From 062ff4d77b61fc72b0654064911b193714cfb18f Mon Sep 17 00:00:00 2001 From: Yang Yang Date: Tue, 10 Oct 2017 19:07:21 +0000 Subject: [PATCH] clean up --- paddle/framework/executor.cc | 14 +------------- paddle/framework/executor_test.cc | 8 +++----- 2 files changed, 4 insertions(+), 18 deletions(-) diff --git a/paddle/framework/executor.cc b/paddle/framework/executor.cc index f4cc37cfa68..def1d1fd06a 100644 --- a/paddle/framework/executor.cc +++ b/paddle/framework/executor.cc @@ -72,7 +72,7 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope, int block_id) { Scope& local_scope = scope->NewScope(); std::vector should_run = Prune(pdesc, block_id); - PADDLE_ENFORCE_EQ(should_run.size(), block.ops_size()); + PADDLE_ENFORCE_EQ(should_run.size(), static_cast(block.ops_size())); for (size_t i = 0; i < should_run.size(); ++i) { if (should_run[i]) { for (auto& var : block.ops(i).outputs()) { @@ -82,17 +82,7 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope, int block_id) { } } } - LOG(INFO) << block.ops(i).type(); - if (block.ops(i).type() == "sum") { - LOG(INFO) << "Here"; - for (auto& var : block.ops(i).inputs()) { - for (auto& argu : var.arguments()) { - LOG(INFO) << var.parameter() << " " << argu; - } - } - } auto op = paddle::framework::OpRegistry::CreateOp(block.ops(i)); - LOG(INFO) << op->DebugString(); op->Run(local_scope, *device); } } @@ -152,10 +142,8 @@ std::vector Executor::Prune(const ProgramDesc& pdesc, int block_id) { } } - LOG(INFO) << "1 " << op_desc.type(); should_run.push_back(true); } else { - LOG(INFO) << "0 " << op_desc.type(); should_run.push_back(false); } } diff --git a/paddle/framework/executor_test.cc b/paddle/framework/executor_test.cc index ce8b599e0e5..5ad5b98e7b2 100644 --- a/paddle/framework/executor_test.cc +++ b/paddle/framework/executor_test.cc @@ -131,15 +131,13 @@ class ExecutorTesterRandom : public ::testing::Test { paddle::framework::BlockDescBind* root_block = program.Block(0); // feed data - inputs_.push_back({1.0, 2.0, 3.0, 4.0, 5.0, 6.0}); + inputs_.push_back({1.0, 1.0, 1.0, 1.0, 1.0, 1.0}); dims_.push_back({batch_size, input_dim}); AddOp("feed", {}, {{"Out", {"a"}}}, {{"dims", std::vector{batch_size, input_dim}}, {"col", 0}}, root_block); // forward - // AddOp("gaussian_random", {}, {{"Out", {"a"}}}, - // {{"dims", std::vector{batch_size, input_dim}}}, root_block); AddOp("mul", {{"X", {"a"}}, {"Y", {"w1"}}}, {{"Out", {"b"}}}, {}, root_block); AddOp("mul", {{"X", {"b"}}, {"Y", {"w2"}}}, {{"Out", {"a_out"}}}, {}, @@ -156,7 +154,8 @@ class ExecutorTesterRandom : public ::testing::Test { // update AddOp("fill_constant", {}, {{"Out", {"learning_rate"}}}, - {{"shape", std::vector{1}}, {"value", float(1.0)}}, root_block); + {{"shape", std::vector{1}}, {"value", float(0.001)}}, + root_block); AddOp("sgd", {{"Param", {"w1"}}, {"LearningRate", {"learning_rate"}}, {"Grad", {"w1@GRAD"}}}, @@ -285,7 +284,6 @@ TEST_F(ExecutorTesterRandom, GPU) { for (int batch_id = 0; batch_id < 3; batch_id++) { SetFeedVariable(inputs_, dims_); executor->Run(pdesc_, GetGlobalScope(), 0); - std::vector> result = GetFetchVariable(); } } -- GitLab