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OP报错信息优化 #27301

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merged 2 commits into from
Sep 17, 2020
Merged

OP报错信息优化 #27301

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0b30c88
paddle/fluid/operators/distributed_ops OP报错信息优化
gavin1332 Sep 14, 2020
5548530
fix typo
gavin1332 Sep 14, 2020
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fix typo 
test=develop
  • Loading branch information
@gavin1332
gavin1332 committed Sep 15, 2020
commit 554853042228fbb961ccfab38843e91ef4952d7a
20 changes: 10 additions & 10 deletions paddle/fluid/operators/distributed_ops/listen_and_serv_op.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -134,7 +134,7 @@ void ListenAndServOp::RunSyncLoop(
auto optimize_blocks =
Attr<std::vector<framework::BlockDesc *>>(kOptimizeBlocks);
PADDLE_ENFORCE_GE(num_blocks, 2,
paddle::error::PreconditionNotMet(
platform::errors::PreconditionNotMet(
"Invalid number of blocks in server program. Expected "
"equal or greater than 2. Recieved %zu",
num_blocks));
Expand Down Expand Up @@ -221,7 +221,7 @@ void ListenAndServOp::ResetReceivedVars(framework::Scope *recv_scope,
VLOG(3) << "reset sparse var: " << varname;
var->GetMutable<framework::SelectedRows>()->mutable_rows()->clear();
} else {
PADDLE_THROW(paddle::errors::PreconditionNotMet(
PADDLE_THROW(platform::errors::PreconditionNotMet(
"The type of sparse var should be SelectedRows"));
}
}
Expand All @@ -239,7 +239,7 @@ void ListenAndServOp::ResetReceivedVars(framework::Scope *recv_scope,
math::set_constant(*dev_ctx, var->GetMutable<framework::Tensor>(),
static_cast<float>(0));
} else {
PADDLE_THROW(paddle::errors::PreconditionNotMet(
PADDLE_THROW(platform::errors::PreconditionNotMet(
"The type of dense var should be in [LoDTensor, Tensor]"));
}
}
Expand All @@ -260,14 +260,14 @@ void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,
split(grad_and_id, ':', &pieces);
VLOG(3) << "after split, key = " << pieces[0] << ", id=" << pieces[1];
PADDLE_ENFORCE_EQ(pieces.size(), 2,
paddle::errors::PreconditionNotMet(
platform::errors::PreconditionNotMet(
"Invalid format of grad_and_id argument. "
"Expected \"grad:block_id\". Recieved %s",
grad_and_id.c_str()));
PADDLE_ENFORCE_EQ(out_map->count(pieces[0]), 0,
paddle::errors::AlreadyExists(
platform::errors::AlreadyExists(
"The gradient name %s has already existed in out_map",
piece[0].c_str()));
pieces[0].c_str()));

int block_id = std::stoi(pieces[1]);
(*out_map)[pieces[0]] = block_id;
Expand All @@ -279,7 +279,7 @@ void ListenAndServOp::RunAsyncLoop(framework::Executor *executor,

size_t num_blocks = program->Size();
PADDLE_ENFORCE_GE(num_blocks, 2,
paddle::error::PreconditionNotMet(
platform::errors::PreconditionNotMet(
"Invalid number of blocks in server program. Expected "
"equal or greater than 2. Recieved %zu",
num_blocks));
Expand Down Expand Up @@ -357,7 +357,7 @@ void ListenAndServOp::CacheVarsType(const std::vector<std::string> &varnames,
var->IsType<framework::Tensor>()) {
dense_vars_.push_back(varname);
} else {
PADDLE_THROW(paddle::errors::PreconditionNotMet(
PADDLE_THROW(platform::errors::PreconditionNotMet(
"The type of received var should be in [SelectedRows, LoDTensor, "
"Tensor]."));
}
Expand Down Expand Up @@ -467,7 +467,7 @@ void ListenAndServOp::RunImpl(const framework::Scope &scope,
<< ", id=" << pieces[1];
PADDLE_ENFORCE_EQ(
pieces.size(), 2,
paddle::errors::PreconditionNotMet(
platform::errors::PreconditionNotMet(
"Invalid format of prefetch_var_name_and_id argument. "
"Expected \"xxx:xxx\". Recieved %s",
prefetch_var_name_and_id.c_str()));
Expand Down Expand Up @@ -498,7 +498,7 @@ void ListenAndServOp::RunImpl(const framework::Scope &scope,
split(sparse_grad_name_and_param_name, ':', &pieces);
PADDLE_ENFORCE_EQ(
pieces.size(), 2,
paddle::errors::PreconditionNotMet(
platform::errors::PreconditionNotMet(
"Invalid format of sparse_grad_name_and_param_name argument. "
"Expected \"xxx:xxx\". Recieved %s",
sparse_grad_name_and_param_name.c_str()));
Expand Down