Zzf/rms norm (DeepLink-org#751)

* add rms norm op
* take functions_ext into the adaptor

adaptor/codegen/gen.py

@@ -724,7 +724,10 @@ def gen_autogen_operators(
     # get the implemented functions
     impl_base_dir = os.path.dirname(config_file_path)
     impl_func_dir = os.path.join(impl_base_dir, "functions")
+    impl_func_ext_dir = os.path.join(impl_base_dir, "functions_ext")
     impl_functions = obtain_impl_func(impl_func_dir)
+    impl_functions_ext = obtain_impl_func(impl_func_ext_dir)
+    impl_functions.update(impl_functions_ext)
 
     if impl_plugin:
         impl_plugin_dir = os.path.join(impl_base_dir, "../ascend_npu/diopi_impl")

impl/ascend/device_configs.py

@@ -1860,39 +1860,4 @@
             ]
         ),
     ),
-
-    'rms_norm': dict(
-        name=["rms_norm"],
-        tensor_para=dict(
-            args=[
-                {
-                    "ins": ['input'],
-                    "dtype": [Skip(np.float32)],
-                },
-            ],
-        ),
-    ),
-
-    'topk_nonzero': dict(
-        name=['topk'],
-        para=dict(
-            k=[Skip(1)],
-        ),
-    ),
-
-    'topk_zero': dict(
-        name=['topk'],
-        interface=['torch'],
-        para=dict(
-            k=[Skip(1)],
-        ),
-    ),
-
-    # FIXME 特定参数组合报错
-    'embedding': dict(
-        name=["embedding"],
-        para=dict(
-            padding_idx=[Skip(92)],
-        ),
-    ),
 }

impl/ascend/functions_ext/rms_norm.cpp

@@ -0,0 +1,30 @@
+/**
+ * @file
+ * @author DeepLink
+ * @copyright  (c) 2023, DeepLink.
+ */
+
+#include "../common/acloprunner.hpp"
+
+namespace impl {
+namespace ascend {
+
+diopiError_t diopiRMSNorm(diopiContextHandle_t ctx, diopiTensorHandle_t out, diopiTensorHandle_t invRms, diopiConstTensorHandle_t input,
+                          diopiSize_t normalizedShape, diopiConstTensorHandle_t weight, diopiConstTensorHandle_t bias, double eps) {
+    AscendTensor inputTensor(input);
+    ASCEND_CHECK_ABORT(1 == normalizedShape.len && normalizedShape.data[0] == inputTensor.shape()[inputTensor.dim() - 1], "normalized shape error!");
+    AclOpRunner<2, 2>("RmsNorm", ctx).addInput(input).addInput(weight).setAttr("epsilon", static_cast<float>(eps)).addOutput(out).addOutput(invRms).run();
+    return diopiSuccess;
+}
+
+diopiError_t diopiRMSNormBackward(diopiContextHandle_t ctx, diopiTensorHandle_t gradInput, diopiTensorHandle_t gradWeight, diopiTensorHandle_t gradBias,
+                                  diopiConstTensorHandle_t gradOutput, diopiConstTensorHandle_t input, diopiConstTensorHandle_t weight,
+                                  diopiConstTensorHandle_t bias, diopiConstTensorHandle_t invRms, diopiSize_t normalizedShape, double eps) {
+    AscendTensor inputTensor(input);
+    ASCEND_CHECK_ABORT(1 == normalizedShape.len && normalizedShape.data[0] == inputTensor.shape()[inputTensor.dim() - 1], "normalized shape error!");
+    AclOpRunner<4, 2>("RmsNorm", ctx).addInput(gradOutput).addInput(input).addInput(invRms).addInput(weight).addOutput(gradInput).addOutput(gradWeight).run();
+    return diopiSuccess;
+}
+
+}  // namespace ascend
+}  // namespace impl

impl/ascend_npu/CMakeLists.txt

@@ -640,6 +640,7 @@ set(OLD_IMPL_SRC
     ${OLD_IMPL_DIR}/functions/linspace.cpp
     ${OLD_IMPL_DIR}/functions/apply_penalty.cpp
     ${OLD_IMPL_DIR}/functions/split.cpp
+    ${OLD_IMPL_DIR}/functions_ext/rms_norm.cpp
     #${OLD_IMPL_DIR}/test/export_functions.cpp
     #${OLD_IMPL_DIR}/test/conform_test.cpp
     ${OLD_IMPL_DIR}/common/utils.cpp

impl/ascend_npu/ascend_config.yaml

@@ -192,6 +192,8 @@ ascend:
 - diopiConvolution2dBackward
 - diopiLogicalAnd
 - diopiLogicalOr
+- diopiRMSNorm
+- diopiRMSNormBackward
 - diopiExpand
 - diopiLinspace
 - diopiProd