core/ndstrides: implement np_dot() for scalars and 1D
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@ -15,9 +15,12 @@ use crate::{
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model::*,
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object::{
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any::AnyObject,
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ndarray::{shape_util::parse_numpy_int_sequence, NDArrayObject},
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ndarray::{nditer::NDIterHandle, shape_util::parse_numpy_int_sequence, NDArrayObject},
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},
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stmt::{
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gen_for_callback, gen_for_callback_incrementing, gen_for_range_callback,
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gen_if_else_expr_callback,
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},
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stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
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CodeGenContext, CodeGenerator,
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},
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symbol_resolver::ValueEnum,
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@ -1705,77 +1708,88 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
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) -> Result<BasicValueEnum<'ctx>, String> {
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const FN_NAME: &str = "ndarray_dot";
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let (x1_ty, x1) = x1;
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let (_, x2) = x2;
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let llvm_usize = generator.get_size_type(ctx.ctx);
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let (x2_ty, x2) = x2;
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match (x1, x2) {
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(BasicValueEnum::PointerValue(n1), BasicValueEnum::PointerValue(n2)) => {
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let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
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let n2 = NDArrayValue::from_ptr_val(n2, llvm_usize, None);
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(BasicValueEnum::PointerValue(_), BasicValueEnum::PointerValue(_)) => {
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let a = AnyObject { ty: x1_ty, value: x1 };
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let b = AnyObject { ty: x2_ty, value: x2 };
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let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
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let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
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let a = NDArrayObject::from_object(generator, ctx, a);
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let b = NDArrayObject::from_object(generator, ctx, b);
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// TODO: General `np.dot()` https://numpy.org/doc/stable/reference/generated/numpy.dot.html.
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assert_eq!(a.ndims, 1);
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assert_eq!(b.ndims, 1);
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let common_dtype = a.dtype;
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// Check shapes.
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let a_size = a.size(generator, ctx);
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let b_size = b.size(generator, ctx);
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let same_shape = a_size.compare(ctx, IntPredicate::EQ, b_size);
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ctx.make_assert(
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generator,
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ctx.builder.build_int_compare(IntPredicate::EQ, n1_sz, n2_sz, "").unwrap(),
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same_shape.value,
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"0:ValueError",
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"shapes ({0}), ({1}) not aligned",
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[Some(n1_sz), Some(n2_sz), None],
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"shapes ({0},) and ({1},) not aligned: {0} (dim 0) != {1} (dim 1)",
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[Some(a_size.value), Some(b_size.value), None],
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ctx.current_loc,
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);
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let identity =
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unsafe { n1.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None) };
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let acc = ctx.builder.build_alloca(identity.get_type(), "").unwrap();
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ctx.builder.build_store(acc, identity.get_type().const_zero()).unwrap();
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let dtype_llvm = ctx.get_llvm_type(generator, common_dtype);
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gen_for_callback_incrementing(
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let result = ctx.builder.build_alloca(dtype_llvm, "np_dot_result").unwrap();
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ctx.builder.build_store(result, dtype_llvm.const_zero()).unwrap();
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// Do dot product.
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gen_for_callback(
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generator,
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ctx,
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None,
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llvm_usize.const_zero(),
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(n1_sz, false),
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|generator, ctx, _, idx| {
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let elem1 = unsafe { n1.data().get_unchecked(ctx, generator, &idx, None) };
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let elem2 = unsafe { n2.data().get_unchecked(ctx, generator, &idx, None) };
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Some("np_dot"),
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|generator, ctx| {
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let a_iter = NDIterHandle::new(generator, ctx, a);
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let b_iter = NDIterHandle::new(generator, ctx, b);
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Ok((a_iter, b_iter))
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},
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|generator, ctx, (a_iter, _b_iter)| {
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// Only a_iter drives the condition, b_iter should have the same status.
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Ok(a_iter.has_element(generator, ctx).value)
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},
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|generator, ctx, _hooks, (a_iter, b_iter)| {
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let a_scalar = a_iter.get_scalar(generator, ctx).value;
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let b_scalar = b_iter.get_scalar(generator, ctx).value;
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let product = match elem1 {
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BasicValueEnum::IntValue(e1) => ctx
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.builder
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.build_int_mul(e1, elem2.into_int_value(), "")
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.unwrap()
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.as_basic_value_enum(),
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BasicValueEnum::FloatValue(e1) => ctx
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.builder
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.build_float_mul(e1, elem2.into_float_value(), "")
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.unwrap()
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.as_basic_value_enum(),
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_ => codegen_unreachable!(ctx),
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let old_result = ctx.builder.build_load(result, "").unwrap();
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let new_result: BasicValueEnum<'ctx> = match old_result {
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BasicValueEnum::IntValue(old_result) => {
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let a_scalar = a_scalar.into_int_value();
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let b_scalar = b_scalar.into_int_value();
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let x = ctx.builder.build_int_mul(a_scalar, b_scalar, "").unwrap();
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ctx.builder.build_int_add(old_result, x, "").unwrap().into()
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}
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BasicValueEnum::FloatValue(old_result) => {
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let a_scalar = a_scalar.into_float_value();
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let b_scalar = b_scalar.into_float_value();
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let x = ctx.builder.build_float_mul(a_scalar, b_scalar, "").unwrap();
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ctx.builder.build_float_add(old_result, x, "").unwrap().into()
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}
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_ => {
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panic!("Unrecognized dtype: {}", ctx.unifier.stringify(common_dtype));
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}
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};
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let acc_val = ctx.builder.build_load(acc, "").unwrap();
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let acc_val = match acc_val {
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BasicValueEnum::IntValue(e1) => ctx
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.builder
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.build_int_add(e1, product.into_int_value(), "")
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.unwrap()
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.as_basic_value_enum(),
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BasicValueEnum::FloatValue(e1) => ctx
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.builder
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.build_float_add(e1, product.into_float_value(), "")
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.unwrap()
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.as_basic_value_enum(),
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_ => codegen_unreachable!(ctx),
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};
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ctx.builder.build_store(acc, acc_val).unwrap();
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ctx.builder.build_store(result, new_result).unwrap();
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Ok(())
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},
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llvm_usize.const_int(1, false),
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)?;
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let acc_val = ctx.builder.build_load(acc, "").unwrap();
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Ok(acc_val)
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|generator, ctx, (a_iter, b_iter)| {
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a_iter.next(generator, ctx);
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b_iter.next(generator, ctx);
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Ok(())
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},
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)
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.unwrap();
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Ok(ctx.builder.build_load(result, "").unwrap())
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}
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(BasicValueEnum::IntValue(e1), BasicValueEnum::IntValue(e2)) => {
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Ok(ctx.builder.build_int_mul(e1, e2, "").unwrap().as_basic_value_enum())
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@ -2078,10 +2078,12 @@ impl<'a> BuiltinBuilder<'a> {
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Box::new(move |ctx, _, fun, args, generator| {
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let x1_ty = fun.0.args[0].ty;
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let x1_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
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let x2_ty = fun.0.args[1].ty;
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let x2_val = args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
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Ok(Some(ndarray_dot(generator, ctx, (x1_ty, x1_val), (x2_ty, x2_val))?))
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let result = ndarray_dot(generator, ctx, (x1_ty, x1_val), (x2_ty, x2_val))?;
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Ok(Some(result))
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}),
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),
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