[MLU]add allgather_op mlu kernel (#40356)

paddle/fluid/operators/collective/c_allgather_op_mlu.cc

+/* Copyright (c) 2022 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/fluid/operators/collective/c_allgather_op.h"
+
+#if defined(PADDLE_WITH_CNCL)
+#include "paddle/fluid/platform/collective_helper.h"
+#include "paddle/fluid/platform/device/mlu/cncl_helper.h"
+#endif
+#include "paddle/fluid/framework/convert_utils.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class CAllGatherOpMLUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+#if defined(PADDLE_WITH_CNCL)
+    auto x = ctx.Input<framework::Tensor>("X");
+    auto out = ctx.Output<framework::Tensor>("Out");
+    cnclDataType_t dtype =
+        platform::ToCNCLDataType(framework::TransToProtoVarType(x->dtype()));
+
+    int nranks = ctx.Attr<int>("nranks");
+    int rid = ctx.Attr<int>("ring_id");
+    auto place = ctx.GetPlace();
+    auto comm = platform::CNCLCommContext::Instance().Get(rid, place);
+    PADDLE_ENFORCE_EQ(
+        nranks, comm->nranks(),
+        platform::errors::InvalidArgument("nranks: %s should equal to %s",
+                                          nranks, comm->nranks()));
+
+    framework::DDim out_dims = x->dims();
+    out_dims[0] *= nranks;
+    out->mutable_data<T>(out_dims, place);
+
+    uint32_t send_numel = x->numel();
+    void* send_buff = reinterpret_cast<void*>(const_cast<T*>(x->data<T>()));
+    void* recv_buff = reinterpret_cast<void*>(out->data<T>());
+
+    mluStream stream = nullptr;
+    if (ctx.Attr<bool>("use_calc_stream")) {
+      auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
+      stream = static_cast<platform::MLUDeviceContext*>(dev_ctx)->stream();
+    } else {
+      stream = comm->stream();
+    }
+
+    PADDLE_ENFORCE_MLU_SUCCESS(cnclAllGather(send_buff, recv_buff, send_numel,
+                                             dtype, comm->comm(), stream));
+#else
+    PADDLE_THROW(platform::errors::PreconditionNotMet(
+        "PaddlePaddle should compile with MLU."));
+#endif
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_MLU_KERNEL(c_allgather, ops::CAllGatherOpMLUKernel<float>,
+                       ops::CAllGatherOpMLUKernel<uint8_t>,
+                       ops::CAllGatherOpMLUKernel<int>,
+                       ops::CAllGatherOpMLUKernel<int8_t>,
+                       ops::CAllGatherOpMLUKernel<int16_t>,
+                       ops::CAllGatherOpMLUKernel<plat::float16>);

paddle/fluid/operators/collective/c_allreduce_op.h

@@ -413,7 +413,7 @@ class CAllReduceOpMLUKernel : public framework::OpKernel<T> {
 
     auto place = ctx.GetPlace();
     cnclDataType_t dtype =
-        platform::ToCNCLDataType(framework::TransToProtoVarType(in->type()));
+        platform::ToCNCLDataType(framework::TransToProtoVarType(in->dtype()));
     int64_t numel = in->numel();
     const void* sendbuff = in->data<T>();
     out->Resize(in->dims());

paddle/fluid/operators/collective/c_broadcast_op_mlu.cc

@@ -31,7 +31,7 @@ class CBroadcastOPMLUKernel : public framework::OpKernel<T> {
     auto out = ctx.Output<framework::LoDTensor>("Out");
     int numel = x->numel();
     cnclDataType_t dtype =
-        platform::ToCNCLDataType(framework::TransToProtoVarType(x->type()));
+        platform::ToCNCLDataType(framework::TransToProtoVarType(x->dtype()));
 
     int rid = ctx.Attr<int>("ring_id");
     auto place = ctx.GetPlace();

python/paddle/fluid/tests/unittests/mlu/CMakeLists.txt

@@ -22,8 +22,10 @@ if (WITH_MLU)
         bash_test_modules(test_c_comm_init_op_mlu START_BASH test_c_comm_init_op_mlu.sh ENVS PADDLE_BINARY_DIR=${PADDLE_BINARY_DIR})
         set_tests_properties(test_collective_broadcast PROPERTIES TIMEOUT 120)
         set_tests_properties(test_collective_allreduce PROPERTIES TIMEOUT 120)
+	set_tests_properties(test_collective_allgather PROPERTIES TIMEOUT 120)
         set_tests_properties(test_collective_broadcast_api_mlu PROPERTIES TIMEOUT 120)
         set_tests_properties(test_collective_allreduce_api_mlu PROPERTIES TIMEOUT 120)
+	set_tests_properties(test_collective_allgather_api_mlu PROPERTIES TIMEOUT 120)
         set_tests_properties(test_c_comm_init_op_mlu PROPERTIES TIMEOUT 120)
     endif(WITH_CNCL)
 endif()

python/paddle/fluid/tests/unittests/mlu/collective_allgather_api.py

+# Copyright (c) 2022 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.
+
+from __future__ import print_function
+
+import numpy as np
+import argparse
+import os
+import sys
+import signal
+import time
+import socket
+from contextlib import closing
+from six import string_types
+import math
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.profiler as profiler
+import paddle.fluid.unique_name as nameGen
+from paddle.fluid import core
+import unittest
+from multiprocessing import Process
+import paddle.fluid.layers as layers
+from functools import reduce
+from test_collective_api_base_mlu import TestCollectiveAPIRunnerBase, runtime_main
+
+paddle.enable_static()
+
+
+class TestCollectiveAllgatherAPI(TestCollectiveAPIRunnerBase):
+    def __init__(self):
+        self.global_ring_id = 0
+
+    def get_model(self, main_prog, startup_program, rank):
+        with fluid.program_guard(main_prog, startup_program):
+            tensor_list = []
+            tindata = layers.data(
+                name="tindata", shape=[10, 1000], dtype='float32')
+            paddle.distributed.all_gather(tensor_list, tindata)
+            return tensor_list
+
+
+if __name__ == "__main__":
+    runtime_main(TestCollectiveAllgatherAPI, "allgather")

python/paddle/fluid/tests/unittests/mlu/collective_allgather_op.py

+# Copyright (c) 2022 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.
+
+from __future__ import print_function
+
+import numpy as np
+import argparse
+import os
+import sys
+import signal
+import time
+from contextlib import closing
+from six import string_types
+import math
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.profiler as profiler
+import paddle.fluid.unique_name as nameGen
+from paddle.fluid import core
+import unittest
+from multiprocessing import Process
+import paddle.fluid.layers as layers
+from functools import reduce
+from test_collective_base_mlu import TestCollectiveRunnerBase, runtime_main
+
+paddle.enable_static()
+
+
+class TestCollectiveAllgather(TestCollectiveRunnerBase):
+    def __init__(self):
+        self.global_ring_id = 0
+
+    def get_model(self, main_prog, startup_program):
+        ring_id = 0
+        nranks = 2
+        with fluid.program_guard(main_prog, startup_program):
+            tindata = layers.data(
+                name="tindata", shape=[10, 1000], dtype='float32')
+            toutdata = main_prog.current_block().create_var(
+                name="outofgather",
+                dtype='float32',
+                type=core.VarDesc.VarType.LOD_TENSOR,
+                persistable=False,
+                stop_gradient=False)
+            main_prog.global_block().append_op(
+                type="c_allgather",
+                inputs={'X': tindata},
+                attrs={'ring_id': ring_id,
+                       'nranks': nranks},
+                outputs={'Out': toutdata})
+            main_prog.global_block().append_op(
+                type="c_sync_comm_stream",
+                inputs={'X': toutdata},
+                outputs={'Out': toutdata},
+                attrs={'ring_id': ring_id})
+            return toutdata
+
+
+if __name__ == "__main__":
+    runtime_main(TestCollectiveAllgather, "allgather", 0)

python/paddle/fluid/tests/unittests/mlu/test_collective_allgather.py

+#   Copyright (c) 2022 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.
+
+from __future__ import print_function
+import sys
+import unittest
+import numpy as np
+import paddle
+
+from test_collective_base_mlu import TestDistBase
+
+paddle.enable_static()
+
+
+class TestCAllgatherOp(TestDistBase):
+    def _setup_config(self):
+        pass
+
+    def test_allgather_fp32(self):
+        self.check_with_place("collective_allgather_op.py", "allgather",
+                              "float32")
+
+    def test_allgather_fp16(self):
+        self.check_with_place("collective_allgather_op.py", "allgather",
+                              "float16")
+
+    def test_allgather_int32(self):
+        self.check_with_place("collective_allgather_op.py", "allgather",
+                              "int32")
+
+    def test_allgather_int16(self):
+        self.check_with_place("collective_allgather_op.py", "allgather",
+                              "int16")
+
+    def test_allgather_int8(self):
+        self.check_with_place("collective_allgather_op.py", "allgather", "int8")
+
+    def test_allgather_uint8(self):
+        self.check_with_place("collective_allgather_op.py", "allgather",
+                              "uint8")
+
+
+if __name__ == '__main__':
+    unittest.main()

python/paddle/fluid/tests/unittests/mlu/test_collective_allgather_api_mlu.py

+# Copyright (c) 2022 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.
+
+from __future__ import print_function
+import unittest
+import numpy as np
+import paddle
+
+from test_collective_api_base_mlu import TestDistBase
+
+paddle.enable_static()
+
+
+class TestCollectiveAllgatherAPI(TestDistBase):
+    def _setup_config(self):
+        pass
+
+    def test_allgather_cncl_fp16(self):
+        self.check_with_place("collective_allgather_api.py", "allgather",
+                              "float16")
+
+    def test_allgather_cncl_fp32(self):
+        self.check_with_place("collective_allgather_api.py", "allgather",
+                              "float32")
+
+    def test_allgather_cncl_int32(self):
+        self.check_with_place("collective_allgather_api.py", "allgather",
+                              "int32")
+
+
+if __name__ == '__main__':
+    unittest.main()

python/paddle/fluid/tests/unittests/mlu/test_collective_api_base_mlu.py

@@ -219,5 +219,11 @@ class TestDistBase(unittest.TestCase):
             self.assertTrue(
                 np.allclose(
                     tr1_out, need_result, rtol=1e-05, atol=1e-05))
+        elif col_type == "allgather":
+            need_result = np.vstack((input1, input2))
+            tr_out0 = np.vstack((tr0_out[0], tr0_out[1]))
+            tr_out1 = np.vstack((tr1_out[0], tr1_out[1]))
+            self.assertTrue(np.allclose(tr_out0, need_result))
+            self.assertTrue(np.allclose(tr_out1, need_result))
         else:
             pass

python/paddle/fluid/tests/unittests/mlu/test_collective_base_mlu.py

@@ -270,5 +270,9 @@ class TestDistBase(unittest.TestCase):
             self.assertTrue(
                 np.allclose(
                     tr1_out, need_result, rtol=1e-05, atol=1e-05))
+        elif col_type == "allgather":
+            need_result = np.vstack((input1, input2))
+            self.assertTrue(np.allclose(tr0_out, need_result))
+            self.assertTrue(np.allclose(tr1_out, need_result))
         else:
             pass