chore: import upstream snapshot with attribution

python/paddle/pir_utils.py

@@ -0,0 +1,223 @@
+# 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 paddle
+from paddle.framework.dtype import bind_datatype, bind_vartype
+
+
+def _switch_to_pir_():
+    bind_datatype()
+    paddle.base.framework.global_var._use_pir_api_ = True
+    paddle.framework.set_flags({"FLAGS_enable_pir_in_executor": True})
+    paddle.pir.register_paddle_dialect()
+    # TODO find a better place to init the registration of dist dialect.
+    paddle.pir.register_dist_dialect()
+
+    paddle.base.Program = paddle.pir.Program
+    paddle.base.program_guard = paddle.pir.core.program_guard
+    paddle.base.default_main_program = paddle.pir.core.default_main_program
+    paddle.base.default_startup_program = (
+        paddle.pir.core.default_startup_program
+    )
+    paddle.static.Program = paddle.pir.Program
+    paddle.static.program_guard = paddle.pir.core.program_guard
+    paddle.static.default_main_program = paddle.pir.core.default_main_program
+    paddle.static.default_startup_program = (
+        paddle.pir.core.default_startup_program
+    )
+
+
+def _switch_to_old_ir_():
+    bind_vartype()
+    paddle.base.framework.global_var._use_pir_api_ = False
+    paddle.framework.set_flags({"FLAGS_enable_pir_in_executor": False})
+
+    paddle.base.Program = paddle.base.framework.Program
+    paddle.base.program_guard = paddle.base.framework.program_guard
+    paddle.base.default_main_program = (
+        paddle.base.framework.default_main_program
+    )
+    paddle.base.default_startup_program = (
+        paddle.base.framework.default_startup_program
+    )
+    paddle.static.Program = paddle.base.framework.Program
+    paddle.static.program_guard = paddle.base.framework.program_guard
+    paddle.static.default_main_program = (
+        paddle.base.framework.default_main_program
+    )
+    paddle.static.default_startup_program = (
+        paddle.base.framework.default_startup_program
+    )
+
+
+class IrGuard:
+    def __enter__(self):
+        self.in_dygraph_outside = paddle.base.framework.in_dygraph_mode()
+        self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]
+        if self.in_dygraph_outside:
+            paddle.enable_static()
+        if not self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
+            paddle.base.framework.global_var._use_pir_api_ = True
+            self._switch_to_pir()
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        if self.in_dygraph_outside:
+            paddle.disable_static()
+        if not self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
+            paddle.base.framework.global_var._use_pir_api_ = False
+            self._switch_to_old_ir()
+
+    def _switch_to_pir(self):
+        if paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]:
+            _switch_to_pir_()
+
+    def _switch_to_old_ir(self):
+        if not paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]:
+            _switch_to_old_ir_()
+        else:
+            raise RuntimeError(
+                "IrGuard._switch_to_old_ir only work when paddle.framework.in_pir_mode() is false, \
+                please set FLAGS_enable_pir_api = false"
+            )
+
+
+class OldIrGuard:
+    def __enter__(self):
+        self.in_dygraph_outside = paddle.base.framework.in_dygraph_mode()
+        self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]
+        if self.in_dygraph_outside:
+            paddle.enable_static()
+        if self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
+            _switch_to_old_ir_()
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        if self.in_dygraph_outside:
+            paddle.disable_static()
+        if self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
+            _switch_to_pir_()
+
+
+class DygraphPirGuard:
+    def __enter__(self):
+        self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]
+        if not self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
+            self._switch_to_pir()
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        if not self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
+            self._switch_to_old_ir()
+
+    def _switch_to_pir(self):
+        if paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]:
+            _switch_to_pir_()
+
+    def _switch_to_old_ir(self):
+        if not paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]:
+            _switch_to_old_ir_()
+        else:
+            raise RuntimeError(
+                "IrGuard._switch_to_old_ir only work when paddle.framework.in_pir_mode() is false, \
+                please set FLAGS_enable_pir_api = false"
+            )
+
+
+class DygraphOldIrGuard:
+    def __enter__(self):
+        self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
+        ]
+        if self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
+            _switch_to_old_ir_()
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        if self.old_flag:
+            paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
+            _switch_to_pir_()
+
+
+def get_memory(value):
+    from paddle.base.core import DataType
+
+    numel = value.numel()
+    mapping = {
+        DataType.BOOL: 1,
+        DataType.INT8: 1,
+        DataType.INT16: 2,
+        DataType.INT32: 4,
+        DataType.INT64: 8,
+        DataType.UINT8: 1,
+        DataType.UINT16: 2,
+        DataType.UINT32: 4,
+        DataType.UINT64: 8,
+        DataType.FLOAT32: 4,
+        DataType.FLOAT64: 8,
+    }
+    dtype = mapping[value.type().dtype]
+    return dtype * numel
+
+
+def analysis_io(program: paddle.pir.Program):
+    # 1. don't support control flow now
+    # 2. each op is consider read all inputs and write all outputs once.
+    # 3. unit is "GByte"
+    total_io = 0.0
+    for op in program.global_block().ops:
+        for operand in op.operands():
+            value = operand.source()
+            total_io += get_memory(value)
+
+        for value in op.results():
+            total_io += get_memory(value)
+
+    return total_io / 1024 / 1024 / 1024
+
+
+def append_activation_in_pir(input, act=None, use_cudnn=None):
+    if act is None:
+        return input
+
+    act_name_mapping = {
+        "hard_swish": "hardswish",
+    }
+    act = act_name_mapping.get(act, act)
+
+    attrs = ()
+    if use_cudnn:
+        attrs = ('use_cudnn', use_cudnn)
+    act_op = getattr(paddle._C_ops, act)
+    if act == 'softmax':
+        return act_op(input, -1)
+    return act_op(input, *attrs)