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Deloitte Embauche LinkedIn Post The TFLite Micro DEPTHWISE_CONV_2D operator assumes that the filter tensor has rank 4, but does not validate the filter rank before accessing its dimensions. Wedding Event Decor

How To Structure LinkedIn Post A malformed rank-3 filter therefore causes Prepare() to access filter->dims->data[3], which is outside the allocated dimension array. An ASan build reports an out-of-bounds read during preparation. Medium Personal Blogs

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TEST(DepthwiseConvTest, RejectsRankThreeFilter) { float input_data[1] = {1.0f}; float filter_data[1] = {1.0f}; float output_data[1] = {0.0f}; int input_shape[] = {4, 1, 1, 1, 1}; int output_shape[] = {4, 1, 1, 1, 1}; // Rank-3 filter: [1, 1, 1]. int filter_shape[] = {3, 1, 1, 1}; TfLiteTensor tensors[] = { CreateTensor(input_data, IntArrayFromInts(input_shape)), CreateTensor(filter_data, IntArrayFromInts(filter_shape)), CreateTensor(output_data, IntArrayFromInts(output_shape)), }; int inputs[] = {2, 0, 1}; int outputs[] = {1, 2}; TfLiteDepthwiseConvParams params = {}; params.padding = kTfLitePaddingValid; params.stride_width = 1; params.stride_height = 1; params.dilation_width_factor = 1; params.dilation_height_factor = 1; params.depth_multiplier = 1; params.activation = kTfLiteActNone; tflite::micro::KernelRunner runner( tflite::Register_DEPTHWISE_CONV_2D(), tensors, 3, IntArrayFromInts(inputs), IntArrayFromInts(outputs), &params); EXPECT_EQ( kTfLiteError, runner.InitAndPrepare(reinterpret_cast<const char*>(&params))); }

Pinterest Instagram Story The filter has rank 3, so its valid dimension indexes are only 0..2. However, Prepare() accesses: Product Launch Media Pitching

filter->dims->data[3]

Thank You Footer before verifying that the filter has rank 4, resulting in an out-of-bounds read. Classroom Blogs For Students

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Beautician Visiting Card Validate that the filter tensor has the expected rank before accessing individual dimensions. A malformed filter should return kTfLiteError before filter->dims->data[3] is accessed. Instagram Story Stock