adapt to cann5.0.3_alpha3. (#36106)

cmake/external/ascend.cmake

@@ -92,6 +92,8 @@ macro(find_ascend_toolkit_version ascend_toolkit_version_info)
     file(READ ${ascend_toolkit_version_info} ASCEND_TOOLKIT_VERSION_CONTENTS)
     string(REGEX MATCH "version=([0-9]+\.[0-9]+\.[0-9]+\.[a-z]*[0-9]*)" ASCEND_TOOLKIT_VERSION "${ASCEND_TOOLKIT_VERSION_CONTENTS}")
     string(REGEX REPLACE "version=([0-9]+\.[0-9]+\.[0-9]+\.[a-z]*[0-9]*)" "\\1" ASCEND_TOOLKIT_VERSION "${ASCEND_TOOLKIT_VERSION}")
+    string(REGEX REPLACE "[a-z|\.]" "" CANN_VERSION ${ASCEND_TOOLKIT_VERSION})
+    add_definitions("-DCANN_VERSION_CODE=${CANN_VERSION}")
     if(NOT ASCEND_TOOLKIT_VERSION)
         set(ASCEND_TOOLKIT_VERSION "???")
     else()

paddle/fluid/operators/collective/c_embedding_op_npu.cc

@@ -68,10 +68,21 @@ void shard_index(const Tensor &table_t, const Tensor &ids_t, int64_t start_idx,
   ignore_tensor.Resize(ids_t.dims());
 
   NpuOpRunner sub_runner;
+#if (CANN_VERSION_CODE >= 503003)
+  Tensor factor_tensor(ids_t.type());
+  factor_tensor.mutable_data<T>({1}, context.GetPlace());
+  TensorFromVector(std::vector<T>{static_cast<T>(start_idx)},
+                   context.device_context(), &factor_tensor);
+  sub_runner.SetType("Sub")
+      .AddInput(ids_t)
+      .AddInput(factor_tensor)
+      .AddOutput(id_t);
+#else
   sub_runner.SetType("Sub")
       .AddInput(ids_t)
       .AddInput(std::vector<T>{static_cast<T>(start_idx)})
       .AddOutput(id_t);
+#endif
   sub_runner.Run();
 
   NpuOpRunner lessequal1_runner;
@@ -137,6 +148,9 @@ void NPUGetIdsEmbedding(const framework::ExecutionContext &context) {
       .AddInput(table_t_pad)
       .AddInput(ids_t_local)
       .AddInput(std::vector<int32_t>{0})
+#if (CANN_VERSION_CODE >= 503003)
+      .AddAttrs({{"batch_dims", 0}})
+#endif
       .AddOutput(*output_t);
   runner.Run();
 }

paddle/fluid/operators/fill_constant_op_npu.cc

@@ -66,11 +66,21 @@ class FillConstantNPUKernel : public framework::OpKernel<T> {
     out_var->mutable_data<T>(shape, ctx.GetPlace());
 
     NpuOpRunner runner;
+#if (CANN_VERSION_CODE >= 503003)
+    runner.SetType("FillD")
+        .AddInput(tensor_value)
+        .AddOutput(*out_var)
+        .AddAttrs(
+            {{ "dims",
+               framework::vectorize(shape) }})
+        .Run(stream);
+#else
     runner.SetType("Fill")
         .AddInput(framework::vectorize(shape))
         .AddInput(tensor_value)
         .AddOutput(*out_var)
         .Run(stream);
+#endif
   }
 };
 }  // namespace operators

paddle/fluid/operators/lookup_table_v2_op_npu.cc

@@ -40,6 +40,9 @@ class LookupTableV2NPUKernel : public framework::OpKernel<T> {
         .AddInput(*table_t)
         .AddInput(*ids_t)
         .AddInput(std::vector<int32_t>{0})
+#if (CANN_VERSION_CODE >= 503003)
+        .AddAttrs({{"batch_dims", 0}})
+#endif
         .AddOutput(*output_t);
     runner.Run();
   }