[NewIR] Fix new ir unsqueeze op bug (#55212)

* suport optional input in new_ir

* polish code

* add coverate test

* update

* update

* add unitest

* remove reduplicate code

* udpate

* fix assign error

* revert test arg min max

* update

* fix bug

* polish code

* update

* fix unique and close op bug

* update

* update

* revert test code

* revert unique test

* polish code

* remove useless code

---------
Co-authored-by: Nzhangbo9674 <zhangbo54@baidu.com>

paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.cc

@@ -178,6 +178,8 @@ void HandleForSpecialOp(ir::Operation* op,
 
     auto var = CreateVar(out_value, name, scope, local_scope);
     auto tensor_array = var->GetMutable<paddle::framework::TensorRefArray>();
+    // clear tensor array
+    tensor_array->clear();
 
     for (size_t i = 0; i < input_num; ++i) {
       auto value = op->operand(i);
@@ -203,9 +205,11 @@ void HandleForSpecialOp(ir::Operation* op,
     // change opreand name to param_name
 
     auto orig_name = name_map->at(in_ptr);
-    (*name_map)[in_ptr] = param_name;
+    if (scope->FindVar(param_name) == nullptr) {
       scope->Rename(orig_name, param_name);
     }
+    (*name_map)[in_ptr] = param_name;
+  }
 
   if (op_name == "builtin.get_parameter") {
     VLOG(6) << "Handle for builtin.get_parameter:";

paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.h

@@ -33,6 +33,7 @@
 #include "paddle/phi/core/kernel_context.h"
 
 #include "paddle/fluid/ir/dialect/kernel_attribute.h"
+#include "paddle/fluid/ir/dialect/kernel_type.h"
 #include "paddle/fluid/ir/dialect/pd_attribute.h"
 #include "paddle/fluid/ir/interface/op_yaml_info_parser.h"
 #include "paddle/phi/core/infermeta_utils.h"
@@ -109,6 +110,7 @@ void BuildPhiContext(
       ctx->EmplaceBackInput(in_ptr);
       continue;
     }
+
     auto in_var_name = name_map.at(ptr);
     VLOG(6) << "ctx->EmplaceBackInput: " << t << "\t" << in_var_name;
 
@@ -154,9 +156,27 @@ void BuildPhiContext(
       auto& tensor_attr_type = op_yaml_info.TensorAttrTypeName(t);
       VLOG(6) << "ctx->EmplaceBack mutable attr: " << t << "\t" << in_var_name;
       if (tensor_attr_type == "paddle::dialect::IntArrayAttribute") {
+        if (ptr.type().isa<paddle::dialect::AllocatedDenseTensorType>()) {
           phi::Attribute r1 = phi::TensorRef(
               &(inner_scope->FindVar(in_var_name)->Get<phi::DenseTensor>()));
           ctx->EmplaceBackAttr(r1);
+        } else if (ptr.type().isa<ir::VectorType>()) {
+          auto& tensor_array = inner_scope->FindVar(in_var_name)
+                                   ->Get<paddle::framework::TensorRefArray>();
+          if (tensor_array.size() == 1) {
+            ctx->EmplaceBackAttr(phi::TensorRef(tensor_array[0]));
+          } else {
+            std::vector<phi::TensorRef> vec_ref;
+            for (size_t i = 0; i < tensor_array.size(); ++i) {
+              vec_ref.emplace_back(phi::TensorRef(tensor_array[i]));
+            }
+            ctx->EmplaceBackAttr(vec_ref);
+          }
+        } else {
+          PADDLE_THROW(phi::errors::Unimplemented(
+              " [%s] only support dense tensor and vector type  ",
+              tensor_attr_type));
+        }
       } else if (tensor_attr_type == "paddle::dialect::ScalarAttribute") {
         phi::Attribute r1 = phi::TensorRef(
             &(inner_scope->FindVar(in_var_name)->Get<phi::DenseTensor>()));

paddle/fluid/ir_adaptor/translator/op_compat_info.h

@@ -81,6 +81,7 @@ class OpNameNormalizer {
                                const std::string& arg_name) {
     bool is_grad_op = (op_type.find(kPhiGradSuffix) != std::string::npos);
     bool is_grad_arg = (arg_name.find(kPhiGradSuffix) != std::string::npos);
+
     if (is_grad_op && is_grad_arg) {
       std::string target = kPhiGradSuffix;
       std::string data = kFluidVarGradSuffix;

paddle/fluid/ir_adaptor/translator/op_translator.cc

@@ -622,6 +622,7 @@ void OpTranscriber::RecordOpResultMapping(TranslationContext* param_map,
           generated_by_vector = false;
         }
       }
+
       (*param_map)[arg_name] = VariableDefiningInfo(
           value, generated_by_vector, generated_by_vector ? idx_in_vector : -1);
       idx_in_vector++;

paddle/phi/api/yaml/op_compat.yaml

@@ -2530,6 +2530,7 @@
   int_array:
       sections :
           data_type : int
+          tensor_name : AxesTensor
 
 - op : sqrt
   backward : sqrt_grad, sqrt_double_grad (sqrt_grad_grad)

paddle/phi/common/int_array.cc

@@ -43,6 +43,56 @@ IntArrayBase<phi::DenseTensor>::IntArrayBase(
   }
 }
 
+template <>
+IntArrayBase<phi::DenseTensor>::IntArrayBase(
+    const std::vector<phi::TensorRef>& tensor_ref_list) {
+  is_from_tensor_ = true;
+  for (size_t i = 0; i < tensor_ref_list.size(); ++i) {
+    DataType data_type = tensor_ref_list[i].Get()->dtype();
+    switch (data_type) {
+      case DataType::INT32:
+        if (tensor_ref_list[i].Get()->place().GetType() ==
+            AllocationType::CPU) {
+          array_.push_back(*tensor_ref_list[i].Get()->template data<int32_t>());
+        } else {
+          phi::DenseTensor tensor_tmp;
+          phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+          auto dev_ctx = pool.Get(tensor_ref_list[i].Get()->place());
+          phi::Copy(*dev_ctx,
+                    *(tensor_ref_list[i].Get()),
+                    CPUPlace(),
+                    true,
+                    &tensor_tmp);
+          array_.push_back(*tensor_tmp.template data<int32_t>());
+        }
+        break;
+      case DataType::INT64:
+        if (tensor_ref_list[i].Get()->place().GetType() ==
+            AllocationType::CPU) {
+          array_.push_back(*tensor_ref_list[i].Get()->template data<int64_t>());
+        } else {
+          phi::DenseTensor tensor_tmp;
+          phi::DeviceContextPool& pool = phi::DeviceContextPool::Instance();
+          auto dev_ctx = pool.Get(tensor_ref_list[i].Get()->place());
+          phi::Copy(*dev_ctx,
+                    *(tensor_ref_list[i].Get()),
+                    CPUPlace(),
+                    true,
+                    &tensor_tmp);
+          array_.push_back(*tensor_tmp.template data<int64_t>());
+        }
+        break;
+      default:
+        PD_THROW(
+            "Data type error. Currently, The data type of IntArrayBase "
+            "only supports Tensor with int32 and int64, "
+            "but now received `",
+            data_type,
+            "`.");
+    }
+  }
+}
+
 template <>
 IntArrayBase<phi::DenseTensor>::IntArrayBase(
     const std::vector<phi::DenseTensor>& tensor_list) {

paddle/phi/common/int_array.h

@@ -18,6 +18,7 @@ limitations under the License. */
 
 #include "paddle/phi/api/ext/exception.h"
 #include "paddle/phi/common/data_type.h"
+#include "paddle/phi/common/tensor_ref.h"
 
 namespace phi {
 class DDim;
@@ -62,6 +63,8 @@ class IntArrayBase {
   // The Tensor in vec must have only one element
   IntArrayBase(const std::vector<T>& tensor_list);  // NOLINT
 
+  explicit IntArrayBase(const std::vector<phi::TensorRef>& tensor_ref_list);
+
   template <typename OtherT>
   IntArrayBase(const IntArrayBase<OtherT>& other) : array_(other.GetData()) {}
 
@@ -87,6 +90,7 @@ class IntArrayBase {
 
   void AssignDataFromTensor(const T& tensor) {
     size_t n = tensor.numel();
+
     array_.reserve(n);
     switch (tensor.dtype()) {
       case DataType::INT32:

paddle/phi/common/tensor_ref.h

@@ -21,10 +21,10 @@
 
 #include "paddle/phi/api/ext/exception.h"
 #include "paddle/phi/common/data_type.h"
+#include "paddle/phi/core/dense_tensor.h"
 #include "paddle/phi/core/enforce.h"
 
 namespace phi {
-class TensorBase;
 
 // In static model pre analysis, we can't get the data from tensor
 class TensorRef {

paddle/phi/core/attribute.h

@@ -48,7 +48,8 @@ using Attribute = paddle::variant<bool,
                                   DataType,
                                   DataLayout,
                                   Place,
-                                  TensorRef>;
+                                  TensorRef,
+                                  std::vector<TensorRef>>;
 
 using AttributeMap = paddle::flat_hash_map<std::string, Attribute>;
 

paddle/phi/core/infermeta_utils.cc

@@ -159,6 +159,8 @@ template const DataType& InferMetaContext::AttrAt(size_t idx) const;
 template const DataLayout& InferMetaContext::AttrAt(size_t idx) const;
 template const Place& InferMetaContext::AttrAt(size_t idx) const;
 template const TensorRef& InferMetaContext::AttrAt(size_t idx) const;
+template const std::vector<TensorRef>& InferMetaContext::AttrAt(
+    size_t idx) const;
 
 MetaFnFactory& MetaFnFactory::Instance() {
   static MetaFnFactory g_meta_fn_map;

paddle/phi/core/infermeta_utils.h

@@ -118,8 +118,7 @@ class InferMetaContext {
     }                                                                          \
   }
 
-#define PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_SCALAR_INTARRAY(        \
-    attr_type)                                                                 \
+#define PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_SCALAR(attr_type)       \
   template <typename... Tail>                                                  \
   struct InferMetaFnCallHelper<const attr_type&, Tail...> {                    \
     template <int in_idx, int attr_idx, int out_idx, typename... PreviousArgs> \
@@ -141,6 +140,32 @@ class InferMetaContext {
     }                                                                          \
   }
 
+#define PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_INTARRAY(attr_type)     \
+  template <typename... Tail>                                                  \
+  struct InferMetaFnCallHelper<const attr_type&, Tail...> {                    \
+    template <int in_idx, int attr_idx, int out_idx, typename... PreviousArgs> \
+    static void Call(InferMetaContext* ctx, PreviousArgs&... pargs) {          \
+      static_assert(out_idx == 0,                                              \
+                    "InferMeta's Attributes should appear before Outputs.");   \
+      const Attribute& t = ctx->AttrAt(attr_idx);                              \
+      static Attribute cmp_t = phi::TensorRef(nullptr);                        \
+      static Attribute vec_ref =                                               \
+          std::vector<phi::TensorRef>({phi::TensorRef(nullptr)});              \
+      attr_type attr1;                                                         \
+      if (cmp_t.index() == t.index()) {                                        \
+        attr1 = attr_type((*paddle::get<phi::TensorRef>(t).Get()));            \
+      } else if (vec_ref.index() == t.index()) {                               \
+        attr1 = attr_type(paddle::get<std::vector<phi::TensorRef>>(t));        \
+      } else {                                                                 \
+        attr1 = paddle::get<attr_type>(t);                                     \
+      }                                                                        \
+      InferMetaFnCallHelper<                                                   \
+          Tail...>::template Call<in_idx, attr_idx + 1, out_idx>(ctx,          \
+                                                                 pargs...,     \
+                                                                 attr1);       \
+    }                                                                          \
+  }
+
 template <typename T>
 struct InferMetaTypeTag {};
 
@@ -222,8 +247,8 @@ struct InferMetaFnImpl<Return (*)(Args...), infer_meta_fn> {
   PD_SPECIALIZE_InferMetaFnCallHelper_FOR_ATTRIBUTE(Backend);
   PD_SPECIALIZE_InferMetaFnCallHelper_FOR_ATTRIBUTE(DataLayout);
   PD_SPECIALIZE_InferMetaFnCallHelper_FOR_CONST_ATTRIBUTE_REF(std::string);
-  PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_SCALAR_INTARRAY(Scalar);
-  PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_SCALAR_INTARRAY(IntArray);
+  PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_SCALAR(Scalar);
+  PD_SPECIALIZE_InferMetaFnCallHelper_FOR_TENSOR_INTARRAY(IntArray);
   PD_SPECIALIZE_InferMetaFnCallHelper_FOR_CONST_ATTRIBUTE_REF(
       std::vector<bool>);
   PD_SPECIALIZE_InferMetaFnCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<int>);

paddle/phi/core/kernel_context.cc

@@ -147,5 +147,6 @@ template const DataType& KernelContext::AttrAt(size_t idx) const;
 template const DataLayout& KernelContext::AttrAt(size_t idx) const;
 template const Place& KernelContext::AttrAt(size_t idx) const;
 template const TensorRef& KernelContext::AttrAt(size_t idx) const;
+template const std::vector<TensorRef>& KernelContext::AttrAt(size_t idx) const;
 
 }  // namespace phi

paddle/phi/core/kernel_utils.h

@@ -221,7 +221,7 @@ namespace phi {
     }                                                                         \
   }
 
-#define PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_SCALAR_INTARRAY(attr_type) \
+#define PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_SCALAR(attr_type)       \
   template <typename... Tail>                                             \
   struct KernelCallHelper<const attr_type&, Tail...> {                    \
     template <int dev_ctx_idx,                                            \
@@ -246,6 +246,34 @@ namespace phi {
     }                                                                     \
   }
 
+#define PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_INTARRAY(attr_type)     \
+  template <typename... Tail>                                             \
+  struct KernelCallHelper<const attr_type&, Tail...> {                    \
+    template <int dev_ctx_idx,                                            \
+              int in_idx,                                                 \
+              int attr_idx,                                               \
+              int out_idx,                                                \
+              typename... PreviousArgs>                                   \
+    static void Compute(KernelContext* ctx, PreviousArgs&... pargs) {     \
+      static_assert(out_idx == 0,                                         \
+                    "Kernel's Attributes should appear before Outputs."); \
+      const Attribute& t = ctx->AttrAt(attr_idx);                         \
+      static Attribute cmp_t = phi::TensorRef(nullptr);                   \
+      static Attribute vec_ref =                                          \
+          std::vector<phi::TensorRef>({phi::TensorRef(nullptr)});         \
+      attr_type attr1;                                                    \
+      if (cmp_t.index() == t.index()) {                                   \
+        attr1 = attr_type(*paddle::get<phi::TensorRef>(t).Get());         \
+      } else if (vec_ref.index() == t.index()) {                          \
+        attr1 = attr_type(paddle::get<std::vector<phi::TensorRef>>(t));   \
+      } else {                                                            \
+        attr1 = paddle::get<attr_type>(t);                                \
+      }                                                                   \
+      KernelCallHelper<Tail...>::                                         \
+          template Compute<dev_ctx_idx, in_idx, attr_idx + 1, out_idx>(   \
+              ctx, pargs..., attr1);                                      \
+    }                                                                     \
+  }
 template <typename T>
 struct TypeTag {};
 
@@ -325,8 +353,8 @@ struct KernelImpl<Return (*)(DevCtx, Args...), kernel_fn> {
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(DataLayout);
   PD_SPECIALIZE_KernelCallHelper_FOR_ATTRIBUTE(Place);
   PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::string);
-  PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_SCALAR_INTARRAY(Scalar);
-  PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_SCALAR_INTARRAY(IntArray);
+  PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_SCALAR(Scalar);
+  PD_SPECIALIZE_KernelCallHelper_FOR_TENSOR_INTARRAY(IntArray);
   PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<bool>);
   PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<int>);
   PD_SPECIALIZE_KernelCallHelper_FOR_CONST_ATTRIBUTE_REF(std::vector<int64_t>);