From 32488a5c263fc9fbab9dc3592a8fa2079d030531 Mon Sep 17 00:00:00 2001
From: azhogov <alexander.zhogov@intel.com>
Date: Mon, 18 May 2020 13:17:10 +0300
Subject: [PATCH] Fix VS2017 compilation issue: Intermediate channels count
 type changed to size_t (cherry-pick master
 0f6155ac3616fb2a7b51cfaddfdad1cc189f968d)

---
 .../tests/functional/plugin/cpu/bfloat16/concat_in_place.cpp            | 2 +-
 inference-engine/tests/functional/plugin/cpu/bfloat16/elt_max.cpp       | 2 +-
 .../tests/functional/plugin/cpu/bfloat16/scaleshift_conv_x3_eltwise.cpp | 2 +-
 .../tests/functional/plugin/cpu/bfloat16/tail_fp32_optimization.cpp     | 2 +-
 .../tests/functional/plugin/cpu/bfloat16/topk_inputs_i32.cpp            | 2 +-
 5 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/inference-engine/tests/functional/plugin/cpu/bfloat16/concat_in_place.cpp b/inference-engine/tests/functional/plugin/cpu/bfloat16/concat_in_place.cpp
index 5037e20..6ab4fd3 100644
--- a/inference-engine/tests/functional/plugin/cpu/bfloat16/concat_in_place.cpp
+++ b/inference-engine/tests/functional/plugin/cpu/bfloat16/concat_in_place.cpp
@@ -25,7 +25,7 @@ using namespace InferenceEngine;
 
 namespace LayerTestsDefinitions {
 namespace {
-    static const int inputSize = 2, concatAxe = 1;
+    static const size_t inputSize = 2, concatAxe = 1;
     static std::vector<SizeVector> paramVector = {
             SizeVector({ 1, 1, inputSize, inputSize }),
             SizeVector({ 1, 2, inputSize, inputSize }),
diff --git a/inference-engine/tests/functional/plugin/cpu/bfloat16/elt_max.cpp b/inference-engine/tests/functional/plugin/cpu/bfloat16/elt_max.cpp
index 5c8e392..7e0e82c 100644
--- a/inference-engine/tests/functional/plugin/cpu/bfloat16/elt_max.cpp
+++ b/inference-engine/tests/functional/plugin/cpu/bfloat16/elt_max.cpp
@@ -39,7 +39,7 @@ protected:
         // STAGE1: construction of the GRAPH
         ngraph::element::Type ntype = (netPrecision == Precision::FP32) ? ngraph::element::f32 : ngraph::element::bf16;
         auto channelsCount = inputShapes[1];
-        const int conv0OutputChannels = 1;
+        const size_t conv0OutputChannels = 1;
 
         // add
         auto input1 = std::make_shared<opset1::Parameter>(ntype, ngraph::Shape{inputShapes});
diff --git a/inference-engine/tests/functional/plugin/cpu/bfloat16/scaleshift_conv_x3_eltwise.cpp b/inference-engine/tests/functional/plugin/cpu/bfloat16/scaleshift_conv_x3_eltwise.cpp
index 1a4fb81..48db4d7 100644
--- a/inference-engine/tests/functional/plugin/cpu/bfloat16/scaleshift_conv_x3_eltwise.cpp
+++ b/inference-engine/tests/functional/plugin/cpu/bfloat16/scaleshift_conv_x3_eltwise.cpp
@@ -44,7 +44,7 @@ protected:
 
         ngraph::element::Type ntype = (netPrecision == Precision::FP32) ? ngraph::element::f32 : ngraph::element::bf16;
         auto channelsCount = inputShapes[1];
-        const int outChannels = 16;
+        const size_t outChannels = 16;
 
         // multiply
         auto input1 = std::make_shared<opset1::Parameter>(ntype, ngraph::Shape{inputShapes});
diff --git a/inference-engine/tests/functional/plugin/cpu/bfloat16/tail_fp32_optimization.cpp b/inference-engine/tests/functional/plugin/cpu/bfloat16/tail_fp32_optimization.cpp
index 4ed11f7..0d7d312 100644
--- a/inference-engine/tests/functional/plugin/cpu/bfloat16/tail_fp32_optimization.cpp
+++ b/inference-engine/tests/functional/plugin/cpu/bfloat16/tail_fp32_optimization.cpp
@@ -41,7 +41,7 @@ protected:
 
         ngraph::element::Type ntype = (netPrecision == Precision::FP32) ? ngraph::element::f32 : ngraph::element::bf16;
         auto channelsCount = inputShapes[1];
-        const int outChannels = 16;
+        const size_t outChannels = 16;
 
         // multiply
         auto input1 = std::make_shared<opset1::Parameter>(ntype, ngraph::Shape{inputShapes});
diff --git a/inference-engine/tests/functional/plugin/cpu/bfloat16/topk_inputs_i32.cpp b/inference-engine/tests/functional/plugin/cpu/bfloat16/topk_inputs_i32.cpp
index 29ae8e0..8f278f7 100644
--- a/inference-engine/tests/functional/plugin/cpu/bfloat16/topk_inputs_i32.cpp
+++ b/inference-engine/tests/functional/plugin/cpu/bfloat16/topk_inputs_i32.cpp
@@ -42,7 +42,7 @@ protected:
 
         ngraph::element::Type ntype = (netPrecision == Precision::FP32) ? ngraph::element::f32 : ngraph::element::bf16;
         auto channelsCount = inputShapes[1];
-        const int intermediateChannelsCount = 16;
+        const size_t intermediateChannelsCount = 16;
 
         // multiply
         auto input1 = std::make_shared<opset1::Parameter>(ntype, ngraph::Shape{inputShapes});
-- 
2.7.4