[AutoParallel] Polish DistTensor details

paddle/fluid/pybind/eager.cc

@@ -298,13 +298,13 @@ void InitDistTensorWithTensor(
     std::shared_ptr<phi::DenseTensor> tensor =
         std::static_pointer_cast<phi::DenseTensor>(src.impl());
     self->tensor.set_impl(std::make_shared<DistTensor>(tensor, dist_attr));
-    VLOG(4) << "Same place, do ShareDataWith";
+    VLOG(4) << "Same place, do ShareDataWith for DistTensor.";
   } else {
     std::shared_ptr<phi::DenseTensor> tensor =
         std::static_pointer_cast<phi::DenseTensor>(
             src.copy_to(place, true).impl());
     self->tensor.set_impl(std::make_shared<DistTensor>(tensor, dist_attr));
-    VLOG(4) << "Different place, do TensorCopy";
+    VLOG(4) << "Different place, do TensorCopy for DistTensor.";
   }
   if (src.get_autograd_meta()) {
     egr::EagerUtils::autograd_meta(&(self->tensor))
@@ -721,7 +721,7 @@ void AutoInitStringTensorByStringTensor(
  * ** zero_copy: bool,
  * ** name: std::string,
  * ** stop_gradient: bool,
- * ** dist_attr: phi::distributed::TensorDistAttr)
+ * ** dist_attr: phi::distributed::auto_parallel::TensorDistAttr)
  * 4.
  * def __init__ (
  * ** value: ndarray)
@@ -735,7 +735,7 @@ void AutoInitStringTensorByStringTensor(
  * ** tensor: Tensor,
  * ** place: paddle::platform::Place,
  * ** name: std::string,
- * ** dist_attr: phi::distributed::TensorDistAttr)
+ * ** dist_attr: phi::distributed::auto_parallel::TensorDistAttr)
  * 7. (multi-place) (should have at least one parameter, one parameter similar
  * to case 5, zero parameter equals to case 1.)
  * def __init__ (

paddle/fluid/pybind/eager_method.cc

@@ -803,7 +803,7 @@ static PyObject* tensor_method_get_underline_tensor(TensorObject* self,
 #ifdef PADDLE_WITH_DISTRIBUTE
     auto* tensor = static_cast<phi::distributed::auto_parallel::DistTensor*>(
         self->tensor.impl().get());
-    VLOG(6) << "dist tensor: " << tensor->IsInitialized();
+    VLOG(6) << "dist tensor: " << tensor->defined();
     return ToPyObject(tensor);
 #else
     RETURN_PY_NONE

paddle/phi/core/distributed/auto_parallel/dist_tensor.cc

@@ -26,10 +26,11 @@ void* DistTensor::AllocateFrom(Allocator* allocator,
 }
 
 const Place& DistTensor::place() const {
-  PADDLE_ENFORCE_NOT_NULL(
-      value_->holder_,
+  PADDLE_ENFORCE_EQ(
+      value_ && value_->holder_,
+      true,
       phi::errors::PreconditionNotMet(
-          "Tensor not initialized yet when DenseTensor::place() is called."));
+          "Tensor not initialized yet when DistTensor::place() is called."));
   return value_->holder_->place();
 }
 
@@ -55,13 +56,7 @@ void DistTensor::set_meta(const DenseTensorMeta& meta) {
       true,
       phi::errors::InvalidArgument(
           "Input meta is invalid, please check the meta attribute."));
-  meta_.dims = meta.dims;
-  meta_.dtype = meta.dtype;
-  meta_.is_scalar = meta.is_scalar;
-  meta_.layout = meta.layout;
-  meta_.lod = meta.lod;
-  meta_.offset = meta.offset;
-  meta_.use_gpudnn = meta.use_gpudnn;
+  meta_ = meta;
 }
 
 }  // namespace auto_parallel

paddle/phi/core/distributed/auto_parallel/dist_tensor.h

@@ -82,10 +82,10 @@ class DistTensor final
   /// \brief Test whether the storage is allocated.
   /// \return Whether the storage is allocated.
   bool initialized() const override {
-    return value_->holder_ && value_->holder_->ptr();
+    return value_ && value_->holder_ && value_->holder_->ptr();
   }
 
-  bool IsInitialized() const { return value_->holder_ != nullptr; }
+  bool defined() const { return value_ && value_->holder_; }
 
   /// \brief Test whether the metadata is valid.
   /// \return Whether the metadata is valid.

test/cpp/auto_parallel/CMakeLists.txt

@@ -4,6 +4,13 @@ cc_test(process_mesh_test SRCS process_mesh_test.cc)
 
 cc_test(dist_attr_test SRCS dist_attr_test.cc)
 
+if(WITH_DISTRIBUTE)
+  cc_test(
+    dist_tensor_test
+    SRCS dist_tensor_test.cc
+    DEPS phi)
+endif()
+
 cc_test_old(dist_mapper_test SRCS dist_mapper_test.cc DEPS phi)
 
 cc_test_old(spmd_rule_test SRCS spmd_rule_test.cc DEPS spmd_rules)

test/cpp/auto_parallel/dist_tensor_test.cc

@@ -0,0 +1,58 @@
+/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "paddle/phi/core/distributed/auto_parallel/dist_tensor.h"
+
+#include "gtest/gtest.h"
+#include "paddle/phi/core/distributed/auto_parallel/dist_attr.h"
+#include "test/cpp/phi/core/allocator.h"
+
+namespace phi {
+namespace distributed {
+namespace auto_parallel {
+namespace tests {
+
+TEST(dist_tensor, constructor) {
+  auto fancy_allocator =
+      std::unique_ptr<Allocator>(new phi::tests::FancyAllocator);
+  auto* alloc = fancy_allocator.get();
+
+  DataType dtype{DataType::FLOAT16};
+  DDim dims({3, 4});
+  DenseTensorMeta meta(dtype, dims);
+
+  auto dist_attr = std::make_shared<TensorDistAttr>(phi::vectorize(dims));
+
+  DistTensor x1(alloc, meta, dist_attr);
+  EXPECT_TRUE(x1.defined());
+  EXPECT_TRUE(x1.initialized());
+
+  DistTensor x2(alloc, DenseTensorMeta(dtype, dims), dist_attr);
+  EXPECT_TRUE(x2.defined());
+  EXPECT_TRUE(x2.initialized());
+
+  DistTensor x3(x2.value().Holder(), meta, dist_attr);
+  EXPECT_TRUE(x3.defined());
+  EXPECT_TRUE(x3.initialized());
+
+  auto a = std::make_shared<DenseTensor>(alloc, DenseTensorMeta(dtype, dims));
+  DistTensor x4(a, dist_attr);
+  EXPECT_TRUE(x4.defined());
+  EXPECT_TRUE(x4.initialized());
+}
+
+}  // namespace tests
+}  // namespace auto_parallel
+}  // namespace distributed
+}  // namespace phi