forked from M-Labs/nac3
core/irrt: Add support for calculating partial size of NDArray
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@ -737,7 +737,7 @@ pub fn call_numpy_min<'ctx, G: CodeGenerator + ?Sized>(
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let llvm_ndarray_ty = ctx.get_llvm_type(generator, elem_ty);
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let n = NDArrayValue::from_ptr_val(n, llvm_usize, None);
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let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes());
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let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes(), (None, None));
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if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
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let n_sz_eqz = ctx.builder
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.build_int_compare(
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@ -955,7 +955,7 @@ pub fn call_numpy_max<'ctx, G: CodeGenerator + ?Sized>(
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let llvm_ndarray_ty = ctx.get_llvm_type(generator, elem_ty);
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let n = NDArrayValue::from_ptr_val(n, llvm_usize, None);
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let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes());
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let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes(), (None, None));
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if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
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let n_sz_eqz = ctx.builder
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.build_int_compare(
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@ -1122,7 +1122,7 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
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ctx: &CodeGenContext<'ctx, '_>,
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generator: &G,
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) -> IntValue<'ctx> {
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call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator))
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call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
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}
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}
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@ -1819,6 +1819,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
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generator,
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ctx,
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&ndarray.dim_sizes().as_slice_value(ctx, generator),
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(None, None),
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);
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ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
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@ -202,10 +202,14 @@ double __nac3_j0(double x) {
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uint32_t __nac3_ndarray_calc_size(
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const uint64_t *list_data,
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uint32_t list_len
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uint32_t list_len,
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uint32_t begin_idx,
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uint32_t end_idx
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) {
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__builtin_assume(end_idx <= list_len);
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uint32_t num_elems = 1;
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for (uint32_t i = 0; i < list_len; ++i) {
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for (uint32_t i = begin_idx; i < end_idx; ++i) {
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uint64_t val = list_data[i];
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__builtin_assume(val > 0);
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num_elems *= val;
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@ -215,10 +219,14 @@ uint32_t __nac3_ndarray_calc_size(
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uint64_t __nac3_ndarray_calc_size64(
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const uint64_t *list_data,
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uint64_t list_len
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uint64_t list_len,
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uint64_t begin_idx,
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uint64_t end_idx
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) {
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__builtin_assume(end_idx <= list_len);
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uint64_t num_elems = 1;
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for (uint64_t i = 0; i < list_len; ++i) {
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for (uint64_t i = begin_idx; i < end_idx; ++i) {
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uint64_t val = list_data[i];
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__builtin_assume(val > 0);
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num_elems *= val;
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@ -583,12 +583,14 @@ pub fn call_j0<'ctx>(
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/// Generates a call to `__nac3_ndarray_calc_size`. Returns an [`IntValue`] representing the
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/// calculated total size.
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///
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/// * `num_dims` - An [`IntValue`] containing the number of dimensions.
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/// * `dims` - A [`PointerValue`] to an array containing the size of each dimension.
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/// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
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/// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
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/// or [`None`] if starting from the first dimension and ending at the last dimension respectively.
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pub fn call_ndarray_calc_size<'ctx, G, Dims>(
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generator: &G,
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ctx: &CodeGenContext<'ctx, '_>,
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dims: &Dims,
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(begin, end): (Option<IntValue<'ctx>>, Option<IntValue<'ctx>>),
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) -> IntValue<'ctx>
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where
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G: CodeGenerator + ?Sized,
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@ -607,6 +609,8 @@ pub fn call_ndarray_calc_size<'ctx, G, Dims>(
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&[
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llvm_pi64.into(),
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llvm_usize.into(),
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llvm_usize.into(),
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llvm_usize.into(),
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],
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false,
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);
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@ -615,12 +619,16 @@ pub fn call_ndarray_calc_size<'ctx, G, Dims>(
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ctx.module.add_function(ndarray_calc_size_fn_name, ndarray_calc_size_fn_t, None)
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});
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let begin = begin.unwrap_or_else(|| llvm_usize.const_zero());
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let end = end.unwrap_or_else(|| dims.size(ctx, generator));
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ctx.builder
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.build_call(
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ndarray_calc_size_fn,
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&[
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dims.base_ptr(ctx, generator).into(),
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dims.size(ctx, generator).into(),
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begin.into(),
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end.into(),
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],
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"",
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)
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@ -134,6 +134,7 @@ fn create_ndarray_dyn_shape<'ctx, 'a, G, V, LenFn, DataFn>(
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generator,
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ctx,
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&ndarray.dim_sizes().as_slice_value(ctx, generator),
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(None, None),
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);
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ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
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@ -203,6 +204,7 @@ fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
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generator,
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ctx,
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&ndarray.dim_sizes().as_slice_value(ctx, generator),
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(None, None),
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);
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ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
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@ -293,6 +295,7 @@ fn ndarray_fill_flattened<'ctx, 'a, G, ValueFn>(
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generator,
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ctx,
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&ndarray.dim_sizes().as_slice_value(ctx, generator),
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(None, None),
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);
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gen_for_callback_incrementing(
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@ -661,6 +664,7 @@ fn ndarray_copy_impl<'ctx, G: CodeGenerator + ?Sized>(
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generator,
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ctx,
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&ndarray.dim_sizes().as_slice_value(ctx, generator),
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(None, None),
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);
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let sizeof_ty = ctx.get_llvm_type(generator, elem_ty);
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let len_bytes = ctx.builder
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