From 22fda6f37bff717cde122cf8325d35eba9a9ff6f Mon Sep 17 00:00:00 2001
From: Yermalayeu Ihar <ermig@tut.by>
Date: Wed, 16 Aug 2023 16:32:20 +0300
Subject: [PATCH] +add The mark of functions SimdSynetFusedLayerForward0,
 SimdSynetFusedLayerForward1, SimdSynetFusedLayerForward2,
 SimdSynetFusedLayerForward3, SimdSynetFusedLayerForward4,
 SimdSynetFusedLayerForward8, SimdSynetFusedLayerForward9 as deprecated.

---
 docs/2023.html                     |  7 +++++++
 docs/help/group__synet__fused.html | 21 ++++++++++++++-------
 src/Simd/SimdLib.h                 | 28 +++++++++++++++++++++-------
 3 files changed, 42 insertions(+), 14 deletions(-)

diff --git a/docs/2023.html b/docs/2023.html
index be4e5d067d..f0a039fcc5 100644
--- a/docs/2023.html
+++ b/docs/2023.html
@@ -69,6 +69,13 @@ <h5>New features</h5>
  <li>The mark of function Simd::InterferenceIncrementMasked as deprecated.</li>
  <li>The mark of function Simd::InterferenceDecrement as deprecated.</li>
  <li>The mark of function Simd::InterferenceDecrementMasked as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward0 as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward1 as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward2 as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward3 as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward4 as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward8 as deprecated.</li>
+ <li>The mark of function SimdSynetFusedLayerForward9 as deprecated.</li>
 </ul>
 <h5>Bug fixing</h5>
 <ul>
diff --git a/docs/help/group__synet__fused.html b/docs/help/group__synet__fused.html
index feb05eb4ae..28e7228fd6 100644
--- a/docs/help/group__synet__fused.html
+++ b/docs/help/group__synet__fused.html
@@ -50,25 +50,25 @@ <h1>Simd Library Documentation.</h1>
 <table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="func-members" name="func-members"></a>
 Functions</h2></td></tr>
-<tr class="memitem:ga237a326ebd07cf7eee8869968f9a046e"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga237a326ebd07cf7eee8869968f9a046e">SimdSynetFusedLayerForward0</a> (const float *src, const float *bias, const float *scale, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga237a326ebd07cf7eee8869968f9a046e"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga237a326ebd07cf7eee8869968f9a046e">SimdSynetFusedLayerForward0</a> (const float *src, const float *bias, const float *scale, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga237a326ebd07cf7eee8869968f9a046e"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 0).  <a href="group__synet__fused.html#ga237a326ebd07cf7eee8869968f9a046e">More...</a><br /></td></tr>
 <tr class="separator:ga237a326ebd07cf7eee8869968f9a046e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ga557fec9d7475d205385f66f21bbf4ce4"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga557fec9d7475d205385f66f21bbf4ce4">SimdSynetFusedLayerForward1</a> (const float *src, const float *bias0, const float *scale1, const float *bias1, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga557fec9d7475d205385f66f21bbf4ce4"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga557fec9d7475d205385f66f21bbf4ce4">SimdSynetFusedLayerForward1</a> (const float *src, const float *bias0, const float *scale1, const float *bias1, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga557fec9d7475d205385f66f21bbf4ce4"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 1).  <a href="group__synet__fused.html#ga557fec9d7475d205385f66f21bbf4ce4">More...</a><br /></td></tr>
 <tr class="separator:ga557fec9d7475d205385f66f21bbf4ce4"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ga1f764842f2b5e2e687c3cf66998bef6f"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga1f764842f2b5e2e687c3cf66998bef6f">SimdSynetFusedLayerForward2</a> (const float *src, const float *scale, const float *bias, size_t channels, size_t spatial, const float *slope, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga1f764842f2b5e2e687c3cf66998bef6f"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga1f764842f2b5e2e687c3cf66998bef6f">SimdSynetFusedLayerForward2</a> (const float *src, const float *scale, const float *bias, size_t channels, size_t spatial, const float *slope, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga1f764842f2b5e2e687c3cf66998bef6f"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 2).  <a href="group__synet__fused.html#ga1f764842f2b5e2e687c3cf66998bef6f">More...</a><br /></td></tr>
 <tr class="separator:ga1f764842f2b5e2e687c3cf66998bef6f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ga4f83727fe33b5a35b269d6a6848d3d1c"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga4f83727fe33b5a35b269d6a6848d3d1c">SimdSynetFusedLayerForward3</a> (const float *src, const float *scale, const float *bias, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga4f83727fe33b5a35b269d6a6848d3d1c"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga4f83727fe33b5a35b269d6a6848d3d1c">SimdSynetFusedLayerForward3</a> (const float *src, const float *scale, const float *bias, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga4f83727fe33b5a35b269d6a6848d3d1c"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 3).  <a href="group__synet__fused.html#ga4f83727fe33b5a35b269d6a6848d3d1c">More...</a><br /></td></tr>
 <tr class="separator:ga4f83727fe33b5a35b269d6a6848d3d1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ga03cf67eb882e27fcf8d316970438d0e7"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga03cf67eb882e27fcf8d316970438d0e7">SimdSynetFusedLayerForward4</a> (const float *src, const float *bias0, const float *scale1, const float *bias1, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga03cf67eb882e27fcf8d316970438d0e7"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga03cf67eb882e27fcf8d316970438d0e7">SimdSynetFusedLayerForward4</a> (const float *src, const float *bias0, const float *scale1, const float *bias1, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga03cf67eb882e27fcf8d316970438d0e7"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 4).  <a href="group__synet__fused.html#ga03cf67eb882e27fcf8d316970438d0e7">More...</a><br /></td></tr>
 <tr class="separator:ga03cf67eb882e27fcf8d316970438d0e7"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ga730de793df8505f2403e2040d1a29dd1"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga730de793df8505f2403e2040d1a29dd1">SimdSynetFusedLayerForward8</a> (const float *src0, const float *src1, const float *src2, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga730de793df8505f2403e2040d1a29dd1"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga730de793df8505f2403e2040d1a29dd1">SimdSynetFusedLayerForward8</a> (const float *src0, const float *src1, const float *src2, size_t channels, size_t spatial, float *dst, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga730de793df8505f2403e2040d1a29dd1"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 8).  <a href="group__synet__fused.html#ga730de793df8505f2403e2040d1a29dd1">More...</a><br /></td></tr>
 <tr class="separator:ga730de793df8505f2403e2040d1a29dd1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ga0d874e937218ac08d0708452b450bf84"><td class="memItemLeft" align="right" valign="top">SIMD_API void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga0d874e937218ac08d0708452b450bf84">SimdSynetFusedLayerForward9</a> (const float *src0, const float *src1, const float *scale, const float *bias, size_t channels0, size_t channels1, size_t spatial, float *dst0, float *dst1, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
+<tr class="memitem:ga0d874e937218ac08d0708452b450bf84"><td class="memItemLeft" align="right" valign="top">SIMD_API SIMD_DEPRECATED void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__synet__fused.html#ga0d874e937218ac08d0708452b450bf84">SimdSynetFusedLayerForward9</a> (const float *src0, const float *src1, const float *scale, const float *bias, size_t channels0, size_t channels1, size_t spatial, float *dst0, float *dst1, <a class="el" href="group__synet__types.html#ga9d571aa9489cf536d4df8eef93aebc6f">SimdTensorFormatType</a> format)</td></tr>
 <tr class="memdesc:ga0d874e937218ac08d0708452b450bf84"><td class="mdescLeft">&#160;</td><td class="mdescRight">This function is used for forward propagation of FusedLayer (type 9).  <a href="group__synet__fused.html#ga0d874e937218ac08d0708452b450bf84">More...</a><br /></td></tr>
 <tr class="separator:ga0d874e937218ac08d0708452b450bf84"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table>
@@ -140,6 +140,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga237a326ebd07cf7eee88699
         dst[o] = (x - abs(x))*scale[c] + max(0, x);
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src</td><td>- a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial. </td></tr>
@@ -226,6 +227,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga557fec9d7475d205385f66f
         dst[o] = max(0, -x)*scale1[c] + bias1[c] + max(0, x);
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src</td><td>- a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial. </td></tr>
@@ -313,6 +315,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga1f764842f2b5e2e687c3cf6
         dst[o] = max(0, x) + min(0, x)*slope[0];
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src</td><td>- a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial. </td></tr>
@@ -394,6 +397,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga4f83727fe33b5a35b269d6a
         dst[o] = max(0, x) + min(0, x)*scale[c];
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src</td><td>- a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial. </td></tr>
@@ -480,6 +484,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga03cf67eb882e27fcf8d3169
         dst[(c + channels)*spatial + s] = std::max((T)0, x*scale1[0] + bias1[0]);
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src</td><td>- a pointer to the 32-bit float array with input image tensor. The size of the array is is equal to channels * spatial. </td></tr>
@@ -560,6 +565,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga730de793df8505f2403e204
         dst[o] = src0[o] + src1[o]*src2[c];
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src0</td><td>- a pointer to the first input 32-bit float array. The size of the array is equal to channels * spatial. </td></tr>
@@ -665,6 +671,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ga0d874e937218ac08d070845
             dst1[(c + channels0)*spatial + s] = src1[c*spatial + s];
     }
 </pre><dl class="section note"><dt>Note</dt><dd>This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.</dd></dl>
+<dl class="section warning"><dt>Warning</dt><dd>This function is deprecatedand can be removed in the future.</dd></dl>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">src0</td><td>- a pointer to the first input 32-bit float array. The size of the array is equal to channels0 * spatial. </td></tr>
diff --git a/src/Simd/SimdLib.h b/src/Simd/SimdLib.h
index 4af5564d73..e163aab8d0 100644
--- a/src/Simd/SimdLib.h
+++ b/src/Simd/SimdLib.h
@@ -7078,6 +7078,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src - a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial.
         \param [in] bias - a pointer to the 32-bit float array with bias coefficients. The size of the array is equal to channels.
         \param [in] scale - a pointer to the 32-bit float array with scale coefficients. The size of the array is equal to channels.
@@ -7086,7 +7088,7 @@ extern "C"
         \param [out] dst - a pointer to the 32-bit float array with output image tensor. The size of the array is equal to channels * spatial.
         \param [in] format - a format of (input/output) image tensor.
     */
-    SIMD_API void SimdSynetFusedLayerForward0(const float * src, const float * bias, const float * scale, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward0(const float * src, const float * bias, const float * scale, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
 
     /*! @ingroup synet_fused
 
@@ -7107,6 +7109,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src - a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial.
         \param [in] bias0 - a pointer to the 32-bit float array with bias0 coefficients. The size of the array is equal to channels.
         \param [in] scale1 - a pointer to the 32-bit float array with scale1 coefficients. The size of the array is equal to channels.
@@ -7116,7 +7120,7 @@ extern "C"
         \param [out] dst - a pointer to the 32-bit float array with output image tensor. The size of the array is equal to channels * spatial.
         \param [in] format - a format of (input/output) image tensor.
         */
-    SIMD_API void SimdSynetFusedLayerForward1(const float * src, const float * bias0, const float * scale1, const float * bias1, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward1(const float * src, const float * bias0, const float * scale1, const float * bias1, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
 
     /*! @ingroup synet_fused
 
@@ -7137,6 +7141,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src - a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial.
         \param [in] scale - a pointer to the 32-bit float array with scale coefficients. The size of the array is equal to channels.
         \param [in] bias - a pointer to the 32-bit float array with bias coefficients. The size of the array is equal to channels.
@@ -7146,7 +7152,7 @@ extern "C"
         \param [out] dst - a pointer to the 32-bit float array with output image tensor. The size of the array is equal to channels * spatial.
         \param [in] format - a format of (input/output) image tensor.
         */
-    SIMD_API void SimdSynetFusedLayerForward2(const float * src, const float * scale, const float * bias, size_t channels, size_t spatial, const float * slope, float * dst, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward2(const float * src, const float * scale, const float * bias, size_t channels, size_t spatial, const float * slope, float * dst, SimdTensorFormatType format);
 
     /*! @ingroup synet_fused
 
@@ -7167,6 +7173,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src - a pointer to the 32-bit float array with input image tensor. The size of the array is equal to channels * spatial.
         \param [in] bias - a pointer to the 32-bit float array with bias coefficients. The size of the array is equal to channels.
         \param [in] scale - a pointer to the 32-bit float array with scale coefficients. The size of the array is equal to channels.
@@ -7175,7 +7183,7 @@ extern "C"
         \param [out] dst - a pointer to the 32-bit float array with output image tensor. The size of the array is equal to channels * spatial.
         \param [in] format - a format of (input/output) image tensor.
         */
-    SIMD_API void SimdSynetFusedLayerForward3(const float * src, const float * scale, const float * bias, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward3(const float * src, const float * scale, const float * bias, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
 
     /*! @ingroup synet_fused
 
@@ -7196,6 +7204,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src - a pointer to the 32-bit float array with input image tensor. The size of the array is is equal to channels * spatial.
         \param [in] bias0 - a pointer to the 32-bit float array with bias0 coefficients. The size of the array is is equal to channels.
         \param [in] scale1 - a pointer to the 32-bit float array with scale1 coefficients. The size of the array is 1.
@@ -7205,7 +7215,7 @@ extern "C"
         \param [out] dst - a pointer to the 32-bit float array with output image tensor. The size of the array is is equal to 2 * channels * spatial.
         \param [in] format - a format of (input/output) image tensor.
         */
-    SIMD_API void SimdSynetFusedLayerForward4(const float * src, const float * bias0, const float * scale1, const float * bias1, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward4(const float * src, const float * bias0, const float * scale1, const float * bias1, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
 
     /*! @ingroup synet_fused
 
@@ -7225,6 +7235,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src0 - a pointer to the first input 32-bit float array. The size of the array is equal to channels * spatial.
         \param [in] src1 - a pointer to the second input 32-bit float array. The size of the array is equal to channels * spatial.
         \param [in] src2 - a pointer to the third input 32-bit float array. The size of the array is equal to channels.
@@ -7233,7 +7245,7 @@ extern "C"
         \param [out] dst - a pointer to the output 32-bit float array. The size of the array is equal to channels * spatial.
         \param [in] format - a format of (input/output) image tensor.
         */
-    SIMD_API void SimdSynetFusedLayerForward8(const float * src0, const float * src1, const float * src2, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward8(const float * src0, const float * src1, const float * src2, size_t channels, size_t spatial, float * dst, SimdTensorFormatType format);
 
     /*! @ingroup synet_fused
 
@@ -7261,6 +7273,8 @@ extern "C"
 
         \note This function is used in <a href="http://github.com/ermig1979/Synet">Synet Framework</a>.
 
+        \warning This function is deprecatedand can be removed in the future.
+
         \param [in] src0 - a pointer to the first input 32-bit float array. The size of the array is equal to channels0 * spatial.
         \param [in] src1 - a pointer to the second input 32-bit float array. The size of the array is equal to channels1 * spatial.
         \param [in] scale - a pointer to the 32-bit float array with scale coefficients. The size of the array is equal to channels0 + channels1.
@@ -7272,7 +7286,7 @@ extern "C"
         \param [out] dst1 - a pointer to the second output 32-bit float array. The size of the array is equal to (channels0 + channels1) * spatial. The pointer can be NULL.
         \param [in] format - a format of (input/output) image tensor.
     */
-    SIMD_API void SimdSynetFusedLayerForward9(const float * src0, const float * src1, const float * scale, const float * bias, size_t channels0, size_t channels1, size_t spatial, float * dst0, float * dst1, SimdTensorFormatType format);
+    SIMD_API SIMD_DEPRECATED void SimdSynetFusedLayerForward9(const float * src0, const float * src1, const float * scale, const float * bias, size_t channels0, size_t channels1, size_t spatial, float * dst0, float * dst1, SimdTensorFormatType format);
 
     /*! @ingroup synet_activation