#ifndef IRRT_DONT_TYPEDEF_INTS typedef _BitInt(8) int8_t; typedef unsigned _BitInt(8) uint8_t; typedef _BitInt(32) int32_t; typedef unsigned _BitInt(32) uint32_t; typedef _BitInt(64) int64_t; typedef unsigned _BitInt(64) uint64_t; #endif // NDArray indices are always `uint32_t`. typedef uint32_t NDIndex; // The type of an index or a value describing the length of a range/slice is // always `int32_t`. typedef int32_t SliceIndex; template static T max(T a, T b) { return a > b ? a : b; } template static T min(T a, T b) { return a > b ? b : a; } // adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c // need to make sure `exp >= 0` before calling this function template static T __nac3_int_exp_impl(T base, T exp) { T res = 1; /* repeated squaring method */ do { if (exp & 1) { res *= base; /* for n odd */ } exp >>= 1; base *= base; } while (exp); return res; } template static SizeT __nac3_ndarray_calc_size_impl( const SizeT *list_data, SizeT list_len, SizeT begin_idx, SizeT end_idx ) { __builtin_assume(end_idx <= list_len); SizeT num_elems = 1; for (SizeT i = begin_idx; i < end_idx; ++i) { SizeT val = list_data[i]; __builtin_assume(val > 0); num_elems *= val; } return num_elems; } template static void __nac3_ndarray_calc_nd_indices_impl( SizeT index, const SizeT *dims, SizeT num_dims, NDIndex *idxs ) { SizeT stride = 1; for (SizeT dim = 0; dim < num_dims; dim++) { SizeT i = num_dims - dim - 1; __builtin_assume(dims[i] > 0); idxs[i] = (index / stride) % dims[i]; stride *= dims[i]; } } template static SizeT __nac3_ndarray_flatten_index_impl( const SizeT *dims, SizeT num_dims, const NDIndex *indices, SizeT num_indices ) { SizeT idx = 0; SizeT stride = 1; for (SizeT i = 0; i < num_dims; ++i) { SizeT ri = num_dims - i - 1; if (ri < num_indices) { idx += stride * indices[ri]; } __builtin_assume(dims[i] > 0); stride *= dims[ri]; } return idx; } template static void __nac3_ndarray_calc_broadcast_impl( const SizeT *lhs_dims, SizeT lhs_ndims, const SizeT *rhs_dims, SizeT rhs_ndims, SizeT *out_dims ) { SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims; for (SizeT i = 0; i < max_ndims; ++i) { const SizeT *lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr; const SizeT *rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr; SizeT *out_dim = &out_dims[max_ndims - i - 1]; if (lhs_dim_sz == nullptr) { *out_dim = *rhs_dim_sz; } else if (rhs_dim_sz == nullptr) { *out_dim = *lhs_dim_sz; } else if (*lhs_dim_sz == 1) { *out_dim = *rhs_dim_sz; } else if (*rhs_dim_sz == 1) { *out_dim = *lhs_dim_sz; } else if (*lhs_dim_sz == *rhs_dim_sz) { *out_dim = *lhs_dim_sz; } else { __builtin_unreachable(); } } } template static void __nac3_ndarray_calc_broadcast_idx_impl( const SizeT *src_dims, SizeT src_ndims, const NDIndex *in_idx, NDIndex *out_idx ) { for (SizeT i = 0; i < src_ndims; ++i) { SizeT src_i = src_ndims - i - 1; out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i]; } } template static void __nac3_ndarray_strides_from_shape_impl( SizeT ndims, SizeT *shape, SizeT *dst_strides ) { SizeT stride_product = 1; for (SizeT i = 0; i < ndims; i++) { int dim_i = ndims - i - 1; dst_strides[dim_i] = stride_product; stride_product *= shape[dim_i]; } } extern "C" { #define DEF_nac3_int_exp_(T) \ T __nac3_int_exp_##T(T base, T exp) {\ return __nac3_int_exp_impl(base, exp);\ } DEF_nac3_int_exp_(int32_t) DEF_nac3_int_exp_(int64_t) DEF_nac3_int_exp_(uint32_t) DEF_nac3_int_exp_(uint64_t) SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) { if (i < 0) { i = len + i; } if (i < 0) { return 0; } else if (i > len) { return len; } return i; } SliceIndex __nac3_range_slice_len( const SliceIndex start, const SliceIndex end, const SliceIndex step ) { SliceIndex diff = end - start; if (diff > 0 && step > 0) { return ((diff - 1) / step) + 1; } else if (diff < 0 && step < 0) { return ((diff + 1) / step) + 1; } else { return 0; } } // Handle list assignment and dropping part of the list when // both dest_step and src_step are +1. // - All the index must *not* be out-of-bound or negative, // - The end index is *inclusive*, // - The length of src and dest slice size should already // be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest) SliceIndex __nac3_list_slice_assign_var_size( SliceIndex dest_start, SliceIndex dest_end, SliceIndex dest_step, uint8_t *dest_arr, SliceIndex dest_arr_len, SliceIndex src_start, SliceIndex src_end, SliceIndex src_step, uint8_t *src_arr, SliceIndex src_arr_len, const SliceIndex size ) { /* if dest_arr_len == 0, do nothing since we do not support extending list */ if (dest_arr_len == 0) return dest_arr_len; /* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */ if (src_step == dest_step && dest_step == 1) { const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0; const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0; if (src_len > 0) { __builtin_memmove( dest_arr + dest_start * size, src_arr + src_start * size, src_len * size ); } if (dest_len > 0) { /* dropping */ __builtin_memmove( dest_arr + (dest_start + src_len) * size, dest_arr + (dest_end + 1) * size, (dest_arr_len - dest_end - 1) * size ); } /* shrink size */ return dest_arr_len - (dest_len - src_len); } /* if two range overlaps, need alloca */ uint8_t need_alloca = (dest_arr == src_arr) && !( max(dest_start, dest_end) < min(src_start, src_end) || max(src_start, src_end) < min(dest_start, dest_end) ); if (need_alloca) { uint8_t *tmp = reinterpret_cast(__builtin_alloca(src_arr_len * size)); __builtin_memcpy(tmp, src_arr, src_arr_len * size); src_arr = tmp; } SliceIndex src_ind = src_start; SliceIndex dest_ind = dest_start; for (; (src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end); src_ind += src_step, dest_ind += dest_step ) { /* for constant optimization */ if (size == 1) { __builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1); } else if (size == 4) { __builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4); } else if (size == 8) { __builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8); } else { /* memcpy for var size, cannot overlap after previous alloca */ __builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size); } } /* only dest_step == 1 can we shrink the dest list. */ /* size should be ensured prior to calling this function */ if (dest_step == 1 && dest_end >= dest_start) { __builtin_memmove( dest_arr + dest_ind * size, dest_arr + (dest_end + 1) * size, (dest_arr_len - dest_end - 1) * size ); return dest_arr_len - (dest_end - dest_ind) - 1; } return dest_arr_len; } int32_t __nac3_isinf(double x) { return __builtin_isinf(x); } int32_t __nac3_isnan(double x) { return __builtin_isnan(x); } double tgamma(double arg); double __nac3_gamma(double z) { // Handling for denormals // | x | Python gamma(x) | C tgamma(x) | // --- | ----------------- | --------------- | ----------- | // (1) | nan | nan | nan | // (2) | -inf | -inf | inf | // (3) | inf | inf | inf | // (4) | 0.0 | inf | inf | // (5) | {-1.0, -2.0, ...} | inf | nan | // (1)-(3) if (__builtin_isinf(z) || __builtin_isnan(z)) { return z; } double v = tgamma(z); // (4)-(5) return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v; } double lgamma(double arg); double __nac3_gammaln(double x) { // libm's handling of value overflows differs from scipy: // - scipy: gammaln(-inf) -> -inf // - libm : lgamma(-inf) -> inf if (__builtin_isinf(x)) { return x; } return lgamma(x); } double j0(double x); double __nac3_j0(double x) { // libm's handling of value overflows differs from scipy: // - scipy: j0(inf) -> nan // - libm : j0(inf) -> 0.0 if (__builtin_isinf(x)) { return __builtin_nan(""); } return j0(x); } uint32_t __nac3_ndarray_calc_size( const uint32_t *list_data, uint32_t list_len, uint32_t begin_idx, uint32_t end_idx ) { return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx); } uint64_t __nac3_ndarray_calc_size64( const uint64_t *list_data, uint64_t list_len, uint64_t begin_idx, uint64_t end_idx ) { return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx); } void __nac3_ndarray_calc_nd_indices( uint32_t index, const uint32_t* dims, uint32_t num_dims, NDIndex* idxs ) { __nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs); } void __nac3_ndarray_calc_nd_indices64( uint64_t index, const uint64_t* dims, uint64_t num_dims, NDIndex* idxs ) { __nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs); } uint32_t __nac3_ndarray_flatten_index( const uint32_t* dims, uint32_t num_dims, const NDIndex* indices, uint32_t num_indices ) { return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices); } uint64_t __nac3_ndarray_flatten_index64( const uint64_t* dims, uint64_t num_dims, const NDIndex* indices, uint64_t num_indices ) { return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices); } void __nac3_ndarray_calc_broadcast( const uint32_t *lhs_dims, uint32_t lhs_ndims, const uint32_t *rhs_dims, uint32_t rhs_ndims, uint32_t *out_dims ) { return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims); } void __nac3_ndarray_calc_broadcast64( const uint64_t *lhs_dims, uint64_t lhs_ndims, const uint64_t *rhs_dims, uint64_t rhs_ndims, uint64_t *out_dims ) { return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims); } void __nac3_ndarray_calc_broadcast_idx( const uint32_t *src_dims, uint32_t src_ndims, const NDIndex *in_idx, NDIndex *out_idx ) { __nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx); } void __nac3_ndarray_calc_broadcast_idx64( const uint64_t *src_dims, uint64_t src_ndims, const NDIndex *in_idx, NDIndex *out_idx ) { __nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx); } void __nac3_ndarray_strides_from_shape(uint32_t ndims, uint32_t* shape, uint32_t* dst_strides) { __nac3_ndarray_strides_from_shape_impl(ndims, shape, dst_strides); } void __nac3_ndarray_strides_from_shape64(uint64_t ndims, uint64_t* shape, uint64_t* dst_strides) { __nac3_ndarray_strides_from_shape_impl(ndims, shape, dst_strides); } }