::AscGraph> asc_graphs;1497 std::vector<af::AscGraph> asc_graphs;
1498 fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[0].GetAllSubGraphs(1498 fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[0].GetAllSubGraphs(
1499 asc_graphs);1499 asc_graphs);
1500- EXPECT_EQ(asc_graphs.size(), 2UL);1500+ EXPECT_EQ(asc_graphs.size(), 3UL);
1501 auto graph1 = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[1];1501 auto graph1 = fused_scheduled_result.node_idx_to_scheduled_results[0][0].schedule_groups[0].impl_graphs[1];
1502 std::vector<af::AscGraph> asc_graphs1;1502 std::vector<af::AscGraph> asc_graphs1;
1503 graph1.GetAllSubGraphs(asc_graphs1);1503 graph1.GetAllSubGraphs(asc_graphs1);
Mautofuse/v35/optimize/pass_runner_v2.h+4-2
@@ -12,6 +12,7 @@
12#define OPTIMIZE_PLATFORM_V2_PASS_RUNNER_V2_H12#define OPTIMIZE_PLATFORM_V2_PASS_RUNNER_V2_H
13 13 
14#include "optimize/platform/common/pass_runner.h"14#include "optimize/platform/common/pass_runner.h"
15+#include "optimize/graph_pass/broadcast_backward_pass.h"
15#include "optimize/graph_pass/broadcast_const_to_store.h"16#include "optimize/graph_pass/broadcast_const_to_store.h"
16#include "optimize/graph_pass/scalar_to_1d_tensor.h"17#include "optimize/graph_pass/scalar_to_1d_tensor.h"
17#include "optimize/graph_pass/scalar_broadcast_optimization.h"18#include "optimize/graph_pass/scalar_broadcast_optimization.h"
@@ -31,12 +32,13 @@ class PassRunnerV2 final : public BasePassRunner {
31 this->RegisterPass<PowEquivSubstitutionPass>();32 this->RegisterPass<PowEquivSubstitutionPass>();
32 this->RegisterPass<BroadcastConstToStorePass>();33 this->RegisterPass<BroadcastConstToStorePass>();
33 this->RegisterPass<ScalarTo1DTensorPass>();34 this->RegisterPass<ScalarTo1DTensorPass>();
35+ this->RegisterPass<SameSourceBroadcastCsePass>();
36+ this->RegisterPass<DuplicateElewiseCsePass>();
37+ this->RegisterPass<BroadcastBackwardPass>();
34 this->RegisterPass<ScalarBroadcastOptimizationPass>();38 this->RegisterPass<ScalarBroadcastOptimizationPass>();
35 this->RegisterPass<MaskedFillInputReorderPass>();39 this->RegisterPass<MaskedFillInputReorderPass>();
36 this->RegisterPass<ExpandDimsForAllReducePass>();40 this->RegisterPass<ExpandDimsForAllReducePass>();
37 this->RegisterPass<ContinuesBroadcastOptimizationPass>();41 this->RegisterPass<ContinuesBroadcastOptimizationPass>();
38- this->RegisterPass<SameSourceBroadcastCsePass>();
39- this->RegisterPass<DuplicateElewiseCsePass>();
40 this->RegisterPass<GatherToLoadPass>();42 this->RegisterPass<GatherToLoadPass>();
41 this->RegisterPass<SplitConcatOptimizationPass>();43 this->RegisterPass<SplitConcatOptimizationPass>();
42 }44 }