From cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0 Mon Sep 17 00:00:00 2001
From: Mihai Maruseac <mihaimaruseac@google.com>
Date: Wed, 28 Apr 2021 15:53:48 -0700
Subject: [PATCH] Prevent divisions by 0

---
 tensorflow/lite/kernels/depthwise_conv.cc | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tensorflow/lite/kernels/depthwise_conv.cc b/tensorflow/lite/kernels/depthwise_conv.cc
index 3f75287e..fb031926 100644
--- a/tensorflow/lite/kernels/depthwise_conv.cc
+++ b/tensorflow/lite/kernels/depthwise_conv.cc
@@ -276,6 +276,7 @@ TfLiteStatus ComputeDepthMultiplier(TfLiteContext* context,
                                     int16* depth_multiplier) {
   int num_filter_channels = SizeOfDimension(filter, 3);
   int num_input_channels = SizeOfDimension(input, 3);
+  TF_LITE_ENSURE(context, num_input_channels != 0);
   TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0);
 
   *depth_multiplier = num_filter_channels / num_input_channels;
@@ -446,8 +447,9 @@ TfLiteStatus EvalHybridPerChannel(TfLiteContext* context, TfLiteNode* node,
   float output_activation_min, output_activation_max;
   CalculateActivationRange(params->activation, &output_activation_min,
                            &output_activation_max);
-  const int input_size = NumElements(input) / SizeOfDimension(input, 0);
   const int batch_size = SizeOfDimension(input, 0);
+  TF_LITE_ENSURE(context, batch_size != 0);
+  const int input_size = NumElements(input) / batch_size;
   const TfLiteTensor* input_quantized =
       GetTemporary(context, node, data->input_quantized_index);
   int8_t* quantized_input_ptr_batch = input_quantized->data.int8;
-- 
2.23.0