[Embedding] Adjust the header file of embedding variable.

Signed-off-by: chenbangduo.cbd <[email protected]>
DeepRec-AI · Mar 7, 2024 · aee6311 · aee6311
1 parent 186afd0
commit aee6311
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Showing 4 changed files with 6 additions and 5 deletions.
diff --git a/tensorflow/core/framework/embedding/embedding_var.h b/tensorflow/core/framework/embedding/embedding_var.h
@@ -34,7 +34,6 @@ limitations under the License.
 #include "tensorflow/core/framework/embedding/gpu_hash_map_kv.h"
 #include "tensorflow/core/framework/embedding/embedding_config.h"
 #include "tensorflow/core/framework/embedding/storage.h"
-#include "tensorflow/core/framework/embedding/storage_factory.h"
 #include "tensorflow/core/framework/typed_allocator.h"
 
 namespace tensorflow {

diff --git a/tensorflow/core/kernels/kv_variable_ops.cc b/tensorflow/core/kernels/kv_variable_ops.cc
@@ -23,6 +23,7 @@ limitations under the License.
 #include "tensorflow/core/framework/embedding/cache.h"
 #include "tensorflow/core/framework/embedding/config.pb.h"
 #include "tensorflow/core/framework/embedding/embedding_var.h"
+#include "tensorflow/core/framework/embedding/storage_factory.h"
 #include "tensorflow/core/framework/op_kernel.h"
 #include "tensorflow/core/framework/register_types.h"
 #include "tensorflow/core/framework/resource_mgr.h"

diff --git a/tensorflow/core/kernels/kv_variable_restore_ops.cc b/tensorflow/core/kernels/kv_variable_restore_ops.cc
@@ -25,6 +25,7 @@ limitations under the License.
 #include "tensorflow/core/framework/embedding/cache.h"
 #include "tensorflow/core/framework/embedding/config.pb.h"
 #include "tensorflow/core/framework/embedding/embedding_var.h"
+#include "tensorflow/core/framework/embedding/storage_factory.h"
 #include "tensorflow/core/framework/op_kernel.h"
 #include "tensorflow/core/framework/register_types.h"
 #include "tensorflow/core/framework/resource_mgr.h"

diff --git a/tensorflow/core/kernels/training_ali_ops.cc b/tensorflow/core/kernels/training_ali_ops.cc
@@ -236,7 +236,7 @@ class KvSparseApplyAdagradGPUOp : public OpKernel {
     T** dev_a = dev_v + task_size;
     CHECK(dev_a);
     CHECK(dev_v);
-    DeviceMemoryBase dev_v_ptr(dev_v, sizeof(T*) * task_size * 2);
+    se::DeviceMemoryBase dev_v_ptr(dev_v, sizeof(T*) * task_size * 2);
     stream->ThenMemcpy(&dev_v_ptr, v, sizeof(T*) * task_size * 2);
 
     int block_size = 128;
@@ -1606,7 +1606,7 @@ class KvSparseApplyAdamGPUOp : public OpKernel {
     CHECK(dev_m_ptr);
     CHECK(dev_v_ptr);
 
-    DeviceMemoryBase dst_ptr(dev_var_ptr, sizeof(T*) * task_size * 3);
+    se::DeviceMemoryBase dst_ptr(dev_var_ptr, sizeof(T*) * task_size * 3);
     stream->ThenMemcpy(&dst_ptr, var_ptr, sizeof(T*) * task_size * 3);
 
     int block_size = 128;
@@ -2579,7 +2579,7 @@ class KvSparseApplyAdamAsyncGPUOp : public OpKernel {
     CHECK(dev_m_ptr);
     CHECK(dev_v_ptr);
 
-    DeviceMemoryBase dst_ptr(dev_var_ptr, sizeof(T*) * task_size * 3);
+    se::DeviceMemoryBase dst_ptr(dev_var_ptr, sizeof(T*) * task_size * 3);
     stream->ThenMemcpy(&dst_ptr, var_ptr, sizeof(T*) * task_size * 3);
 
     int block_size = 128;
@@ -3236,7 +3236,7 @@ class KvSparseApplyAdamWGPUOp : public OpKernel {
     CHECK(dev_m_ptr);
     CHECK(dev_v_ptr);
 
-    DeviceMemoryBase dst_ptr(dev_var_ptr, sizeof(T*) * task_size * 3);
+    se::DeviceMemoryBase dst_ptr(dev_var_ptr, sizeof(T*) * task_size * 3);
     stream->ThenMemcpy(&dst_ptr, var_ptr, sizeof(T*) * task_size * 3);
 
     int block_size = 128;