use runmat_builtins::Value;
use runmat_macros::runtime_builtin;
use crate::builtins::common::spec::{
BroadcastSemantics, BuiltinFusionSpec, BuiltinGpuSpec, ConstantStrategy, GpuOpKind,
ReductionNaN, ResidencyPolicy, ShapeRequirements,
};
use crate::builtins::image::color::common;
use crate::builtins::image::color::type_resolvers::gray2rgb_type;
use crate::BuiltinResult;
const NAME: &str = "gray2rgb";
#[runmat_macros::register_gpu_spec(builtin_path = "crate::builtins::image::color::gray2rgb")]
pub const GPU_SPEC: BuiltinGpuSpec = BuiltinGpuSpec {
name: NAME,
op_kind: GpuOpKind::Custom("gray2rgb"),
supported_precisions: &[],
broadcast: BroadcastSemantics::None,
provider_hooks: &[],
constant_strategy: ConstantStrategy::InlineLiteral,
residency: ResidencyPolicy::GatherImmediately,
nan_mode: ReductionNaN::Include,
two_pass_threshold: None,
workgroup_size: None,
accepts_nan_mode: false,
notes: "Host implementation replicates grayscale planes while preserving logical image dtype metadata.",
};
#[runmat_macros::register_fusion_spec(builtin_path = "crate::builtins::image::color::gray2rgb")]
pub const FUSION_SPEC: BuiltinFusionSpec = BuiltinFusionSpec {
name: NAME,
shape: ShapeRequirements::Any,
constant_strategy: ConstantStrategy::InlineLiteral,
elementwise: None,
reduction: None,
emits_nan: false,
notes: "Not fused yet; output rank changes from MxN to MxNx3.",
};
#[runtime_builtin(
name = "gray2rgb",
category = "image/color",
summary = "Replicate a grayscale image into an RGB truecolor image.",
keywords = "gray2rgb,gray,grayscale,rgb,image",
accel = "sink",
type_resolver(gray2rgb_type),
builtin_path = "crate::builtins::image::color::gray2rgb"
)]
async fn gray2rgb_builtin(gray: Value, rest: Vec<Value>) -> BuiltinResult<Value> {
if !rest.is_empty() {
return Err(common::builtin_error(
NAME,
"gray2rgb: too many input arguments",
));
}
let tensor = common::gather_tensor(NAME, gray).await?;
let (rows, cols) = common::grayscale_shape(&tensor, NAME)?;
let pixels = rows * cols;
let mut data = vec![0.0; pixels * 3];
for channel in 0..3 {
data[channel * pixels..(channel + 1) * pixels].copy_from_slice(&tensor.data);
}
let out = common::tensor_with_dtype(data, vec![rows, cols, 3], tensor.dtype, NAME)?;
Ok(common::image_value_from_tensor(out))
}
#[cfg(test)]
mod tests {
use super::*;
use futures::executor::block_on;
use runmat_builtins::{NumericDType, Tensor};
fn call(value: Value) -> BuiltinResult<Value> {
block_on(gray2rgb_builtin(value, Vec::new()))
}
#[test]
fn replicates_grayscale_planes() {
let gray =
Tensor::new_with_dtype(vec![1.0, 2.0, 3.0, 4.0], vec![2, 2], NumericDType::U8).unwrap();
let Value::Tensor(out) = call(Value::Tensor(gray)).expect("gray2rgb") else {
panic!("expected tensor");
};
assert_eq!(out.shape, vec![2, 2, 3]);
assert_eq!(out.dtype, NumericDType::U8);
assert_eq!(
out.data,
vec![1.0, 2.0, 3.0, 4.0, 1.0, 2.0, 3.0, 4.0, 1.0, 2.0, 3.0, 4.0]
);
}
#[test]
fn rejects_truecolor_input() {
let rgb = Tensor::new(vec![1.0; 12], vec![2, 2, 3]).unwrap();
let err = call(Value::Tensor(rgb)).unwrap_err();
assert!(err.message().contains("expected an MxN grayscale image"));
}
}