From 981d1a1067098f9de39cf19eeaec9d049e1fdd8a Mon Sep 17 00:00:00 2001 From: zhangbo9674 <82555433+zhangbo9674@users.noreply.github.com> Date: Fri, 11 Nov 2022 14:19:43 +0800 Subject: [PATCH] Refine shape op lanch method for standalone executor (#47843) * refine shape op in new_exe * Revert "refine shape op in new_exe" This reverts commit 0e0336ddc5eede3da019b348a0bcc0ef0f3be64e. * refine shape op in new_exe * refine shape expected_kernel_type * add SelectedRows check for shape op * refine code --- .../interpreter/interpreter_util.cc | 3 + .../framework/new_executor/stream_analyzer.cc | 14 ++++- paddle/fluid/framework/operator.cc | 7 --- paddle/fluid/framework/operator_test.cc | 55 ------------------- paddle/fluid/operators/shape_op.cc | 3 + 5 files changed, 19 insertions(+), 63 deletions(-) diff --git a/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc b/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc index 7739aa0aa4..167f247965 100644 --- a/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc +++ b/paddle/fluid/framework/new_executor/interpreter/interpreter_util.cc @@ -321,6 +321,9 @@ OpFuncType AnalyseOpFuncType(const OpFuncNode& op_func_node, return OpFuncType::kQueueSync; } + if (op->Type() == "shape") { + return OpFuncType::kQueueSync; + } return OpFuncType::kQueueAsync; } diff --git a/paddle/fluid/framework/new_executor/stream_analyzer.cc b/paddle/fluid/framework/new_executor/stream_analyzer.cc index 4f50c2175c..3a94dd63db 100644 --- a/paddle/fluid/framework/new_executor/stream_analyzer.cc +++ b/paddle/fluid/framework/new_executor/stream_analyzer.cc @@ -90,6 +90,13 @@ std::vector StreamAnalyzer::GetNeedEventVarIds( return false; }; + auto is_shape_op = [](std::string op_name) { + if (op_name == "shape") { + return true; + } + return false; + }; + bool is_memcpy = interpreter::IsMemcpyOp(cur_instr) || interpreter::IsMemcpyOp(next_instr); @@ -97,7 +104,7 @@ std::vector StreamAnalyzer::GetNeedEventVarIds( for (auto& item : next_instr.Inputs()) { for (auto var_id : item.second) { if (unique_var_ids.count(var_id) > 0) { - if (is_memcpy) { + if (is_memcpy || is_shape_op(next_instr.OpBase()->Type())) { if (next_instr.NoDataTransformVars().count(var_id)) { VLOG(4) << "Skip inserting event at variable " << item.first << " of operator " << next_instr.OpBase()->Type() @@ -239,6 +246,11 @@ platform::DeviceContext* StreamAnalyzer::ParseDeviceContext( */ bool StreamAnalyzer::IsDirectRun(Instruction& cur_instr, const Instruction& next_instr) { + if ((cur_instr.KernelType() == OpFuncType::kQueueSync) && + (next_instr.KernelType() == OpFuncType::kQueueSync)) { + return true; + } + if (cur_instr.KernelType() == next_instr.KernelType() && (&cur_instr.DeviceContext() == &next_instr.DeviceContext())) { return true; diff --git a/paddle/fluid/framework/operator.cc b/paddle/fluid/framework/operator.cc index ec931e5a63..c28947c75d 100644 --- a/paddle/fluid/framework/operator.cc +++ b/paddle/fluid/framework/operator.cc @@ -2553,13 +2553,6 @@ void OperatorWithKernel::ParseInputDataType( } } if (t != nullptr) { - PADDLE_ENFORCE_EQ(t->IsInitialized(), - true, - platform::errors::InvalidArgument( - "The %s Op's Input Variable `%s` " - "contains uninitialized phi::DenseTensor.", - Type(), - name)); *data_type = paddle::framework::TransToProtoVarType(t->dtype()); } } diff --git a/paddle/fluid/framework/operator_test.cc b/paddle/fluid/framework/operator_test.cc index 80455bc98e..a7b597fdb3 100644 --- a/paddle/fluid/framework/operator_test.cc +++ b/paddle/fluid/framework/operator_test.cc @@ -429,61 +429,6 @@ REGISTER_OP_CPU_KERNEL( indicate_other_data_type_test, paddle::framework::EmptyTestKernel); -TEST(IndicateVarDataTypeTest, lodtensor) { - paddle::framework::InitDevices(); - paddle::framework::proto::OpDesc op_desc; - op_desc.set_type("indicate_lod_tensor_data_type_test"); - BuildVar("phi::DenseTensor", {"lodtensor_1"}, op_desc.add_inputs()); - - paddle::platform::CPUPlace cpu_place; - paddle::framework::Scope scope; - - auto op = paddle::framework::OpRegistry::CreateOp(op_desc); - auto* var = scope.Var("lodtensor_1"); - var->GetMutable(); - - bool caught = false; - try { - op->Run(scope, cpu_place); - } catch (paddle::platform::EnforceNotMet& err) { - caught = true; - std::string ex_msg = err.what(); - EXPECT_TRUE( - ex_msg.find( - "The indicate_lod_tensor_data_type_test Op's Input Variable " - "`phi::DenseTensor` contains uninitialized phi::DenseTensor.") != - std::string::npos); - } - ASSERT_TRUE(caught); -} - -TEST(IndicateVarDataTypeTest, selectedrows) { - paddle::framework::InitDevices(); - paddle::framework::proto::OpDesc op_desc; - op_desc.set_type("indicate_selected_rows_data_type_test"); - BuildVar("SelectedRows", {"selected_rows_1"}, op_desc.add_inputs()); - - paddle::platform::CPUPlace cpu_place; - paddle::framework::Scope scope; - - auto op = paddle::framework::OpRegistry::CreateOp(op_desc); - auto* var = scope.Var("selected_rows_1"); - var->GetMutable(); - - bool caught = false; - try { - op->Run(scope, cpu_place); - } catch (paddle::platform::EnforceNotMet& err) { - caught = true; - std::string ex_msg = err.what(); - EXPECT_TRUE( - ex_msg.find("The indicate_selected_rows_data_type_test Op's " - "Input Variable `SelectedRows` contains uninitialized " - "phi::DenseTensor.") != std::string::npos); - } - ASSERT_TRUE(caught); -} - TEST(IndicateVarDataTypeTest, other) { paddle::framework::InitDevices(); paddle::framework::proto::OpDesc op_desc; diff --git a/paddle/fluid/operators/shape_op.cc b/paddle/fluid/operators/shape_op.cc index 445514ab9b..3a243f24ff 100644 --- a/paddle/fluid/operators/shape_op.cc +++ b/paddle/fluid/operators/shape_op.cc @@ -60,6 +60,8 @@ Return the shape of the input. } }; +DECLARE_NO_NEED_BUFFER_VARS_INFERER(ShapeNoNeedBufferVarsInferer, "Input"); + } // namespace operators } // namespace paddle @@ -76,4 +78,5 @@ REGISTER_OPERATOR( ops::ShapeOpMaker, paddle::framework::EmptyGradOpMaker, paddle::framework::EmptyGradOpMaker, + ops::ShapeNoNeedBufferVarsInferer, ShapeInferShapeFunctor); -- GitLab