From bc7503c85ed35040d543f6dd26add6ce7ff4b603 Mon Sep 17 00:00:00 2001 From: jerrywgz Date: Fri, 24 Aug 2018 13:52:13 +0000 Subject: [PATCH] modified error_info for maxout_op --- paddle/fluid/operators/maxout_op.cc | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paddle/fluid/operators/maxout_op.cc b/paddle/fluid/operators/maxout_op.cc index 058115cb624..0a84eaf021c 100644 --- a/paddle/fluid/operators/maxout_op.cc +++ b/paddle/fluid/operators/maxout_op.cc @@ -71,10 +71,10 @@ class MaxOutOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { PADDLE_ENFORCE(ctx->HasInput("X"), - "Input(X) of MaxoutOp" + "Input tensor of MaxoutOp" "should not be null."); PADDLE_ENFORCE(ctx->HasOutput("Out"), - "Output(Out) of MaxoutOp should not be null."); + "Output tensor of MaxoutOp should not be null."); auto in_x_dims = ctx->GetInputDim("X"); int groups = ctx->Attrs().Get("groups"); // check groups > 1 @@ -90,9 +90,9 @@ class MaxOutOpGrad : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) must not be null."); + PADDLE_ENFORCE(ctx->HasInput("X"), "Input tensor must not be null."); PADDLE_ENFORCE(ctx->HasOutput(framework::GradVarName("X")), - "Input(X@GRAD) should not be null."); + "Output gradient tensor should not be null."); ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X")); } }; -- GitLab