From e6dea906259195212959ad28803a1f57abac58e5 Mon Sep 17 00:00:00 2001
From: sunsuodong <sunsuodong@huawei.com>
Date: Tue, 25 Aug 2020 15:52:11 +0800
Subject: [PATCH] fix_fp16_conv1x1

---
 .../lite/src/runtime/kernel/arm/fp16/convolution_1x1_fp16.cc    | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_1x1_fp16.cc b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_1x1_fp16.cc
index ceca388d17..b5babf681d 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_1x1_fp16.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_1x1_fp16.cc
@@ -83,7 +83,6 @@ int Convolution1x1FP16CPUKernel::InitConv1x1Param() {
 }
 
 int Convolution1x1FP16CPUKernel::InitWeightBias() {
-  auto bias_tensor = in_tensors_.at(kBiasIndex);
   auto weight_tensor = in_tensors_.at(kWeightIndex);
   auto input_channel = weight_tensor->Channel();
   auto output_channel = weight_tensor->Batch();
@@ -96,6 +95,7 @@ int Convolution1x1FP16CPUKernel::InitWeightBias() {
   }
   memset(bias_data_, 0, size);
   if (in_tensors_.size() == 3) {
+    auto bias_tensor = in_tensors_.at(kBiasIndex);
     if (bias_tensor->data_type() == kNumberTypeFloat16) {
       memcpy(bias_data_, bias_tensor->Data(), output_channel * sizeof(float16_t));
     } else {