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| <a href="scale_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="warp__helpers_8h.xhtml">warp_helpers.h</a>"</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">/** Transforms four 2D coordinates. This is used to map the output coordinates to the input coordinates.</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> *</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> * @param[in] coord 2D coordinates to transform.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> * @param[in] scale input/output scale ratio</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> *</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> * @return a float8 containing 4 2D transformed values in the input image.</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> */</span></div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="scale_8cl.xhtml#a55c710b814464d9b8982c4eb6ca04dee"> 34</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> float8 <a class="code" href="scale_8cl.xhtml#a55c710b814464d9b8982c4eb6ca04dee">transform_nearest</a>(<span class="keyword">const</span> float2 coord, <span class="keyword">const</span> float2 <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#ifdef SAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> float4 in_x_coords = (float4)(coord.s0, 1 + coord.s0, 2 + coord.s0, 3 + coord.s0);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">const</span> float4 new_x = in_x_coords * (float4)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s0);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> float4 new_y = (float4)(coord.s1 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s1);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#elif SAMPLING_POLICY_CENTER</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> float4 in_x_coords = (float4)(coord.s0, 1 + coord.s0, 2 + coord.s0, 3 + coord.s0);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> float4 new_x = (in_x_coords + ((float4)(0.5f))) * (float4)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s0);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> float4 new_y = (float4)((coord.s1 + 0.5f) * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s1);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#else </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#error("Unsupported sampling policy");</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#endif </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">/** Transforms four 2D coordinates. This is used to map the output coordinates to the input coordinates.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> *</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * @param[in] coord 2D coordinates to transform.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param[in] scale input/output scale ratio</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> *</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * @return a float8 containing 4 2D transformed values in the input image.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> */</span></div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="scale_8cl.xhtml#a1990e87858b15b8fce3f63965fb9b86c"> 58</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> float8 <a class="code" href="scale_8cl.xhtml#a1990e87858b15b8fce3f63965fb9b86c">transform_bilinear</a>(<span class="keyword">const</span> float2 coord, <span class="keyword">const</span> float2 <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> float4 in_x_coords = (float4)(coord.s0, 1 + coord.s0, 2 + coord.s0, 3 + coord.s0);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#ifdef SAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> float4 new_x = in_x_coords * (float4)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s0);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> float4 new_y = (float4)(coord.s1 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s1);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#elif SAMPLING_POLICY_CENTER</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> float4 new_x = (in_x_coords + ((float4)(0.5f))) * (float4)(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s0) - (float4)(0.5f);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> float4 new_y = (float4)((coord.s1 + 0.5f) * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>.s1 - 0.5f);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#else </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor">#error("Unsupported sampling policy");</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor">#endif </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"></span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment">/** Performs an affine transformation on an image interpolating with the NEAREAST NEIGHBOUR method. Input and output are single channel U8 or S16.</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> *</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> * @note Sampling policy to used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> *</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> * @param[in] in_ptr Pointer to the source image. Supported data types: U8, S16.</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> * @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> * @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: U8, S16. (Must be the same as the input)</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> * @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> * @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> * @param[in] input_width Input image width</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> * @param[in] input_height Input image height</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> * @param[in] scale_x The scale factor along x dimension</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> * @param[in] scale_y The scale factor along y dimension</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> */</span></div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="scale_8cl.xhtml#ab0d36306b50e1c7961dfa9337d73ecbb"> 95</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="scale_8cl.xhtml#ab0d36306b50e1c7961dfa9337d73ecbb">scale_nearest_neighbour_nchw</a>(</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(in),</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(out),</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_width,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_height,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_x,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_y)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="struct_image.xhtml">Image</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(in);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="struct_image.xhtml">Image</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(out);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> float2 r = (float2)(scale_x, scale_y);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">const</span> float8 tc = <a class="code" href="warp__helpers_8h.xhtml#aaef9851523cbc6f833700f0eb572002b">clamp_to_border_with_size</a>(<a class="code" href="scale_8cl.xhtml#a55c710b814464d9b8982c4eb6ca04dee">transform_nearest</a>(<a class="code" href="warp__helpers_8h.xhtml#a4caaeeb51ea58015267a9974675226d1">get_current_coords</a>(), r), input_width, input_height, BORDER_SIZE);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  vstore4(<a class="code" href="warp__helpers_8h.xhtml#aba42442a4c991cdbb52727fa370676f1">read_texels4</a>(&in, convert_int8(tc)), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"></span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment">/** Performs an affine transformation on an image interpolating with the BILINEAR method.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> *</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> * @note Sampling policy to used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> *</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> * @param[in] in_ptr Pointer to the source image. Supported data types: U8, S16.</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"> * @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> * @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: U8, S16. (Must be the same as the input)</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment"> * @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="comment"> * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="comment"> * @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment"> * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"> * @param[in] input_width Input image width</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> * @param[in] input_height Input image height</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment"> * @param[in] scale_x The scale factor along x dimension</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="comment"> * @param[in] scale_y The scale factor along y dimension</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment"> */</span></div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="scale_8cl.xhtml#a8721515bc3a5bd5c2c07c71680836989"> 131</a></span> __kernel <span class="keywordtype">void</span> <a class="code" href="scale_8cl.xhtml#a8721515bc3a5bd5c2c07c71680836989">scale_bilinear_nchw</a>(</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(in),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(out),</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_width,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_height,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_x,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_y)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="struct_image.xhtml">Image</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(in);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="struct_image.xhtml">Image</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(out);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> float2 r = (float2)(scale_x, scale_y);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> float8 tc = <a class="code" href="scale_8cl.xhtml#a1990e87858b15b8fce3f63965fb9b86c">transform_bilinear</a>(<a class="code" href="warp__helpers_8h.xhtml#a4caaeeb51ea58015267a9974675226d1">get_current_coords</a>(), r);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  vstore4(<a class="code" href="warp__helpers_8h.xhtml#a8eda58d341afa44da00ebf47f9349499">bilinear_interpolate_with_border</a>(&in, tc, input_width, input_height, BORDER_SIZE), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="preprocessor">#if defined(DEPTH_OUT)</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="comment">/** Performs scale on an image interpolating with the NEAREAST NEIGHBOUR method. Input and output are single channel F32. (NHWC)</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="comment"> *</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="comment"> * @note Sampling policy to used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="comment"> * @note Output tensor's depth should be given as a preprocessor argument using -DDEPTH_OUT=size. e.g. -DDEPTH=16</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="comment"> *</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment"> * @param[in] in_ptr Pointer to the source image. Supported data types: U8/S16/F16/F32.</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="comment"> * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="comment"> * @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="comment"> * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment"> * @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment"> * @param[in] in_stride_z Stride of the source image in Z dimension (in bytes)</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment"> * @param[in] in_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="comment"> * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in_ptr</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="comment"> * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="comment"> * @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment"> * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="comment"> * @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment"> * @param[in] out_stride_z Stride of the destination image in Z dimension (in bytes)</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment"> * @param[in] out_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"> * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> * @param[in] input_width Input image width</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> * @param[in] input_height Input image height</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> * @param[in] scale_x The scale factor along x dimension</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> * @param[in] scale_y The scale factor along y dimension</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"> */</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> __kernel <span class="keywordtype">void</span> scale_nearest_neighbour_nhwc(</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(in),</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(out),</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_width,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_height,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_x,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_y)</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(in, 0);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(out, DEPTH_OUT);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="preprocessor">#ifdef SAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_x = get_global_id(1) * scale_x;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_y = (get_global_id(2) % DEPTH_OUT) * scale_y;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="preprocessor">#elif SAMPLING_POLICY_CENTER</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_x = (get_global_id(1) + 0.5f) * scale_x;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_y = ((get_global_id(2) % DEPTH_OUT) + 0.5f) * scale_y;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="preprocessor">#else </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="preprocessor">#error("Unsupported sampling policy");</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="preprocessor">#endif </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> clamped_x = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(new_x, 0.0f, input_width - 1);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> clamped_y = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(new_y, 0.0f, input_height - 1);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT)));</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="comment"></span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="comment">/** Performs scale on an image interpolating with the BILINEAR method. (NHWC)</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="comment"> *</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="comment"> * @note Sampling policy to be used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment"> * @note If border mode replicate is used, is should be passed as -DBORDER_MODE_REPLICATE</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="comment"> * @note Output tensor's depth should be given as a preprocessor argument using -DDEPTH_OUT=size. e.g. -DDEPTH=16</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment"> *</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="comment"> * @param[in] in_ptr Pointer to the source image. Supported data types: U8/S16/F16/F32.</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="comment"> * @param[in] in_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment"> * @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment"> * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="comment"> * @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="comment"> * @param[in] in_stride_z Stride of the source image in Z dimension (in bytes)</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="comment"> * @param[in] in_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="comment"> * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in_ptr</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"> * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="comment"> * @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="comment"> * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment"> * @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="comment"> * @param[in] out_stride_z Stride of the destination image in Z dimension (in bytes)</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="comment"> * @param[in] out_step_z dst_stride_y * number of elements along Z processed per workitem(in bytes)</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="comment"> * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="comment"> * @param[in] input_width Input image width</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="comment"> * @param[in] input_height Input image height</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment"> * @param[in] scale_x The scale factor along x dimension</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="comment"> * @param[in] scale_y The scale factor along y dimension</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="comment"> */</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> __kernel <span class="keywordtype">void</span> scale_bilinear_nhwc(</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(in),</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a>(out),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_width,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> input_height,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_x,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale_y)</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> in = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a>(in, 0);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="struct_tensor4_d.xhtml">Tensor4D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a>(out, DEPTH_OUT);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="preprocessor">#ifdef SAMPLING_POLICY_TOP_LEFT</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_x = get_global_id(1) * scale_x;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_y = (get_global_id(2) % DEPTH_OUT) * scale_y;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="preprocessor">#elif SAMPLING_POLICY_CENTER</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_x = (get_global_id(1) + 0.5f) * scale_x - 0.5f;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_y = ((get_global_id(2) % DEPTH_OUT) + 0.5f) * scale_y - 0.5f;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="preprocessor">#else </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="preprocessor">#error("Unsupported sampling policy");</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="preprocessor">#endif </span><span class="comment">/* SAMPLING_POLICY */</span><span class="preprocessor"></span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_xf = floor(new_x);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> new_yf = floor(new_y);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordtype">float</span> clamped_x = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(new_xf, 0.0f, input_width - 1);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordtype">float</span> clamped_x1 = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(new_xf + 1, 0.0f, input_width - 1);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">float</span> clamped_x_ = clamped_x;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordtype">float</span> clamped_x1_ = clamped_x1;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> clamped_y = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(new_yf, 0.0f, input_height - 1);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> clamped_y1 = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">clamp</a>(new_yf + 1, 0.0f, input_height - 1);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="preprocessor">#ifndef BORDER_MODE_REPLICATE</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  clamped_x1 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(clamped_x1, 0.0f - BORDER_SIZE, new_yf + 1 < 0.f || new_yf + 1 > input_height - 1 || new_xf + 1 < 0.f || new_xf + 1 > input_width - 1);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  clamped_x_ = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(clamped_x_, 0.0f - BORDER_SIZE, new_yf + 1 > input_height - 1 || new_xf < 0.f || new_xf > input_width - 1);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  clamped_x = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(clamped_x, 0.0f - BORDER_SIZE, new_yf < 0.f || new_yf > input_height - 1 || new_xf < 0.f || new_xf > input_width - 1);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  clamped_x1_ = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">select</a>(clamped_x1_, 0.0f - BORDER_SIZE, new_xf + 1 < 0.f || new_xf + 1 > input_width - 1 || new_yf < 0.f || new_yf > input_height - 1);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="preprocessor">#endif </span><span class="comment">/* BORDER_MODE_REPLICATE */</span><span class="preprocessor"></span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  float4 ins = (float4)(*((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT))),</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&in, get_global_id(0), convert_int(clamped_x1_), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT))),</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&in, get_global_id(0), convert_int(clamped_x_), convert_int(clamped_y1), (get_global_id(2) / DEPTH_OUT))),</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a>(&in, get_global_id(0), convert_int(clamped_x1), convert_int(clamped_y1), (get_global_id(2) / DEPTH_OUT))));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a = new_x - new_xf;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = 1.f - a;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> a1 = new_y - new_yf;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> b1 = 1.f - a1;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> fr = ((ins.s0 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * b1) + (ins.s1 * a * b1) + (ins.s2 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> * a1) + (ins.s3 * a * a1));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out.<a class="code" href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>) = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(fr, <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DEPTH_OUT) */</span><span class="preprocessor"></span></div><div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00261">helpers.h:261</a></div></div> |
| <div class="ttc" id="struct_tensor4_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor4_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor4D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00370">helpers.h:370</a></div></div> |
| <div class="ttc" id="scale_8cl_xhtml_a8721515bc3a5bd5c2c07c71680836989"><div class="ttname"><a href="scale_8cl.xhtml#a8721515bc3a5bd5c2c07c71680836989">scale_bilinear_nchw</a></div><div class="ttdeci">__kernel void scale_bilinear_nchw(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_offset_first_element_in_bytes, const float input_width, const float input_height, const float scale_x, const float scale_y)</div><div class="ttdoc">Performs an affine transformation on an image interpolating with the BILINEAR method.</div><div class="ttdef"><b>Definition:</b> <a href="scale_8cl_source.xhtml#l00131">scale.cl:131</a></div></div> |
| <div class="ttc" id="scale_8cl_xhtml_ab0d36306b50e1c7961dfa9337d73ecbb"><div class="ttname"><a href="scale_8cl.xhtml#ab0d36306b50e1c7961dfa9337d73ecbb">scale_nearest_neighbour_nchw</a></div><div class="ttdeci">__kernel void scale_nearest_neighbour_nchw(__global uchar *in_ptr, uint in_stride_x, uint in_step_x, uint in_stride_y, uint in_step_y, uint in_offset_first_element_in_bytes, __global uchar *out_ptr, uint out_stride_x, uint out_step_x, uint out_stride_y, uint out_step_y, uint out_offset_first_element_in_bytes, const float input_width, const float input_height, const float scale_x, const float scale_y)</div><div class="ttdoc">Performs an affine transformation on an image interpolating with the NEAREAST NEIGHBOUR method.</div><div class="ttdef"><b>Definition:</b> <a href="scale_8cl_source.xhtml#l00095">scale.cl:95</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00311">helpers.h:311</a></div></div> |
| <div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="warp__helpers_8h_xhtml_a8eda58d341afa44da00ebf47f9349499"><div class="ttname"><a href="warp__helpers_8h.xhtml#a8eda58d341afa44da00ebf47f9349499">bilinear_interpolate_with_border</a></div><div class="ttdeci">const DATA_TYPE4 bilinear_interpolate_with_border(const Image *in, const float8 coords, const float width, const float height, const float border_size)</div><div class="ttdoc">Computes the bilinear interpolation for each set of coordinates in the vector coords and returns the ...</div><div class="ttdef"><b>Definition:</b> <a href="warp__helpers_8h_source.xhtml#l00095">warp_helpers.h:95</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00275">helpers.h:275</a></div></div> |
| <div class="ttc" id="struct_tensor4_d_xhtml"><div class="ttname"><a href="struct_tensor4_d.xhtml">Tensor4D</a></div><div class="ttdoc">Structure to hold 4D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00368">helpers.h:368</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a96efecf997f13a914609ddf1eb67f624"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">arm_compute::utility::clamp</a></div><div class="ttdeci">DataType clamp(const DataType &n, const DataType &lower=std::numeric_limits< RangeType >::lowest(), const DataType &upper=std::numeric_limits< RangeType >::max())</div><div class="ttdoc">Performs clamping among a lower and upper value.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00099">Utility.h:99</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a302e05cc5f90bd76a9d0812c4be8b5eb"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a302e05cc5f90bd76a9d0812c4be8b5eb">CONVERT_TO_TENSOR4D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00337">helpers.h:337</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a4334a4a76f8e9628c0fb9e1acf616e2a"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00314">helpers.h:314</a></div></div> |
| <div class="ttc" id="scale_8cl_xhtml_a1990e87858b15b8fce3f63965fb9b86c"><div class="ttname"><a href="scale_8cl.xhtml#a1990e87858b15b8fce3f63965fb9b86c">transform_bilinear</a></div><div class="ttdeci">const float8 transform_bilinear(const float2 coord, const float2 scale)</div><div class="ttdoc">Transforms four 2D coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="scale_8cl_source.xhtml#l00058">scale.cl:58</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_ad442fb5ec8be1fff97f543150de5d822"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#ad442fb5ec8be1fff97f543150de5d822">tensor4D_offset</a></div><div class="ttdeci">__global const uchar * tensor4D_offset(const Tensor4D *tensor, int x, int y, int z, int w)</div><div class="ttdoc">Get the pointer position of a Tensor4D.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00535">helpers.h:535</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a23b9032d1b9d59547545e457f82ee478"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a23b9032d1b9d59547545e457f82ee478">CONVERT_TO_TENSOR4D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR4D_STRUCT(name, mod_size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00333">helpers.h:333</a></div></div> |
| <div class="ttc" id="scale_8cl_xhtml_a55c710b814464d9b8982c4eb6ca04dee"><div class="ttname"><a href="scale_8cl.xhtml#a55c710b814464d9b8982c4eb6ca04dee">transform_nearest</a></div><div class="ttdeci">const float8 transform_nearest(const float2 coord, const float2 scale)</div><div class="ttdoc">Transforms four 2D coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="scale_8cl_source.xhtml#l00034">scale.cl:34</a></div></div> |
| <div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00349">helpers.h:349</a></div></div> |
| <div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00351">helpers.h:351</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af77145fbdc6b0c8931148f5597d9de53"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af77145fbdc6b0c8931148f5597d9de53">arm_compute::test::validation::select</a></div><div class="ttdeci">CLSelect select</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_select_8cpp_source.xhtml#l00164">Select.cpp:164</a></div></div> |
| <div class="ttc" id="warp__helpers_8h_xhtml"><div class="ttname"><a href="warp__helpers_8h.xhtml">warp_helpers.h</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml">helpers.h</a></div></div> |
| <div class="ttc" id="warp__helpers_8h_xhtml_aba42442a4c991cdbb52727fa370676f1"><div class="ttname"><a href="warp__helpers_8h.xhtml#aba42442a4c991cdbb52727fa370676f1">read_texels4</a></div><div class="ttdeci">const DATA_TYPE4 read_texels4(const Image *in, const int8 coords)</div><div class="ttdoc">Reads four texels from the input image.</div><div class="ttdef"><b>Definition:</b> <a href="warp__helpers_8h_source.xhtml#l00059">warp_helpers.h:59</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a481bdc6d61b3df9dcdbdb244f0f97790"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a481bdc6d61b3df9dcdbdb244f0f97790">TENSOR4D_DECLARATION</a></div><div class="ttdeci">#define TENSOR4D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00293">helpers.h:293</a></div></div> |
| <div class="ttc" id="warp__helpers_8h_xhtml_aaef9851523cbc6f833700f0eb572002b"><div class="ttname"><a href="warp__helpers_8h.xhtml#aaef9851523cbc6f833700f0eb572002b">clamp_to_border_with_size</a></div><div class="ttdeci">const float8 clamp_to_border_with_size(float8 coords, const float width, const float height, const float border_size)</div><div class="ttdoc">Clamps the given coordinates to the borders according to the border size.</div><div class="ttdef"><b>Definition:</b> <a href="warp__helpers_8h_source.xhtml#l00034">warp_helpers.h:34</a></div></div> |
| <div class="ttc" id="warp__helpers_8h_xhtml_a4caaeeb51ea58015267a9974675226d1"><div class="ttname"><a href="warp__helpers_8h.xhtml#a4caaeeb51ea58015267a9974675226d1">get_current_coords</a></div><div class="ttdeci">const float2 get_current_coords()</div><div class="ttdoc">Returns the current thread coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="warp__helpers_8h_source.xhtml#l00068">warp_helpers.h:68</a></div></div> |
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