【Error Message No.22】 paddle/cinn/hlir/framework/* (#64651)

enkilee · web-flow · commit 10f33a4b5c4b · 2024-05-30T11:44:57.000+08:00
* fix

* fix

* fix

* fix
diff --git a/paddle/cinn/hlir/framework/graph_compiler.cc b/paddle/cinn/hlir/framework/graph_compiler.cc
@@ -33,7 +33,7 @@
 #include "paddle/cinn/utils/profiler.h"
 
 #include "paddle/cinn/ast_gen_ius/tensor_group.h"
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -412,7 +412,11 @@ std::vector<ir::LoweredFunc> GetFuncFromImpl(
   VLOG(3) << "input_output_nodes.size() is: " << input_output_nodes.size()
           << ", all_arg_tensors.size() is: " << all_arg_tensors.size();
   std::vector<ir::LoweredFunc> funcs_after_schedule;
-  CHECK_GE(funcs.size(), expr_pack.size());
+  PADDLE_ENFORCE_GE(
+      funcs.size(),
+      expr_pack.size(),
+      phi::errors::InvalidArgument(
+          "The number of funcs should not less than expr_pack's"));
   if (funcs.size() > expr_pack.size() ||
       all_arg_tensors.size() > input_output_nodes.size()) {
     for (int i = 0; i < funcs.size(); i++) {
@@ -432,7 +436,11 @@ std::vector<ir::LoweredFunc> GetFuncFromImpl(
     PADDLE_THROW(phi::errors::InvalidArgument(
         "The number of funcs should not less than expr_pack's"));
   }
-  CHECK_EQ(funcs_after_schedule.size(), expr_pack.size());
+  PADDLE_ENFORCE_EQ(funcs_after_schedule.size(),
+                    expr_pack.size(),
+                    phi::errors::InvalidArgument(
+                        "The number of funcs after schedule should be equal to "
+                        "expr_pack's"));
   std::vector<ir::LoweredFunc> res;
   for (int i = 0; i < funcs_after_schedule.size(); i++) {
     cinn::common::DefaultDeviceTarget().arch.Match(
diff --git a/paddle/cinn/hlir/framework/instruction.cc b/paddle/cinn/hlir/framework/instruction.cc
@@ -21,7 +21,7 @@
 #include "paddle/cinn/hlir/framework/accuracy_checker.h"
 #include "paddle/cinn/runtime/flags.h"
 #include "paddle/cinn/utils/profiler.h"
-
+#include "paddle/common/enforce.h"
 PD_DECLARE_bool(cinn_sync_run);
 PD_DECLARE_string(cinn_self_check_accuracy);
 
@@ -90,8 +90,10 @@ void Instruction::UpdateArgsCache(
 
     if (name2podargs != nullptr) {
       for (const auto& arg : all_args) {
-        CHECK_NE(name2podargs->count(arg), 0)
-            << "Argument [" << arg << "] not found in the name2podargs";
+        PADDLE_ENFORCE_NE(name2podargs->count(arg),
+                          0,
+                          phi::errors::InvalidArgument(
+                              "Argument not found in the name2podargs"));
         VLOG(5) << "Get a argument, name=" << arg
                 << ",type_code=" << name2podargs->at(arg).type_code();
         builder.Add(name2podargs->at(arg));
@@ -354,11 +356,17 @@ void Instruction::Run(
                                            pod_args[1],
                                            static_cast<cudaStream_t>(stream));
     } else if (function_name_ == "softmax") {
-      CHECK_EQ(pod_args.size(), 3);
+      PADDLE_ENFORCE_EQ(pod_args.size(),
+                        3,
+                        phi::errors::InvalidArgument(
+                            "The pod_args size of softmax should be 3"));
       runtime::cuda::cinn_gpu_cudnn_softmax(
           attrs, pod_args[0], pod_args[1], static_cast<cudaStream_t>(stream));
     } else if (function_name_ == "mul") {
-      CHECK_EQ(pod_args.size(), 4);
+      PADDLE_ENFORCE_EQ(
+          pod_args.size(),
+          4,
+          phi::errors::InvalidArgument("The pod_args size of mul should be 4"));
       runtime::cuda::cinn_gpu_cublas_mul(attrs,
                                          pod_args[0],
                                          pod_args[1],
diff --git a/paddle/cinn/hlir/framework/instruction.h b/paddle/cinn/hlir/framework/instruction.h
@@ -26,7 +26,7 @@
 #endif
 #include "paddle/cinn/utils/string.h"
 #include "paddle/cinn/utils/timer.h"
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -89,16 +89,29 @@ class Instruction {
 
   void PreRun(
       const std::map<std::string, cinn_pod_value_t>* name2podargs = nullptr) {
-    CHECK_EQ(fn_ptrs_.size(), 4);
+    PADDLE_ENFORCE_EQ(
+        fn_ptrs_.size(),
+        4,
+        phi::errors::InvalidArgument("The number of functions should be 4"));
     if (fn_ptrs_.size() > 1 && fn_ptrs_.size() != in_args_.size()) {
       out_args_.back()[0] = out_args_.front()[0];
       out_args_.erase(out_args_.begin());
       in_args_.erase(in_args_.begin());
     }
     UpdateArgsCache(name2podargs);
 
-    CHECK_EQ(fn_ptrs_.size(), in_args_.size());
-    CHECK_EQ(fn_ptrs_.size(), out_args_.size());
+    PADDLE_ENFORCE_EQ(
+        fn_ptrs_.size(),
+        in_args_.size(),
+        phi::errors::InvalidArgument(
+            "The number of functions should be equal to the number of "
+            "in_args"));
+    PADDLE_ENFORCE_EQ(
+        fn_ptrs_.size(),
+        out_args_.size(),
+        phi::errors::InvalidArgument(
+            "The number of functions should be equal to the number of "
+            "out_args"));
 
     int flag = -1;
     void* stream = nullptr;
diff --git a/paddle/cinn/hlir/framework/node.cc b/paddle/cinn/hlir/framework/node.cc
@@ -14,9 +14,10 @@
 #include <algorithm>
 
 #include "paddle/cinn/common/context.h"
+
 #include "paddle/cinn/hlir/dialect/operator/ir/symbol_bindings.h"
 #include "paddle/cinn/hlir/framework/node.h"
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -90,8 +91,12 @@ std::ostream& operator<<(std::ostream& os, const NodeAttr& node_attr) {
 bool edge_index_compare(
     const cinn::common::Shared<cinn::common::GraphEdge>& a,
     const cinn::common::Shared<cinn::common::GraphEdge>& b) {
-  CHECK_NOTNULL(a.get());
-  CHECK_NOTNULL(b.get());
+  PADDLE_ENFORCE_NOT_NULL(
+      a.get(),
+      phi::errors::InvalidArgument("The input edge should not be nullptr."));
+  PADDLE_ENFORCE_NOT_NULL(
+      b.get(),
+      phi::errors::InvalidArgument("The input edge should not be nullptr."));
   return a->index() < b->index();
 }
 
@@ -100,9 +105,13 @@ Node::inlinks_in_order() const {
   std::vector<cinn::common::Shared<cinn::common::GraphEdge>> ordered_links;
   for (auto& in_edge : this->inlinks()) {
     ordered_links.push_back(in_edge);
-    CHECK_GE(in_edge->index(), 0)
-        << "The index of a node's inlinks should be >= 0! Now index is: "
-        << in_edge->index() << ". Please check.";
+    PADDLE_ENFORCE_GE(
+        in_edge->index(),
+        0,
+        phi::errors::InvalidArgument(
+            "The index of a node's inlinks should be >= 0! Now index is: %d. "
+            "Please check.",
+            in_edge->index()));
   }
   std::sort(ordered_links.begin(), ordered_links.end(), edge_index_compare);
   return ordered_links;
@@ -113,9 +122,13 @@ Node::outlinks_in_order() const {
   std::vector<cinn::common::Shared<cinn::common::GraphEdge>> ordered_links;
   for (auto& out_edge : this->outlinks()) {
     ordered_links.push_back(out_edge);
-    CHECK_GE(out_edge->index(), 0)
-        << "The index of a node's outlinks should be >= 0! Now index is: "
-        << out_edge->index() << ". Please check.";
+    PADDLE_ENFORCE_GE(
+        out_edge->index(),
+        0,
+        phi::errors::InvalidArgument(
+            "The index of a node's outlinks should be >= 0! Now index is: %d. "
+            "Please check.",
+            out_edge->index()));
   }
   std::sort(ordered_links.begin(), ordered_links.end(), edge_index_compare);
   return ordered_links;
diff --git a/paddle/cinn/hlir/framework/op.h b/paddle/cinn/hlir/framework/op.h
@@ -28,7 +28,7 @@
 #include "paddle/cinn/common/macros.h"
 #include "paddle/cinn/utils/registry.h"
 #include "paddle/cinn/utils/type_defs.h"
-
+#include "paddle/common/enforce.h"
 template <typename R, typename... Args>
 inline auto MakeOpFunction(R (*func)(Args...)) {
   return std::function<R(Args...)>(func);
@@ -209,9 +209,10 @@ template <typename ValueType>
 const ValueType& OpValueType<ValueType>::operator[](const Operator* op) const {
   CHECK(op) << "The input op is nullptr and it is invalid! Please check again.";
   const uint32_t idx = op->index;
-  CHECK_LT(idx, data.size())
-      << "Attribute " << attr_name << " has not been registered for Operator "
-      << op->name;
+  PADDLE_ENFORCE_LT(idx,
+                    data.size(),
+                    phi::errors::InvalidArgument(
+                        "Attribute  has not been registered for Operator"));
   return data[idx];
 }
 
diff --git a/paddle/cinn/hlir/framework/op_lowering_test.cc b/paddle/cinn/hlir/framework/op_lowering_test.cc
@@ -24,7 +24,7 @@
 #include "paddle/cinn/backends/nvrtc/nvrtc_util.h"
 #include "paddle/cinn/common/target.h"
 #include "paddle/cinn/frontend/decomposer/test_helper.h"
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -75,7 +75,10 @@ void Compile(NetBuilder& net_builder) {  // NOLINT
   auto op_lowerer = CreateOpLowerer(dtype_dict, shape_dict, target);
   for (auto& fusion_op : graph->fusion_groups) {
     auto lowered_func = op_lowerer.Lower(fusion_op);
-    CHECK_EQ(lowered_func.size(), 1);
+    PADDLE_ENFORCE_EQ(
+        lowered_func.size(),
+        1,
+        phi::errors::InvalidArgument("The size of lowered_func should be 1."));
     CodeGen(lowered_func[0]);
   }
 }
diff --git a/paddle/cinn/hlir/framework/op_lowering_util.cc b/paddle/cinn/hlir/framework/op_lowering_util.cc
@@ -21,7 +21,7 @@
 #include "paddle/cinn/common/float16.h"
 #endif
 #include <queue>
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -198,7 +198,9 @@ std::vector<int> GetInputShape(
                            << node->id() << "\"";
 
   auto* producer_data = in_links.front()->source()->safe_as<NodeData>();
-  CHECK_NOTNULL(producer_data);
+  PADDLE_ENFORCE_NOT_NULL(producer_data,
+                          phi::errors::InvalidArgument(
+                              "The input node data should not be nullptr."));
   return shape_dict.at(producer_data->id());
 }
 
@@ -585,7 +587,10 @@ void LoopOrderAssignReduce(ir::IRSchedule& ir_sch,  // NOLINT
         ir_sch.Split(loops[index], {-1, idx});
         break;
       }
-      CHECK_GT(idx, 1);
+      PADDLE_ENFORCE_GT(idx,
+                        1,
+                        phi::errors::InvalidArgument(
+                            "Cannot find the split factor for loop."));
     }
   }
 
@@ -777,7 +782,11 @@ void LoopAssignReduceWithLast(ir::IRSchedule& ir_sch,  // NOLINT
         --idx;
       } while (idx >= max_num_threads / 2);
       // if can't be divide by(1024, 512), it's shouldn't be fused.
-      CHECK_GE(idx, max_num_threads / 2) << "Check bounds exist, can't fuse!";
+      PADDLE_ENFORCE_GE(
+          idx,
+          max_num_threads / 2,
+          phi::errors::InvalidArgument(
+              "Error! Can't be divide by(1024, 512), Please check!"));
     } else {
       int axis = axes[index];
       int prefix = inshape[axis];
@@ -788,8 +797,11 @@ void LoopAssignReduceWithLast(ir::IRSchedule& ir_sch,  // NOLINT
           ir_sch.Split(block_name, axis, {-1, idx});
           break;
         }
-        CHECK_GT(idx, (max_num_threads / 2) / tail)
-            << "Error, it's shouldn't fuse!";
+        PADDLE_ENFORCE_GT(
+            idx,
+            (max_num_threads / 2) / tail,
+            phi::errors::InvalidArgument(
+                "Error! Can't be divide by(1024, 512), Please check!"));
       }
     }
     LoopOrderAssignReduce(ir_sch, block_name, first_axes, target);
@@ -1227,8 +1239,16 @@ void MergeLoops(ir::Expr root,
   if (index < 0) {
     return;
   }
-  CHECK_GT(src.size(), index) << "\nindex -> " << index << "\n" << src[0];
-  CHECK_GT(dst.size(), index) << "\nindex -> " << index << "\n" << dst[0];
+  PADDLE_ENFORCE_GT(
+      src.size(),
+      index,
+      phi::errors::InvalidArgument(
+          "The index of src should be less than the size of src."));
+  PADDLE_ENFORCE_GT(
+      dst.size(),
+      index,
+      phi::errors::InvalidArgument(
+          "The index of dst should be less than the size of dst."));
 
   if (src[0] == dst[0]) {
     return;
@@ -1393,7 +1413,10 @@ void MergeReduceToReduce(
             auto n_loops = ir_sch.GetLoops(n_tensor->name + "__reduce_init");
             auto m_loops = ir_sch.GetLoops(m_tensor->name + "__reduce_init");
 
-            CHECK_EQ(n_loops.size(), m_loops.size());
+            PADDLE_ENFORCE_EQ(n_loops.size(),
+                              m_loops.size(),
+                              phi::errors::InvalidArgument(
+                                  "The size of loops should be equal."));
             MergeLoops(ir_sch.GetModule().GetExprs().at(0),
                        n_loops,
                        m_loops,
@@ -1472,7 +1495,10 @@ void MergeReduceToReduce(
 
         auto n_loops = ir_sch.GetLoops(n_tensor->name);
         auto m_loops = ir_sch.GetLoops(m_tensor->name);
-        CHECK_EQ(n_loops.size(), m_loops.size());
+        PADDLE_ENFORCE_EQ(
+            n_loops.size(),
+            m_loops.size(),
+            phi::errors::InvalidArgument("The size of loops should be equal."));
 
         std::vector<ir::Var> src_vars;
         std::vector<ir::Expr> dst_vars;
diff --git a/paddle/cinn/hlir/framework/pass.cc b/paddle/cinn/hlir/framework/pass.cc
@@ -16,7 +16,7 @@
 
 #include "paddle/cinn/hlir/framework/visualize_helper.h"
 #include "paddle/cinn/hlir/pass/use_pass.h"
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -32,9 +32,12 @@ void ApplyPasses(Graph* g, const std::vector<std::string>& passes) {
   for (auto* r : fpass) {
     cinn::hlir::framework::PassPrinter::GetInstance()->PassBegin(r->name, g);
     for (auto& dep : r->graph_attr_dependency) {
-      CHECK_NE(g->attrs.count(dep), 0)
-          << "To apply pass [" << r->name << "], Graph's attribute [" << dep
-          << "] is required, but it is not available.";
+      PADDLE_ENFORCE_NE(
+          g->attrs.count(dep),
+          0,
+          phi::errors::InvalidArgument("To apply pass, Graph's attribute is "
+                                       "required, but it is not available."));
+
       if (g->attrs.count(dep) == 0) {
         auto* pass_dep = FindPassDep(dep);
         CHECK(!pass_dep) << "And the attribute is provided by pass ["
diff --git a/paddle/cinn/hlir/framework/pir/compilation_task.cc b/paddle/cinn/hlir/framework/pir/compilation_task.cc
@@ -18,7 +18,6 @@
 #include "paddle/cinn/common/target.h"
 #include "paddle/cinn/hlir/framework/op_lowering.h"
 #include "paddle/common/enforce.h"
-
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -61,7 +60,11 @@ void CompilationTask::Lowering() {
 std::shared_ptr<pir::CompilationResult> CompilationTask::CodegenAndJit() {
   ir::Module::Builder builder(cinn::common::UniqName("module"),
                               context_->target_);
-  CHECK_EQ(context_->predicates_.size(), context_->lowered_funcs_.size());
+  PADDLE_ENFORCE_EQ(context_->predicates_.size(),
+                    context_->lowered_funcs_.size(),
+                    phi::errors::InvalidArgument(
+                        "The size of predicates and lowered_funcs should be "
+                        "the same."));
   for (const ir::Expr& predicate : context_->predicates_) {
     builder.AddPredicate(predicate);
   }
diff --git a/paddle/cinn/hlir/framework/pir/group.cc b/paddle/cinn/hlir/framework/pir/group.cc
@@ -13,7 +13,7 @@
 // limitations under the License.
 
 #include "paddle/cinn/hlir/framework/pir/group.h"
-
+#include "paddle/common/enforce.h"
 namespace cinn {
 namespace hlir {
 namespace framework {
@@ -22,8 +22,10 @@ namespace pir {
 std::shared_ptr<Group> Group::Clone(::pir::Block* target_block,
                                     ::pir::IrMapping& ir_mapping,
                                     const Options& option) const {
-  CHECK_EQ(option.OnlyCloneOps(), true)
-      << "Only Support Clone Group ops information.";
+  PADDLE_ENFORCE_EQ(option.OnlyCloneOps(),
+                    true,
+                    phi::errors::InvalidArgument(
+                        "OnlyCloneOps is the only supported option."));
   std::vector<::pir::Operation*> new_ops;
   // Mapper from original to new ops.
   std::unordered_map<::pir::Operation*, ::pir::Operation*> ops_mapper;
diff --git a/paddle/cinn/hlir/framework/pir/op_lowering_impl.cc b/paddle/cinn/hlir/framework/pir/op_lowering_impl.cc
diff --git a/paddle/cinn/hlir/framework/pir/op_lowering_util.cc b/paddle/cinn/hlir/framework/pir/op_lowering_util.cc
