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Fix parallel.do with batch norm #8186

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reyoung
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@reyoung reyoung commented Feb 6, 2018

Related issue #8153

@@ -248,6 +248,8 @@ class ParallelDoGradOp : public framework::OperatorBase {
const std::vector<framework::Scope *> &sub_scopes,
const platform::PlaceList &places) const {
for (auto &s : Outputs(framework::GradVarName(kParameters))) {
VLOG(10) << "Accumulating " << s;
if (s == framework::kEmptyVarName) continue;
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@reyoung reyoung Feb 6, 2018

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Do not accumulate @EMPTY@

PADDLE_ENFORCE(ctx->HasOutputs(framework::GradVarName(kParameters)));
ctx->SetOutputsDim(framework::GradVarName(kParameters),
ctx->GetInputsDim(kParameters));
auto p_dims = ctx->GetInputsDim(kParameters);
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If parameter gradient is empty, do not infer shape.

@@ -274,21 +274,20 @@ def get_parameters(self):
parent_block = self.parent_block()

local_inputs = set()

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The previous logic cannot calculate parameters that used and updated by the same operator.

@tonyyang-svail
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tonyyang-svail commented Feb 6, 2018

For the purpose of this PR, please ignore the nccl error: unhandled cuda error. Possible reason: #8195

Update: it turns out the driver version of 199 is not enough. @helinwang is updating it.

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reyoung commented Feb 8, 2018

Merged by #8249

@reyoung reyoung closed this Feb 8, 2018
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2 participants