[MetaxGPU] Support FastDeploy on metax gpu (#3241)

* [MetaxGPU] Support FastDeploy on metax gpu

* Update metax_worker.py

1. change worker log;
2. remove custom allreduce, adapt it later;
3. remove cuda graph;

* Update __init__.py

1. remove metax's key work comment

* Update __init__.py

1. remove metax's key word comment;
2. add fused_moe_kernel_paddle import

---------

Co-authored-by: yongqiangma <xing.wo@163.com>

fastdeploy/platforms/maca.py

@@ -0,0 +1,65 @@
+"""
+# Copyright (c) 2025 MetaX-tech 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.
+"""
+
+"""
+maca platform file
+"""
+
+import paddle
+from paddleformers.utils.log import logger
+
+from .base import Platform, _Backend
+
+
+class MACAPlatform(Platform):
+    """
+    maca platform class
+    """
+
+    device_name = "metax_gpu"
+
+    @classmethod
+    def available(self):
+        """
+        Check whether MACA is available.
+        """
+        try:
+            assert len(paddle.static.cuda_places()) > 0
+            return True
+        except Exception as e:
+            logger.warning(
+                "You are using GPU version PaddlePaddle, but there is no GPU "
+                "detected on your machine. Maybe CUDA devices is not set properly."
+                f"\n Original Error is {e}"
+            )
+            return False
+
+    @classmethod
+    def get_attention_backend_cls(cls, selected_backend: _Backend):
+        """
+        get_attention_backend_cls
+        """
+        if selected_backend == _Backend.NATIVE_ATTN:
+            logger.info("Using NATIVE ATTN backend.")
+            return "fastdeploy.model_executor.layers.attention.PaddleNativeAttnBackend"
+        elif selected_backend == _Backend.APPEND_ATTN:
+            logger.info("Using FLASH ATTN backend to instead of attend attention.")
+            return "fastdeploy.model_executor.layers.backends.metax.attention.flash_attn_backend.FlashAttentionBackend"
+        else:
+            raise ValueError(
+                "Invalid attention backend you specified.\n"
+                "Now only support [NATIVE_ATTN, MLA_ATTN, APPEND_ATTN] in cuda place."
+            )