tract_core/ops/cnn/conv/
im2col.rs

1use tract_linalg::frame::{MatMatMul, PackedFormat, PackingWriter};
2use tract_linalg::mmm::{EagerPackedInput, MMMInputValue, PackedOpaqueFact};
3
4use crate::internal::*;
5use ndarray::prelude::*;
6use num_integer::Integer;
7
8use crate::ops::cnn::pools::{ConcretePoolGeometry, PoolGeometry};
9use crate::ops::cnn::{GeometryBound, PoolSpec, ResolveTo};
10use crate::ops::nn::{BaseDataShape, DataFormat, DataShape};
11
12#[derive(Debug, Clone, PartialEq, Eq, Hash)]
13pub struct Im2Col {
14    pub pool_spec: PoolSpec,
15    pub group: usize,
16    geometry: GeometryBound<SymbolicGeometry, ConcreteGeometry>,
17}
18
19#[derive(Debug, Clone, Hash, PartialEq, Eq)]
20struct SymbolicGeometry {
21    group: usize,
22    pool_spec: PoolSpec,
23    pool_geometry: PoolGeometry,
24    b_pack: PackedFormat,
25    k: usize,
26}
27
28#[derive(Debug, Clone, Hash, PartialEq, Eq)]
29struct ConcreteGeometry {
30    pool: ConcretePoolGeometry,
31    pub n: usize,
32    k: usize,
33    pub b_pack: PackedFormat,
34    pub ci_per_group: usize,
35    patcher: Patcher,
36    input_shape_with_n: DataShape,
37    packed_shape: TVec<usize>, // always Batch,Group,Packed
38}
39
40impl GeometryBound<SymbolicGeometry, ConcreteGeometry> {
41    pub fn b_pack(&self) -> &PackedFormat {
42        match self {
43            GeometryBound::Symbolic(s) => &s.b_pack,
44            GeometryBound::Concrete(s) => &s.b_pack,
45        }
46    }
47    pub fn k(&self) -> usize {
48        match self {
49            GeometryBound::Symbolic(s) => s.k,
50            GeometryBound::Concrete(s) => s.k,
51        }
52    }
53}
54
55impl ResolveTo<ConcreteGeometry> for SymbolicGeometry {
56    type Param = [usize];
57    fn resolve(&self, input_full_shape: &[usize]) -> TractResult<ConcreteGeometry> {
58        let pool = self.pool_geometry.to_concrete(input_full_shape)?.into_owned();
59        let patcher = if !pool.patch.padded && pool.patch.rank() == 2 {
60            Patcher::Valid2d
61        } else if pool.patch.rank() == 2 {
62            Patcher::Padded2d
63        } else if !pool.patch.padded && pool.patch.rank() == 1 {
64            Patcher::Valid1d
65        } else {
66            Patcher::Generic
67        };
68        let ci_per_group = pool.input_shape.c_dim() / self.group;
69        let n = pool.output_shape.hw_dims().iter().product();
70        let input_shape_with_n = match self.pool_spec.data_format {
71            DataFormat::HWC => DataFormat::NHWC.from_n_c_hw(
72                1,
73                *pool.input_shape.c(),
74                pool.input_shape.hw_dims(),
75            )?,
76            DataFormat::CHW => DataFormat::NCHW.from_n_c_hw(
77                1,
78                *pool.input_shape.c(),
79                pool.input_shape.hw_dims(),
80            )?,
81            _ => pool.input_shape.clone(),
82        };
83        let packed_shape = Im2Col::packed_shape(&pool.input_shape, self.group)?;
84        Ok(ConcreteGeometry {
85            pool,
86            n,
87            k: self.k,
88            ci_per_group,
89            b_pack: self.b_pack.clone(),
90            patcher,
91            input_shape_with_n,
92            packed_shape,
93        })
94    }
95}
96
97impl Im2Col {
98    pub fn new(
99        pool_spec: PoolSpec,
100        group: usize,
101        k: usize,
102        input_full_shape: &ShapeFact,
103        mmm: Box<dyn MatMatMul>,
104    ) -> TractResult<Im2Col> {
105        let b_pack = mmm.packings()[0]
106            .1
107            .downcast_ref::<PackedFormat>()
108            .context("Im2Col expects regular packed format")?
109            .clone();
110
111        let pool_geometry = pool_spec.compute_geo(input_full_shape)?;
112        let geometry: GeometryBound<_, _> =
113            SymbolicGeometry { group, pool_spec: pool_spec.clone(), pool_geometry, b_pack, k }
114                .into();
115        let geometry = geometry.optimize_if(input_full_shape.as_concrete())?;
116        Ok(Im2Col { pool_spec, group, geometry })
117    }
118
119    // packed shape is Batch,Group
120    fn packed_shape<D: DimLike>(
121        input_shape: &BaseDataShape<D, TVec<D>>,
122        group: usize,
123    ) -> TractResult<TVec<D>> {
124        let mut output_shape: TVec<D> = tvec!();
125        output_shape.push(input_shape.n().cloned().unwrap_or_else(|| 1.into()));
126        output_shape.push(group.into());
127        Ok(output_shape)
128    }
129}
130
131impl Op for Im2Col {
132    fn name(&self) -> Cow<str> {
133        "Im2col".into()
134    }
135
136    fn info(&self) -> TractResult<Vec<String>> {
137        Ok(vec![format!("groups:{}", self.group)])
138    }
139
140    impl_op_same_as!();
141    op_as_typed_op!();
142}
143
144impl EvalOp for Im2Col {
145    fn is_stateless(&self) -> bool {
146        true
147    }
148
149    fn eval(&self, mut inputs: TVec<TValue>) -> TractResult<TVec<TValue>> {
150        let geometry = self.geometry.to_concrete(inputs[0].shape())?;
151        unsafe {
152            let mut input = inputs.remove(0).into_tensor();
153            let pad_value: Option<&Tensor> = if inputs.len() > 0 { Some(&inputs[0]) } else { None };
154            let mut output = Tensor::uninitialized::<Opaque>(&geometry.packed_shape)?;
155            if !self.pool_spec.data_format.has_n() {
156                input.insert_axis(0)?;
157            }
158            let mut output_view = output.to_array_view_mut::<Opaque>()?;
159            let panel_bytes =
160                geometry.b_pack.single_panel_len(geometry.k) * input.datum_type().size_of();
161
162            // in the loop, we have normalized the input so that N is
163            // always here, and output so that N and G are there.
164            if !geometry.pool.output_shape.shape.iter().any(|d| *d == 0) {
165                for i in 0..*geometry.input_shape_with_n.n().unwrap_or(&1) {
166                    let input = input.view_at_prefix(&[i])?;
167                    for g in 0..self.group {
168                        let mut data = Tensor::uninitialized_aligned_dt(
169                            input.datum_type(),
170                            &[geometry.b_pack.len(geometry.k, geometry.n)],
171                            geometry.b_pack.alignment(),
172                        )?;
173                        dispatch_copy_by_size!(Patcher::patch(input.datum_type())(
174                            &geometry.patcher,
175                            &geometry,
176                            &input,
177                            &mut data.view_mut(),
178                            g,
179                            pad_value
180                        ))?;
181                        let input: Box<dyn MMMInputValue> = Box::new(EagerPackedInput {
182                            fact: PackedOpaqueFact {
183                                format: Box::new(geometry.b_pack.clone()),
184                                k: geometry.k,
185                                mn: geometry.n,
186                            },
187                            packed: data.into_blob()?.into(),
188                            panel_bytes,
189                        });
190                        output_view[[i, g]] = input.into();
191                    }
192                }
193            }
194            Ok(tvec!(output.into_tvalue()))
195        }
196    }
197}
198
199impl TypedOp for Im2Col {
200    as_op!();
201
202    fn output_facts(&self, inputs: &[&TypedFact]) -> TractResult<TVec<TypedFact>> {
203        let input_shape = self.pool_spec.data_format.shape(inputs[0].shape.to_tvec())?;
204        Ok(tvec!(Opaque::fact(&[input_shape.n().cloned().unwrap_or(1.into()), self.group.into()])))
205    }
206
207    fn declutter(
208        &self,
209        model: &TypedModel,
210        node: &TypedNode,
211    ) -> TractResult<Option<TypedModelPatch>> {
212        let input_fact = model.outlet_fact(node.inputs[0])?;
213        if node.inputs.len() == 2
214            && model.outlet_fact(node.inputs[1])?.konst.as_ref().and_then(|t| t.as_uniform())
215                == Some(Tensor::zero_scalar_dt(input_fact.datum_type)?)
216        {
217            Ok(Some(
218                TypedModelPatch::replace_single_op(model, node, &node.inputs[0..1], self.clone())?
219                    .with_context("b0 is zero"),
220            ))
221        } else {
222            Ok(None)
223        }
224    }
225}
226
227#[derive(Copy, Clone, Debug, Hash, PartialEq, Eq)]
228enum Patcher {
229    Generic,
230    Valid1d,
231    Valid2d,
232    Padded2d,
233}
234
235impl Patcher {
236    fn patch<'p, T: Copy + Datum + num_traits::Zero>(
237        &self,
238        geo: &'p ConcreteGeometry,
239        input: &TensorView,
240        pack: &'p mut TensorView,
241        g: usize,
242        pad_value: Option<&Tensor>,
243    ) -> TractResult<()> {
244        match self {
245            Patcher::Valid1d => Self::valid_1d::<T>(geo, input, pack, g),
246            Patcher::Valid2d => Self::valid_2d::<T>(geo, input, pack, g),
247            Patcher::Padded2d => Self::padded_2d::<T>(
248                geo,
249                input,
250                pack,
251                g,
252                pad_value.unwrap_or(&Tensor::zero_scalar::<T>()?),
253            ),
254            _ => Self::generic::<T>(
255                geo,
256                input,
257                pack,
258                g,
259                pad_value.unwrap_or(&Tensor::zero_scalar::<T>()?),
260            ),
261        }
262    }
263
264    #[inline(never)]
265    fn generic<'p, T: Copy + Datum>(
266        geometry: &'p ConcreteGeometry,
267        input: &TensorView,
268        pack: &'p mut TensorView,
269        g: usize,
270        pad_value: &Tensor,
271    ) -> TractResult<()> {
272        unsafe {
273            let pad_value = *pad_value.to_scalar_unchecked();
274            let mut mega_matrix = Tensor::uninitialized::<T>(&[geometry.k, geometry.n])?;
275            let mut mega_matrix_view = mega_matrix.to_array_view_mut_unchecked::<T>();
276            let ptr = input.as_ptr_unchecked::<T>();
277            let ptr = ptr.add(geometry.input_shape_with_n.c_stride() * (g * geometry.ci_per_group));
278            for (spatial, mut col) in ndarray::indices(&*geometry.pool.patch.output_shape)
279                .into_iter()
280                .zip(mega_matrix_view.axis_iter_mut(Axis(1)))
281            {
282                let mut col = col.iter_mut();
283                for ci in 0..geometry.ci_per_group {
284                    let ptr = ptr.add(geometry.input_shape_with_n.c_stride() * ci);
285                    for v in geometry.pool.patch.at(spatial.slice()) {
286                        *col.next().expect("geometry error in conv") =
287                            v.map(|o| *ptr.offset(o)).unwrap_or(pad_value);
288                    }
289                }
290            }
291            geometry.b_pack.pack(pack, mega_matrix.view(), 0, 1);
292            Ok(())
293        }
294    }
295
296    #[inline(never)]
297    fn valid_1d<'p, T: Copy + Datum>(
298        geometry: &'p ConcreteGeometry,
299        input: &TensorView,
300        pack: &'p mut TensorView,
301        g: usize,
302    ) -> TractResult<()> {
303        unsafe {
304            let x_stride = *geometry.input_shape_with_n.h_stride() as isize
305                * geometry.pool.patch.spec.strides[0] as isize;
306            let c_stride = *geometry.input_shape_with_n.c_stride() as isize;
307            let pack = pack.as_slice_mut_unchecked::<T>();
308            let mut writer =
309                geometry.b_pack.write_with_k_outer(pack.as_mut_ptr(), geometry.k, geometry.n);
310            let iptr = input.as_ptr_unchecked::<T>();
311            let iptr = iptr.add(g * geometry.ci_per_group * geometry.input_shape_with_n.c_stride());
312            for ci in 0..geometry.ci_per_group {
313                let iptr = iptr.offset(ci as isize * c_stride);
314                for koffset in &geometry.pool.patch.standard_layout_data_field {
315                    let iptr = iptr.offset(*koffset);
316                    for x in 0..*geometry.pool.patch.output_shape.get_unchecked(0) {
317                        writer.write(*iptr.offset(x as isize * x_stride));
318                    }
319                }
320            }
321            Ok(())
322        }
323    }
324
325    #[inline(never)]
326    fn padded_2d<'p, T: Copy + Datum>(
327        geometry: &'p ConcreteGeometry,
328        input: &TensorView,
329        pack: &'p mut TensorView,
330        g: usize,
331        pad_value: &Tensor,
332    ) -> TractResult<()> {
333        unsafe {
334            let pad_value = *pad_value.to_scalar_unchecked();
335            let pack = pack.as_slice_mut_unchecked::<T>();
336            let y_stride = geometry.pool.patch.spec.strides[0] as isize;
337            let x_stride = geometry.pool.patch.spec.strides[1] as isize;
338            let shape = &geometry.input_shape_with_n;
339            let y_stride_ptr = y_stride * *shape.h_stride() as isize;
340            let x_stride_ptr = x_stride * *shape.w_stride() as isize;
341            let c_stride_ptr = *shape.c_stride() as isize;
342            let input_heigth = shape.hw_dims()[0] as isize;
343            let input_width = shape.hw_dims()[1] as isize;
344            let kernel_len = geometry.pool.patch.standard_layout_data_field.len();
345            let mut writer =
346                geometry.b_pack.write_with_k_outer(pack.as_mut_ptr(), geometry.k, geometry.n);
347            let iptr = input.as_ptr_unchecked::<T>();
348            let iptr = iptr.add(g * geometry.ci_per_group * shape.c_stride());
349            let output_width = *geometry.pool.patch.output_shape.get_unchecked(1);
350            for ci in 0..geometry.ci_per_group {
351                let iptr = iptr.offset(ci as isize * c_stride_ptr);
352                for kitem in 0..kernel_len {
353                    let dy = *geometry.pool.patch.data_field.as_ptr().offset(kitem as isize * 2);
354                    let dx =
355                        *geometry.pool.patch.data_field.as_ptr().offset(1 + kitem as isize * 2);
356                    let valid_x_start =
357                        Integer::div_ceil(&-dx, &x_stride).max(0).min(output_width as _);
358                    let valid_x_end =
359                        Integer::div_ceil(&(input_width - dx), &x_stride).min(output_width as _);
360
361                    let iptr = iptr.offset(
362                        *geometry.pool.patch.standard_layout_data_field.get_unchecked(kitem),
363                    );
364                    for yo in 0..*geometry.pool.patch.output_shape.get_unchecked(0) {
365                        let y = yo as isize * y_stride + dy;
366                        let iptr = iptr.offset(yo as isize * y_stride_ptr);
367                        if y >= 0 && y < input_heigth {
368                            Self::padded_2d_invalid_x_loop(
369                                valid_x_start as usize,
370                                pad_value,
371                                &mut writer,
372                            );
373                            Self::padded_2d_valid_x_loop(
374                                valid_x_start,
375                                valid_x_end,
376                                x_stride_ptr,
377                                iptr,
378                                &mut writer,
379                            );
380                            Self::padded_2d_invalid_x_loop(
381                                output_width - valid_x_end as usize,
382                                pad_value,
383                                &mut writer,
384                            );
385                        } else {
386                            Self::padded_2d_invalid_x_loop(output_width, pad_value, &mut writer);
387                        }
388                    }
389                }
390            }
391        }
392        Ok(())
393    }
394
395    #[inline(never)]
396    unsafe fn padded_2d_invalid_x_loop<T: Copy + Datum>(
397        count: usize,
398        pad_value: T,
399        writer: &mut tract_linalg::frame::mmm::pack::KOutWriter<T>,
400    ) {
401        for _ in 0..count {
402            writer.write(pad_value);
403        }
404    }
405
406    #[inline(never)]
407    unsafe fn padded_2d_valid_x_loop<T: Copy + Datum>(
408        x_min: isize,
409        x_max: isize,
410        x_stride_ptr: isize,
411        iptr: *const T,
412        writer: &mut tract_linalg::frame::mmm::pack::KOutWriter<T>,
413    ) {
414        for x in x_min..x_max {
415            writer.write(*iptr.offset(x * x_stride_ptr));
416        }
417    }
418
419    #[inline(never)]
420    fn valid_2d<'p, T: Copy + Datum>(
421        geometry: &'p ConcreteGeometry,
422        input: &TensorView,
423        pack: &'p mut TensorView,
424        g: usize,
425    ) -> TractResult<()> {
426        unsafe {
427            let pack = pack.as_slice_mut_unchecked::<T>();
428            let shape = &geometry.input_shape_with_n;
429            let y_stride = geometry.pool.patch.spec.strides[0] as isize;
430            let x_stride = geometry.pool.patch.spec.strides[1] as isize;
431            let y_stride_ptr = y_stride * *shape.h_stride() as isize;
432            let x_stride_ptr = x_stride * *shape.w_stride() as isize;
433            let c_stride_ptr = *shape.c_stride() as isize;
434            let mut writer =
435                geometry.b_pack.write_with_k_outer(pack.as_mut_ptr(), geometry.k, geometry.n);
436            let iptr = input.as_ptr_unchecked::<T>();
437            let iptr = iptr.add(g * geometry.ci_per_group * shape.c_stride());
438            for ci in 0..geometry.ci_per_group {
439                let iptr = iptr.offset(ci as isize * c_stride_ptr);
440                for koffset in &geometry.pool.patch.standard_layout_data_field {
441                    let iptr = iptr.offset(*koffset);
442                    for y in 0..*geometry.pool.patch.output_shape.get_unchecked(0) {
443                        let iptr = iptr.offset(y as isize * y_stride_ptr);
444                        for x in 0..*geometry.pool.patch.output_shape.get_unchecked(1) {
445                            writer.write(*iptr.offset(x as isize * x_stride_ptr));
446                        }
447                    }
448                }
449            }
450            Ok(())
451        }
452    }
453}