Fixed segfault NEDeconvLayer due to overflow.
* The CTS test TestRandomGraph/RandomGraphTest#SmallGraph_TENSOR_FLOAT16_Rank4/43 segfaulted when
running on CpuAcc + 8-2a.
* Added a guard against overflow in DeconvLayer::validate
* Resolves: COMPMID-4115
Change-Id: I6687b67dbde3921a2795224e8107a9add9d358ff
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4890
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
index 2b5b008..348c013 100644
--- a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -122,6 +122,17 @@
uint32_t deconv_pad_y = 0;
const unsigned int stride_x = info.stride().first;
const unsigned int stride_y = info.stride().second;
+ // Guard against overflows in compute_deconvolution_upsampled_shape()
+ const DataLayout data_layout = input->data_layout();
+ const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+ const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ const unsigned int out_x = (input->dimension(idx_w) - 1) * stride_x + 1;
+ const unsigned int out_y = (input->dimension(idx_h) - 1) * stride_y + 1;
+ ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_w) > out_x);
+ ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_h) > out_y);
+ ARM_COMPUTE_RETURN_ERROR_ON((out_x - weights->dimension(idx_w) + 1) > out_dims.first);
+ ARM_COMPUTE_RETURN_ERROR_ON((out_y - weights->dimension(idx_h) + 1 ) > out_dims.second);
+
const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, out_dims, deconv_pad_x, deconv_pad_y);
TensorInfo scale_out_info(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(scale_out_shape));
const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL);