forked from M-Labs/nac3
core/ndstrides: implement ndarray iterator NDIter
A necessary utility to iterate through all elements in a possibly strided ndarray.
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@ -6,3 +6,4 @@
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#include "irrt/slice.hpp"
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#include "irrt/slice.hpp"
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#include "irrt/ndarray/basic.hpp"
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#include "irrt/ndarray/basic.hpp"
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#include "irrt/ndarray/def.hpp"
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#include "irrt/ndarray/def.hpp"
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#include "irrt/ndarray/iter.hpp"
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146
nac3core/irrt/irrt/ndarray/iter.hpp
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146
nac3core/irrt/irrt/ndarray/iter.hpp
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@ -0,0 +1,146 @@
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#pragma once
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#include "irrt/int_types.hpp"
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#include "irrt/ndarray/def.hpp"
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namespace {
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/**
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* @brief Helper struct to enumerate through an ndarray *efficiently*.
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*
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* Example usage (in pseudo-code):
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* ```
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* // Suppose my_ndarray has been initialized, with shape [2, 3] and dtype `double`
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* NDIter nditer;
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* nditer.initialize(my_ndarray);
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* while (nditer.has_element()) {
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* // This body is run 6 (= my_ndarray.size) times.
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*
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* // [0, 0] -> [0, 1] -> [0, 2] -> [1, 0] -> [1, 1] -> [1, 2] -> end
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* print(nditer.indices);
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*
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* // 0 -> 1 -> 2 -> 3 -> 4 -> 5
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* print(nditer.nth);
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*
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* // <1st element> -> <2nd element> -> ... -> <6th element> -> end
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* print(*((double *) nditer.element))
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*
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* nditer.next(); // Go to next element.
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* }
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* ```
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*
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* Interesting cases:
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* - If `my_ndarray.ndims` == 0, there is one iteration.
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* - If `my_ndarray.shape` contains zeroes, there are no iterations.
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*/
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template<typename SizeT>
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struct NDIter {
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// Information about the ndarray being iterated over.
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SizeT ndims;
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SizeT* shape;
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SizeT* strides;
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/**
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* @brief The current indices.
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*
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* Must be allocated by the caller.
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*/
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SizeT* indices;
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/**
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* @brief The nth (0-based) index of the current indices.
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*
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* Initially this is 0.
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*/
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SizeT nth;
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/**
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* @brief Pointer to the current element.
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*
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* Initially this points to first element of the ndarray.
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*/
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uint8_t* element;
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/**
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* @brief Cache for the product of shape.
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*
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* Could be 0 if `shape` has 0s in it.
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*/
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SizeT size;
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void initialize(SizeT ndims, SizeT* shape, SizeT* strides, uint8_t* element, SizeT* indices) {
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this->ndims = ndims;
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this->shape = shape;
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this->strides = strides;
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this->indices = indices;
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this->element = element;
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// Compute size
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this->size = 1;
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for (SizeT i = 0; i < ndims; i++) {
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this->size *= shape[i];
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}
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// `indices` starts on all 0s.
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for (SizeT axis = 0; axis < ndims; axis++)
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indices[axis] = 0;
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nth = 0;
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}
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void initialize_by_ndarray(NDArray<SizeT>* ndarray, SizeT* indices) {
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// NOTE: ndarray->data is pointing to the first element, and `NDIter`'s `element` should also point to the first
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// element as well.
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this->initialize(ndarray->ndims, ndarray->shape, ndarray->strides, ndarray->data, indices);
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}
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// Is the current iteration valid?
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// If true, then `element`, `indices` and `nth` contain details about the current element.
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bool has_element() { return nth < size; }
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// Go to the next element.
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void next() {
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for (SizeT i = 0; i < ndims; i++) {
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SizeT axis = ndims - i - 1;
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indices[axis]++;
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if (indices[axis] >= shape[axis]) {
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indices[axis] = 0;
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// TODO: There is something called backstrides to speedup iteration.
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// See https://ajcr.net/stride-guide-part-1/, and
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// https://docs.scipy.org/doc/numpy-1.13.0/reference/c-api.types-and-structures.html#c.PyArrayIterObject.PyArrayIterObject.backstrides.
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element -= strides[axis] * (shape[axis] - 1);
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} else {
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element += strides[axis];
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break;
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}
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}
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nth++;
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}
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};
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} // namespace
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extern "C" {
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void __nac3_nditer_initialize(NDIter<int32_t>* iter, NDArray<int32_t>* ndarray, int32_t* indices) {
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iter->initialize_by_ndarray(ndarray, indices);
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}
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void __nac3_nditer_initialize64(NDIter<int64_t>* iter, NDArray<int64_t>* ndarray, int64_t* indices) {
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iter->initialize_by_ndarray(ndarray, indices);
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}
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bool __nac3_nditer_has_element(NDIter<int32_t>* iter) {
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return iter->has_element();
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}
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bool __nac3_nditer_has_element64(NDIter<int64_t>* iter) {
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return iter->has_element();
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}
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void __nac3_nditer_next(NDIter<int32_t>* iter) {
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iter->next();
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}
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void __nac3_nditer_next64(NDIter<int64_t>* iter) {
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iter->next();
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}
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}
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@ -19,7 +19,7 @@ use super::{
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llvm_intrinsics,
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llvm_intrinsics,
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macros::codegen_unreachable,
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macros::codegen_unreachable,
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model::{function::FnCall, *},
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model::{function::FnCall, *},
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object::ndarray::NDArray,
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object::ndarray::{nditer::NDIter, NDArray},
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stmt::gen_for_callback_incrementing,
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stmt::gen_for_callback_incrementing,
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CodeGenContext, CodeGenerator,
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CodeGenContext, CodeGenerator,
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};
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};
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@ -1083,3 +1083,32 @@ pub fn call_nac3_ndarray_copy_data<'ctx, G: CodeGenerator + ?Sized>(
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let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_copy_data");
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let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_copy_data");
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FnCall::builder(generator, ctx, &name).arg(src_ndarray).arg(dst_ndarray).returning_void();
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FnCall::builder(generator, ctx, &name).arg(src_ndarray).arg(dst_ndarray).returning_void();
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}
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}
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pub fn call_nac3_nditer_initialize<'ctx, G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
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ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
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indices: Instance<'ctx, Ptr<Int<SizeT>>>,
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) {
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let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_initialize");
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FnCall::builder(generator, ctx, &name).arg(iter).arg(ndarray).arg(indices).returning_void();
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}
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pub fn call_nac3_nditer_has_element<'ctx, G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
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) -> Instance<'ctx, Int<Bool>> {
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let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_has_element");
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FnCall::builder(generator, ctx, &name).arg(iter).returning_auto("has_element")
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}
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pub fn call_nac3_nditer_next<'ctx, G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
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) {
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let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_next");
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FnCall::builder(generator, ctx, &name).arg(iter).returning_void();
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}
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@ -16,6 +16,8 @@ use crate::{
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typecheck::typedef::Type,
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typecheck::typedef::Type,
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};
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};
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pub mod nditer;
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/// Fields of [`NDArray`]
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/// Fields of [`NDArray`]
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pub struct NDArrayFields<'ctx, F: FieldTraversal<'ctx>> {
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pub struct NDArrayFields<'ctx, F: FieldTraversal<'ctx>> {
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pub data: F::Output<Ptr<Int<Byte>>>,
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pub data: F::Output<Ptr<Int<Byte>>>,
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178
nac3core/src/codegen/object/ndarray/nditer.rs
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178
nac3core/src/codegen/object/ndarray/nditer.rs
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use inkwell::{types::BasicType, values::PointerValue, AddressSpace};
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use super::NDArrayObject;
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use crate::codegen::{
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irrt::{call_nac3_nditer_has_element, call_nac3_nditer_initialize, call_nac3_nditer_next},
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model::*,
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object::any::AnyObject,
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stmt::{gen_for_callback, BreakContinueHooks},
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CodeGenContext, CodeGenerator,
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};
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/// Fields of [`NDIter`]
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pub struct NDIterFields<'ctx, F: FieldTraversal<'ctx>> {
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pub ndims: F::Output<Int<SizeT>>,
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pub shape: F::Output<Ptr<Int<SizeT>>>,
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pub strides: F::Output<Ptr<Int<SizeT>>>,
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pub indices: F::Output<Ptr<Int<SizeT>>>,
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pub nth: F::Output<Int<SizeT>>,
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pub element: F::Output<Ptr<Int<Byte>>>,
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pub size: F::Output<Int<SizeT>>,
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}
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/// An IRRT helper structure used to iterate through an ndarray.
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#[derive(Debug, Clone, Copy, Default)]
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pub struct NDIter;
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impl<'ctx> StructKind<'ctx> for NDIter {
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type Fields<F: FieldTraversal<'ctx>> = NDIterFields<'ctx, F>;
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fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
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Self::Fields {
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ndims: traversal.add_auto("ndims"),
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shape: traversal.add_auto("shape"),
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strides: traversal.add_auto("strides"),
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indices: traversal.add_auto("indices"),
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nth: traversal.add_auto("nth"),
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element: traversal.add_auto("element"),
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size: traversal.add_auto("size"),
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}
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}
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}
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/// A helper structure with a convenient interface to interact with [`NDIter`].
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#[derive(Debug, Clone)]
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pub struct NDIterHandle<'ctx> {
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instance: Instance<'ctx, Ptr<Struct<NDIter>>>,
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/// The ndarray this [`NDIter`] to iterating over.
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ndarray: NDArrayObject<'ctx>,
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/// The current indices of [`NDIter`].
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indices: Instance<'ctx, Ptr<Int<SizeT>>>,
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}
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impl<'ctx> NDIterHandle<'ctx> {
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/// Allocate an [`NDIter`] that iterates through an ndarray.
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pub fn new<G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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ndarray: NDArrayObject<'ctx>,
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) -> Self {
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let nditer = Struct(NDIter).alloca(generator, ctx);
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let ndims = ndarray.ndims_llvm(generator, ctx.ctx);
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// The caller has the responsibility to allocate 'indices' for `NDIter`.
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let indices = Int(SizeT).array_alloca(generator, ctx, ndims.value);
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call_nac3_nditer_initialize(generator, ctx, nditer, ndarray.instance, indices);
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NDIterHandle { ndarray, instance: nditer, indices }
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}
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/// Is the current iteration valid?
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///
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/// If true, then `element`, `indices` and `nth` contain details about the current element.
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///
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/// If `ndarray` is unsized, this returns true only for the first iteration.
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/// If `ndarray` is 0-sized, this always returns false.
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#[must_use]
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pub fn has_element<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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) -> Instance<'ctx, Int<Bool>> {
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call_nac3_nditer_has_element(generator, ctx, self.instance)
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}
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/// Go to the next element. If `has_element()` is false, then this has undefined behavior.
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///
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/// If `ndarray` is unsized, this can only be called once.
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/// If `ndarray` is 0-sized, this can never be called.
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pub fn next<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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) {
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call_nac3_nditer_next(generator, ctx, self.instance);
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}
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/// Get pointer to the current element.
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#[must_use]
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pub fn get_pointer<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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) -> PointerValue<'ctx> {
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let elem_ty = ctx.get_llvm_type(generator, self.ndarray.dtype);
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let p = self.instance.get(generator, ctx, |f| f.element);
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ctx.builder
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.build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "element")
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.unwrap()
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}
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/// Get the value of the current element.
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#[must_use]
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pub fn get_scalar<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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) -> AnyObject<'ctx> {
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let p = self.get_pointer(generator, ctx);
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let value = ctx.builder.build_load(p, "value").unwrap();
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AnyObject { ty: self.ndarray.dtype, value }
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}
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/// Get the index of the current element if this ndarray were a flat ndarray.
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#[must_use]
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pub fn get_index<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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) -> Instance<'ctx, Int<SizeT>> {
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self.instance.get(generator, ctx, |f| f.nth)
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}
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/// Get the indices of the current element.
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#[must_use]
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pub fn get_indices(&self) -> Instance<'ctx, Ptr<Int<SizeT>>> {
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self.indices
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}
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}
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impl<'ctx> NDArrayObject<'ctx> {
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/// Iterate through every element in the ndarray.
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///
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|
/// `body` has access to [`BreakContinueHooks`] to short-circuit and [`NDIterHandle`] to
|
||||||
|
/// get properties of the current iteration (e.g., the current element, indices, etc.)
|
||||||
|
pub fn foreach<'a, G, F>(
|
||||||
|
&self,
|
||||||
|
generator: &mut G,
|
||||||
|
ctx: &mut CodeGenContext<'ctx, 'a>,
|
||||||
|
body: F,
|
||||||
|
) -> Result<(), String>
|
||||||
|
where
|
||||||
|
G: CodeGenerator + ?Sized,
|
||||||
|
F: FnOnce(
|
||||||
|
&mut G,
|
||||||
|
&mut CodeGenContext<'ctx, 'a>,
|
||||||
|
BreakContinueHooks<'ctx>,
|
||||||
|
NDIterHandle<'ctx>,
|
||||||
|
) -> Result<(), String>,
|
||||||
|
{
|
||||||
|
gen_for_callback(
|
||||||
|
generator,
|
||||||
|
ctx,
|
||||||
|
Some("ndarray_foreach"),
|
||||||
|
|generator, ctx| Ok(NDIterHandle::new(generator, ctx, *self)),
|
||||||
|
|generator, ctx, nditer| Ok(nditer.has_element(generator, ctx).value),
|
||||||
|
|generator, ctx, hooks, nditer| body(generator, ctx, hooks, nditer),
|
||||||
|
|generator, ctx, nditer| {
|
||||||
|
nditer.next(generator, ctx);
|
||||||
|
Ok(())
|
||||||
|
},
|
||||||
|
)
|
||||||
|
}
|
||||||
|
}
|
Loading…
Reference in New Issue
Block a user