【PIR OpTest Fix No.39】 fix test_c_reduce_min_translate

paddle/fluid/pir/dialect/op_generator/ops_api_gen.py

@@ -134,6 +134,8 @@
     'sparse_momentum',
     'soft_relu',
     'uniform_random_batch_size_like',
+    'c_reduce_min',
+    'c_reduce_min_',
 ]
 
 

paddle/fluid/pir/dialect/operator/ir/ops.yaml

@@ -213,6 +213,16 @@
     func : c_identity
   inplace : (x -> out)
 
+- op : c_reduce_min
+  args : (Tensor x, int ring_id, int root_id, bool use_calc_stream)
+  output : Tensor(out)
+  infer_meta :
+    func : DistReduceInferMeta
+    param : [x]
+  kernel :
+    func : c_reduce_min
+  inplace : (x -> out)
+
 - op : c_reduce_sum
   args : (Tensor x, int ring_id, int root_id, bool use_calc_stream)
   output : Tensor(out)

paddle/fluid/pir/dialect/operator/utils/utils.cc

@@ -56,7 +56,8 @@ const std::unordered_set<std::string> LegacyOpList = {
     RowConvOp::name(),
     RowConvGradOp::name(),
     SoftReluOp::name(),
-    SoftReluGradOp::name()};
+    SoftReluGradOp::name(),
+    CReduceMinOp::name()};
 
 enum class AttrType {
   UNDEFINED = 0,

paddle/phi/api/yaml/op_compat.yaml

@@ -3364,6 +3364,12 @@
   outputs :
     out: Out
 
+- op: c_reduce_min
+  inputs :
+    x : X
+  outputs :
+    out: Out
+
 - op: c_reduce_sum
   inputs :
     x : X

test/ir/pir/CMakeLists.txt

@@ -39,3 +39,7 @@ py_test_modules(
   FLAGS_pir_subgraph_saving_dir=${CMAKE_CURRENT_SOURCE_DIR})
 
 add_subdirectory(fused_pass)
+
+if(WITH_DISTRIBUTE)
+  add_subdirectory(translator)
+endif()

test/ir/pir/translator/CMakeLists.txt

@@ -0,0 +1,9 @@
+file(
+  GLOB TEST_INTERP_CASES
+  RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}"
+  "test_*.py")
+string(REPLACE ".py" "" TEST_INTERP_CASES "${TEST_INTERP_CASES}")
+
+foreach(target ${TEST_INTERP_CASES})
+  py_test_modules(${target} MODULES ${target})
+endforeach()

test/ir/pir/translator/test_c_reduce_min_translate.py

@@ -0,0 +1,51 @@
+# Copyright (c) 2023 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.
+
+import unittest
+
+import paddle
+from paddle import pir
+from paddle.base import core
+from paddle.base.layer_helper import LayerHelper
+
+paddle.enable_static()
+
+
+class TestCReduceMinOpTranscriber(unittest.TestCase):
+    def test_program(self):
+        place = core.Place()
+        place.set_place(paddle.CPUPlace())
+
+        new_scope = paddle.static.Scope()
+        main_program = paddle.static.Program()
+        with paddle.static.scope_guard(new_scope):
+            with paddle.static.program_guard(main_program):
+                x = paddle.ones(shape=(100, 2, 3), dtype='float32')
+                y = paddle.ones(shape=(100, 2, 3), dtype='float32')
+                attrs = {'ring_id': 0, 'root_id': 0, 'use_calc_stream': False}
+                helper = LayerHelper('c_reduce_min')
+                helper.append_op(
+                    type="c_reduce_min",
+                    inputs={"X": x},
+                    outputs={"Out": y},
+                    attrs=attrs,
+                )
+        l = pir.translate_to_pir(main_program.desc)
+        assert (
+            l.global_block().ops[2].name() == "pd_op.c_reduce_min"
+        ), "c_reduce_min should be translated to c_reduce_min"
+
+
+if __name__ == "__main__":
+    unittest.main()