diff --git a/paddle/fluid/operators/detection/density_prior_box_op.cc b/paddle/fluid/operators/detection/density_prior_box_op.cc index f9ea1dc67d9dcdfb8de7e91bc348e50f5d03e319..17c8b757bc1d9327b68a9a6532534cfd77e9a320 100644 --- a/paddle/fluid/operators/detection/density_prior_box_op.cc +++ b/paddle/fluid/operators/detection/density_prior_box_op.cc @@ -29,11 +29,23 @@ class DensityPriorBoxOp : public framework::OperatorWithKernel { PADDLE_ENFORCE(image_dims.size() == 4, "The layout of image is NCHW."); PADDLE_ENFORCE(input_dims.size() == 4, "The layout of input is NCHW."); - PADDLE_ENFORCE_LT(input_dims[2], image_dims[2], - "The height of input must smaller than image."); - - PADDLE_ENFORCE_LT(input_dims[3], image_dims[3], - "The width of input must smaller than image."); + if (ctx->IsRuntime()) { + PADDLE_ENFORCE_LT( + input_dims[2], image_dims[2], + platform::errors::InvalidArgument( + "The input tensor Input's height" + "of DensityPriorBoxOp should be smaller than input tensor Image's" + "hight. But received Input's height = %d, Image's height = %d", + input_dims[2], image_dims[2])); + + PADDLE_ENFORCE_LT( + input_dims[3], image_dims[3], + platform::errors::InvalidArgument( + "The input tensor Input's width" + "of DensityPriorBoxOp should be smaller than input tensor Image's" + "width. But received Input's width = %d, Image's width = %d", + input_dims[3], image_dims[3])); + } auto variances = ctx->Attrs().Get>("variances"); auto fixed_sizes = ctx->Attrs().Get>("fixed_sizes"); @@ -55,10 +67,13 @@ class DensityPriorBoxOp : public framework::OperatorWithKernel { dim_vec[3] = 4; ctx->SetOutputDim("Boxes", framework::make_ddim(dim_vec)); ctx->SetOutputDim("Variances", framework::make_ddim(dim_vec)); - } else { + } else if (ctx->IsRuntime()) { int64_t dim0 = input_dims[2] * input_dims[3] * num_priors; ctx->SetOutputDim("Boxes", {dim0, 4}); ctx->SetOutputDim("Variances", {dim0, 4}); + } else { + ctx->SetOutputDim("Boxes", {-1, 4}); + ctx->SetOutputDim("Variances", {-1, 4}); } }