change serval variable name and usage related cinn_launch (#38022)

paddle/fluid/framework/paddle2cinn/cinn_compiler.h

@@ -35,8 +35,8 @@ namespace paddle {
 namespace operators {
 namespace details {
 class CinnLaunchContext;
-}
-}
+}  // namespace details
+}  // namespace operators
 
 namespace framework {
 namespace paddle2cinn {

paddle/fluid/operators/cinn/cinn_launch_context.cc

@@ -55,9 +55,11 @@ bool CinnLaunchContext::IsArgumentsInitialized() const {
   return true;
 }
 
-bool CinnLaunchContext::IsVariableUsed(const std::string& paddle_name) const {
-  return paddle2cinn_varmap_.count(paddle_name) > 0 &&
-         cinn_variable_names_.count(paddle2cinn_varmap_.at(paddle_name)) > 0;
+bool CinnLaunchContext::IsVariableUsed(
+    const std::string& paddle_var_name) const {
+  return paddle2cinn_varmap_.count(paddle_var_name) > 0 &&
+         cinn_variable_names_.count(paddle2cinn_varmap_.at(paddle_var_name)) >
+             0;
 }
 
 CinnTensor CinnLaunchContext::GetCinnTensor(const std::string& var_name) {
@@ -76,8 +78,8 @@ std::unordered_set<std::string> CinnLaunchContext::GetInternalVariableNames() {
   return all_parameters;
 }
 
-void CinnLaunchContext::CheckTensorEquivalent(const std::string& paddle_name,
-                                              const LoDTensor& paddle_tensor,
+void CinnLaunchContext::CheckTensorEquivalent(
+    const std::string& paddle_var_name, const LoDTensor& paddle_tensor,
     const CinnTensor& cinn_tensor) {
   // check dimension
   auto cinn_dims = framework::make_ddim(cinn_tensor->shape().data());
@@ -85,22 +87,24 @@ void CinnLaunchContext::CheckTensorEquivalent(const std::string& paddle_name,
                     platform::errors::PreconditionNotMet(
                         "Tensors' shape in variable(%s) are not equivalent, "
                         "paddle's shape = [%s], but cinn's shape = [%s].",
-                        paddle_name, paddle_tensor.dims(), cinn_dims));
+                        paddle_var_name, paddle_tensor.dims(), cinn_dims));
 
   // TODO(CtfGo): check the underlying data type after CINN ready
 }
 
-void CinnLaunchContext::AssignExternalVariable(const std::string& paddle_name) {
-  PADDLE_ENFORCE_EQ(IsVariableUsed(paddle_name), true,
-                    platform::errors::InvalidArgument(
-                        "Paddle variable(%s) not used by cinn", paddle_name));
+void CinnLaunchContext::AssignExternalVariable(
+    const std::string& paddle_var_name) {
+  PADDLE_ENFORCE_EQ(
+      IsVariableUsed(paddle_var_name), true,
+      platform::errors::InvalidArgument("Paddle variable(%s) not used by cinn",
+                                        paddle_var_name));
 
-  const auto& cinn_name = paddle2cinn_varmap_.at(paddle_name);
+  const auto& cinn_var_name = paddle2cinn_varmap_.at(paddle_var_name);
   const auto& paddle_tensor =
-      cached_scope_->GetVar(paddle_name)->Get<LoDTensor>();
-  CinnTensor cinn_tensor = GetCinnTensor(cinn_name);
+      cached_scope_->GetVar(paddle_var_name)->Get<LoDTensor>();
+  CinnTensor cinn_tensor = GetCinnTensor(cinn_var_name);
   if (paddle_tensor.IsInitialized()) {
-    CheckTensorEquivalent(paddle_name, paddle_tensor, cinn_tensor);
+    CheckTensorEquivalent(paddle_var_name, paddle_tensor, cinn_tensor);
   }
 
   auto cinn_buffer = std::make_unique<cinn_buffer_t>();
@@ -108,9 +112,9 @@ void CinnLaunchContext::AssignExternalVariable(const std::string& paddle_name) {
   cinn_buffer->resize(cinn_tensor->shape().data().data(),
                       cinn_tensor->shape().data().size());
   cinn_buffer->external_malloc = new std::function<int(void*, cinn_buffer_t*)>(
-      [this, paddle_name](void* ctx, cinn_buffer_t* buffer) {
+      [this, paddle_var_name](void* ctx, cinn_buffer_t* buffer) {
         auto* tensor =
-            cached_scope_->GetVar(paddle_name)->GetMutable<LoDTensor>();
+            cached_scope_->GetVar(paddle_var_name)->GetMutable<LoDTensor>();
         tensor->Resize(framework::DDim(buffer->dims, buffer->dimensions));
         buffer->memory = reinterpret_cast<uint8_t*>(
             tensor->mutable_data<float>(*cached_place_));
@@ -124,23 +128,25 @@ void CinnLaunchContext::AssignExternalVariable(const std::string& paddle_name) {
         return 0;
       });
 
-  return SetArgument(cinn_name, std::move(cinn_buffer));
+  return SetArgument(cinn_var_name, std::move(cinn_buffer));
 }
 
-void CinnLaunchContext::AssignInternalVariable(const std::string& cinn_name) {
-  PADDLE_ENFORCE_GT(cinn_variable_names_.count(cinn_name), 0,
-                    platform::errors::InvalidArgument(
-                        "Variable(%s) not found in cinn socpe.", cinn_name));
-  CinnTensor cinn_tensor = GetCinnTensor(cinn_name);
+void CinnLaunchContext::AssignInternalVariable(
+    const std::string& cinn_var_name) {
+  PADDLE_ENFORCE_GT(
+      cinn_variable_names_.count(cinn_var_name), 0,
+      platform::errors::InvalidArgument("Variable(%s) not found in cinn socpe.",
+                                        cinn_var_name));
+  CinnTensor cinn_tensor = GetCinnTensor(cinn_var_name);
   auto cinn_buffer = std::make_unique<cinn_buffer_t>();
   // assign dimensions and alloc/free callback of cinn_buffer_t
   cinn_buffer->resize(cinn_tensor->shape().data().data(),
                       cinn_tensor->shape().data().size());
 
   cinn_buffer->external_malloc = new std::function<int(void*, cinn_buffer_t*)>(
-      [this, cinn_name](void* ctx, cinn_buffer_t* buffer) {
+      [this, cinn_var_name](void* ctx, cinn_buffer_t* buffer) {
         auto* tensor =
-            cached_temp_scope_->Var(cinn_name)->GetMutable<LoDTensor>();
+            cached_temp_scope_->Var(cinn_var_name)->GetMutable<LoDTensor>();
         tensor->Resize(framework::DDim(buffer->dims, buffer->dimensions));
         buffer->memory = reinterpret_cast<uint8_t*>(
             tensor->mutable_data<float>(*cached_place_));
@@ -150,22 +156,22 @@ void CinnLaunchContext::AssignInternalVariable(const std::string& cinn_name) {
   // internal variables should release its buffer immediately
   // if no instruction use it
   cinn_buffer->external_free = new std::function<int(void*, cinn_buffer_t*)>(
-      [this, cinn_name](void* ctx, cinn_buffer_t* buffer) {
+      [this, cinn_var_name](void* ctx, cinn_buffer_t* buffer) {
         auto* tensor =
-            cached_temp_scope_->GetVar(cinn_name)->GetMutable<LoDTensor>();
+            cached_temp_scope_->GetVar(cinn_var_name)->GetMutable<LoDTensor>();
         tensor->clear();
         return 0;
       });
-  return SetArgument(cinn_name, std::move(cinn_buffer));
+  return SetArgument(cinn_var_name, std::move(cinn_buffer));
 }
 
-void CinnLaunchContext::SetArgument(const std::string& cinn_name,
+void CinnLaunchContext::SetArgument(const std::string& cinn_var_name,
                                     std::unique_ptr<cinn_buffer_t>&& buffer) {
-  VLOG(4) << "SetArgument-" << name2argument_.size() << ": name(" << cinn_name
-          << "), dims(" << framework::DDim(buffer->dims, buffer->dimensions)
-          << ").";
+  VLOG(4) << "SetArgument-" << name2argument_.size() << ": name("
+          << cinn_var_name << "), dims("
+          << framework::DDim(buffer->dims, buffer->dimensions) << ").";
 
-  name2argument_.emplace(cinn_name, buffer.get());
+  name2argument_.emplace(cinn_var_name, buffer.get());
   hold_buffers_.emplace_back(std::move(buffer));
 }
 

paddle/fluid/operators/cinn/cinn_launch_context.h

@@ -49,13 +49,13 @@ class CinnLaunchContext {
   bool IsArgumentsInitialized() const;
 
   // Return whether a Paddle variable used on compiled kernels
-  bool IsVariableUsed(const std::string& paddle_name) const;
+  bool IsVariableUsed(const std::string& paddle_var_name) const;
 
   // Assign tensor buffer to input or output variables
-  void AssignExternalVariable(const std::string& paddle_name);
+  void AssignExternalVariable(const std::string& paddle_var_name);
 
   // Assign tensor buffer to internal variables
-  void AssignInternalVariable(const std::string& cinn_name);
+  void AssignInternalVariable(const std::string& cinn_var_name);
 
   // Extract internal variable names from CinnScope
   // by excluding used input and output variables
@@ -75,7 +75,7 @@ class CinnLaunchContext {
                              const CinnTensor& cinn_tensor);
 
   // Set an argument with (cinn name)->(cinn_buffer_t) pair
-  void SetArgument(const std::string& cinn_name,
+  void SetArgument(const std::string& cinn_var_name,
                    std::unique_ptr<cinn_buffer_t>&& buffer);
 
  private:

paddle/fluid/operators/cinn/cinn_launch_op.h

@@ -103,7 +103,7 @@ class CinnLaunchOpKernel : public framework::OpKernel<T> {
         compilation_key, inputs_name2tensor, target, stream);
     details::DebugCinnCompiledResult(cinn_compiled_object);
 
-    const auto& launch_context = cinn_compiled_object.launch_context;
+    auto* launch_context = cinn_compiled_object.launch_context.get();
     // Step 3. Prepare arguments needed for the compiled executable program.
     launch_context->UpdateCapturedEnv(scope, place);
     if (!launch_context->IsArgumentsInitialized()) {