From 1a2a87229d1d61e23a39373777c056161eb4084d Mon Sep 17 00:00:00 2001
From: Amit Patankar <amitpatankar@google.com>
Date: Wed, 28 Apr 2021 11:30:28 -0700
Subject: [PATCH] Fix FPE issue with `tf.raw_ops.FusedBatchNorm`.

PiperOrigin-RevId: 370948185
Change-Id: If0c8e0320062ed6363e94ff5fe38e6a301f69ac2
---
 tensorflow/core/kernels/fused_batch_norm_op.cc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tensorflow/core/kernels/fused_batch_norm_op.cc b/tensorflow/core/kernels/fused_batch_norm_op.cc
index 9b917348e2afa..e564b19857c38 100644
--- a/tensorflow/core/kernels/fused_batch_norm_op.cc
+++ b/tensorflow/core/kernels/fused_batch_norm_op.cc
@@ -293,6 +293,9 @@ struct FusedBatchNorm<CPUDevice, T, U, /* is_training= */ false> {
     const CPUDevice& d = context->eigen_device<CPUDevice>();
 
     const int depth = x.dimension(3);
+    OP_REQUIRES(
+        context, depth != 0,
+        errors::Internal("The 4th element in the input shape cannot be 0."));
     const int size = x.size();
     const int rest_size = size / depth;
     Eigen::DSizes<Eigen::Index, 2> rest_by_depth(rest_size, depth);