| 63 | } |
| 64 | |
| 65 | af_err af_mean(af_array *out, const af_array in, const dim_t dim) { |
| 66 | try { |
| 67 | ARG_ASSERT(2, (dim >= 0 && dim <= 3)); |
| 68 | |
| 69 | af_array output = 0; |
| 70 | const ArrayInfo &info = getInfo(in); |
| 71 | af_dtype type = info.getType(); |
| 72 | switch (type) { |
| 73 | case f64: output = mean<double, double>(in, dim); break; |
| 74 | case f32: output = mean<float, float>(in, dim); break; |
| 75 | case s32: output = mean<int, float>(in, dim); break; |
| 76 | case u32: output = mean<unsigned, float>(in, dim); break; |
| 77 | case s64: output = mean<intl, double>(in, dim); break; |
| 78 | case u64: output = mean<uintl, double>(in, dim); break; |
| 79 | case s16: output = mean<short, float>(in, dim); break; |
| 80 | case u16: output = mean<ushort, float>(in, dim); break; |
| 81 | case s8: output = mean<schar, float>(in, dim); break; |
| 82 | case u8: output = mean<uchar, float>(in, dim); break; |
| 83 | case b8: output = mean<char, float>(in, dim); break; |
| 84 | case c32: output = mean<cfloat, cfloat>(in, dim); break; |
| 85 | case c64: output = mean<cdouble, cdouble>(in, dim); break; |
| 86 | case f16: output = mean<half, half>(in, dim); break; |
| 87 | default: TYPE_ERROR(1, type); |
| 88 | } |
| 89 | std::swap(*out, output); |
| 90 | } |
| 91 | CATCHALL; |
| 92 | return AF_SUCCESS; |
| 93 | } |
| 94 | |
| 95 | af_err af_mean_weighted(af_array *out, const af_array in, |
| 96 | const af_array weights, const dim_t dim) { |