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| <a href="pixelwise__mul__int_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) 2016-2020 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> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#if defined(SATURATE)</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#define CONVERT_OP_INT_STR(x, type, size) (convert_##type##size##_sat(x))</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#else // SATURATE</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="pixelwise__mul__int_8cl.xhtml#ab958e43cb87518ce5dd73c7233bbf003"> 29</a></span> <span class="preprocessor">#define CONVERT_OP_INT_STR(x, type, size) (convert_##type##size(x))</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#endif // SATURATE</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="pixelwise__mul__int_8cl.xhtml#a0a99388febbdc0cb5b9e664faf79233c"> 31</a></span> <span class="preprocessor">#define CONVERT_OP_INT(x, type, size) CONVERT_OP_INT_STR(x, type, size)</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="pixelwise__mul__int_8cl.xhtml#a34c938068213444e52940e73d6d585cc"> 33</a></span> <span class="preprocessor">#define MUL_OP(x, y, scale, type, size) CONVERT_OP_INT((x) * (y) >> scale, type, size)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="pixelwise__mul__int_8cl.xhtml#ab448fef4390583fc4b3832f8c590a2b0"> 35</a></span> <span class="preprocessor">#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))</span></div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="pixelwise__mul__int_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d"> 36</a></span> <span class="preprocessor">#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#if defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_RES) && defined(DATA_TYPE_OUT)</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment">/** Performs a pixelwise multiplication with integer scale of integer inputs.</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> *</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> * @attention The inputs and output data types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=ushort -DDATA_TYPE_OUT=short</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> * @attention The data_type of the intermediate result of the multiplication should passed as well using -DDATA_TYPE_RES.</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> * e.g. If one of inputs is S16 -DDATA_TYPE_RES=int should be passed else -DDATA_TYPE_RES=short.</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> *</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * @param[in] in1_ptr Pointer to the source image. Supported data types: U8/S16</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * @param[in] in1_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * @param[in] in1_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> * @param[in] in1_stride_z Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * @param[in] in1_step_z in1_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param[in] in2_ptr Pointer to the source image. Supported data types: same as @p in1_ptr</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * @param[in] in2_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * @param[in] in2_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * @param[in] in2_stride_z Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * @param[in] in2_step_z in2_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in1_ptr</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</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="l00064"></a><span class="lineno"> 64</span> <span class="comment"> * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</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="l00066"></a><span class="lineno"> 66</span> <span class="comment"> * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> * @param[in] out_stride_z Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> * @param[in] out_step_z out_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</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="l00070"></a><span class="lineno"> 70</span> <span class="comment"> * @param[in] scale Integer scaling factor. Supported data types: S32.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> */</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> __kernel <span class="keywordtype">void</span> pixelwise_mul_int(</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in1),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in2),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(out),</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> uint <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(in1);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(in2);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(out);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_RES, 16)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  in1_data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(vload16(0, (__global DATA_TYPE_IN1 *)in1.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_RES, 16));</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_RES, 16)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  in2_data = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(vload16(0, (__global DATA_TYPE_IN2 *)in2.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE_RES, 16));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Perform multiplication and store result</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  vstore16(<a class="code" href="pixelwise__mul__int_8cl.xhtml#a34c938068213444e52940e73d6d585cc">MUL_OP</a>(in1_data, in2_data, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>, <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a>, 16), 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_RES) && defined(DATA_TYPE_OUT) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor">#if defined(SCALE_IN1) && defined(SCALE_IN2) && defined(SCALE_OUT) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE)</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="preprocessor">#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE)</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="preprocessor">#define VEC_INT VEC_DATA_TYPE(int, VEC_SIZE)</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="preprocessor">#define VEC_TYPE VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"></span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment">/** Performs a pixelwise multiplication with float scale of quantized inputs.</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> *</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> * @note The quantization offset of the first operand must be passed at compile time only if asymmetric using -DOFFSET_IN1, e.g. -DOFFSET_IN1=10</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> * @note The quantization offset of the second operand must be passed at compile time only if asymmetric using -DOFFSET_IN2, e.g. -DOFFSET_IN2=10</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> * @note The quantization offset of the output must be passed at compile time only if asymmetric using -DOFFSET_OUT, e.g. -DOFFSET_OUT=10</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * @note The quantization scale of the first operand must be passed at compile time using -DSCALE_IN1, e.g. -DSCALE_IN1=10</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> * @note The quantization scale of the second operand must be passed at compile time using -DSCALE_IN2, e.g. -DSCALE_IN2=10</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> * @note The quantization scale of the output must be passed at compile time using -DSCALE_OUT, e.g. -DSCALE_OUT=10</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> * @note To perform saturating operation -DSATURATE has to be passed to the compiler otherwise wrapping policy will be used.</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> * @attention The data type must be passed at compile time using -DDATA_TYPE_OUT, i.e. -DDATA_TYPE_OUT=uchar</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16</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"> * @param[in] in1_ptr Pointer to the source image. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM16</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> * @param[in] in1_stride_x Stride of the source image in X dimension (in bytes)</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> * @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> * @param[in] in1_stride_y Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"> * @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> * @param[in] in1_stride_z 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] in1_step_z in1_stride_z * 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] in1_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[in] in2_ptr Pointer to the source image. Supported data types: same as @p in1_ptr</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> * @param[in] in2_stride_x Stride of the source 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] in2_step_x in2_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] in2_stride_y Stride of the source 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] in2_step_y in2_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] in2_stride_z Stride of the source image in Y dimension (in bytes)</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"> * @param[in] in2_step_z in2_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source image</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment"> * @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in1_ptr</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</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="l00130"></a><span class="lineno"> 130</span> <span class="comment"> * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</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="l00132"></a><span class="lineno"> 132</span> <span class="comment"> * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> * @param[in] out_stride_z Stride of the destination image in Y dimension (in bytes)</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> * @param[in] out_step_z out_stride_z * number of elements along Y processed per workitem(in bytes)</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</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="l00136"></a><span class="lineno"> 136</span> <span class="comment"> * @param[in] scale Float scaling factor. Supported data types: F32</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> */</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> __kernel <span class="keywordtype">void</span> pixelwise_mul_quantized(</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in1),</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(in2),</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(out),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in1 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(in1);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> in2 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(in2);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> out = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(out);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a> in_a = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)in1.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a>);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a> in_b = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(<a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)in2.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>), <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a>);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Dequantize</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="preprocessor">#if defined(OFFSET_IN1)</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  in_a -= (<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a>)((<span class="keywordtype">int</span>)OFFSET_IN1);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="preprocessor">#endif // defined(OFFSET_IN1)</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor">#if defined(OFFSET_IN2)</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  in_b -= (<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a>)((<span class="keywordtype">int</span>)OFFSET_IN2);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="preprocessor">#endif // defined(OFFSET_IN2)</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> in1f32 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(in_a, <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>) * (<a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>)((<span class="keywordtype">float</span>)SCALE_IN1);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">const</span> <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> in2f32 = <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(in_b, <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>) * (<a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>)((<span class="keywordtype">float</span>)SCALE_IN2);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="preprocessor">#if defined(OFFSET_OUT)</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> qresf32 = (in1f32 * in2f32 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>) / ((<a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>)(float)SCALE_OUT) + ((<a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>)((<span class="keywordtype">float</span>)OFFSET_OUT));</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor">#else // defined(OFFSET_OUT)</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> <a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a> qresf32 = (in1f32 * in2f32 * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>) / ((<a class="code" href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a>)(float)SCALE_OUT);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor">#endif // defined(OFFSET_OUT)</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">const</span> VEC_TYPE res = <a class="code" href="direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a>(<a class="code" href="pixelwise__mul__int_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a>(qresf32, <a class="code" href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a>), VEC_TYPE);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// Store result</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a>(<a class="code" href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a>)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  (res, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a> *)out.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(SCALE_IN1) && defined(SCALE_IN2) && defined(SCALE_OUT) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE) */</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="depthwise__convolution__quantized_8cl_xhtml_a3fffea119c04c7680f2e9cf3fadf63b4"><div class="ttname"><a href="depthwise__convolution__quantized_8cl.xhtml#a3fffea119c04c7680f2e9cf3fadf63b4">VEC_SIZE</a></div><div class="ttdeci">#define VEC_SIZE</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution__quantized_8cl_source.xhtml#l00031">depthwise_convolution_quantized.cl:31</a></div></div> |
| <div class="ttc" id="direct__convolution1x1_8cl_xhtml_a1f15728672380ade7a238f5e783d54d2"><div class="ttname"><a href="direct__convolution1x1_8cl.xhtml#a1f15728672380ade7a238f5e783d54d2">CONVERT_SAT</a></div><div class="ttdeci">#define CONVERT_SAT(a, b)</div><div class="ttdef"><b>Definition:</b> <a href="direct__convolution1x1_8cl_source.xhtml#l00030">direct_convolution1x1.cl:30</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00358">helpers.h:358</a></div></div> |
| <div class="ttc" id="depthwise__convolution__quantized_8cl_xhtml_aee190caf3b3571e939ac129e12c368cd"><div class="ttname"><a href="depthwise__convolution__quantized_8cl.xhtml#aee190caf3b3571e939ac129e12c368cd">VEC_INT</a></div><div class="ttdeci">#define VEC_INT</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution__quantized_8cl_source.xhtml#l00042">depthwise_convolution_quantized.cl:42</a></div></div> |
| <div class="ttc" id="pixelwise__mul__int_8cl_xhtml_a5b0d9908c0af31eaa7a31d0b5cf8e56d"><div class="ttname"><a href="pixelwise__mul__int_8cl.xhtml#a5b0d9908c0af31eaa7a31d0b5cf8e56d">CONVERT_DOWN</a></div><div class="ttdeci">#define CONVERT_DOWN(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="pixelwise__mul__int_8cl_source.xhtml#l00036">pixelwise_mul_int.cl:36</a></div></div> |
| <div class="ttc" id="activation__layer__quant_8cl_xhtml_ade2e33e6f303ce93468eef7e56d95c0c"><div class="ttname"><a href="activation__layer__quant_8cl.xhtml#ade2e33e6f303ce93468eef7e56d95c0c">VEC_FLOAT</a></div><div class="ttdeci">#define VEC_FLOAT</div><div class="ttdef"><b>Definition:</b> <a href="activation__layer__quant_8cl_source.xhtml#l00026">activation_layer_quant.cl:26</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00326">helpers.h:326</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#l00375">PixelWiseMultiplication.cpp:375</a></div></div> |
| <div class="ttc" id="pixelwise__mul__int_8cl_xhtml_a34c938068213444e52940e73d6d585cc"><div class="ttname"><a href="pixelwise__mul__int_8cl.xhtml#a34c938068213444e52940e73d6d585cc">MUL_OP</a></div><div class="ttdeci">#define MUL_OP(x, y, scale, type, size)</div><div class="ttdef"><b>Definition:</b> <a href="pixelwise__mul__int_8cl_source.xhtml#l00033">pixelwise_mul_int.cl:33</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="convolution3x3_8cl_xhtml_ac06f3e24d3fffd3c465d8b2a6e7c985e"><div class="ttname"><a href="convolution3x3_8cl.xhtml#ac06f3e24d3fffd3c465d8b2a6e7c985e">DATA_TYPE_OUT</a></div><div class="ttdeci">#define DATA_TYPE_OUT</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00031">convolution3x3.cl:31</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_acb282042d1edeeaa3cc979a206f78b54"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#acb282042d1edeeaa3cc979a206f78b54">VSTORE</a></div><div class="ttdeci">#define VSTORE(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00198">helpers.h:198</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::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#l00360">helpers.h:360</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a287e2fc366c312b468382c95bb90f91f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a287e2fc366c312b468382c95bb90f91f">VLOAD</a></div><div class="ttdeci">#define VLOAD(size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00195">helpers.h:195</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00283">helpers.h:283</a></div></div> |
| <div class="ttc" id="src_2core_2_c_l_2cl__kernels_2_helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_helpers_8h_source.xhtml#l00255">helpers.h:255</a></div></div> |
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