1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144

use crate::internal::*;
use tract_core::num_traits::Zero;
use tract_core::ops::cnn::DeconvUnary;
use tract_core::ops::cnn::PaddingSpec;
use tract_pulse_opl::ops::DeconvDelay;
use tract_pulse_opl::ops::PulseMask;

register_all!(DeconvUnary: pulsify);

fn pulsify(
    op: &DeconvUnary,
    source: &TypedModel,
    node: &TypedNode,
    target: &mut PulsedModel,
    mapping: &HashMap<OutletId, OutletId>,
    _symbol: &Symbol,
    _pulse: &TDim,
) -> TractResult<Option<TVec<OutletId>>> {
    let fact = target.outlet_fact(mapping[&node.inputs[0]])?.clone();
    let pulse = fact.pulse().unwrap();
    let stream = fact.stream.as_ref().unwrap();
    let c_axis = op.pool_spec.data_format.shape(&fact.shape)?.c_axis();
    if c_axis == stream.axis {
        bail!("Pulsification on C axis is not supported");
    }
    if op
        .axes_mapping(&source.node_input_facts(node.id)?, &source.node_output_facts(node.id)?)?
        .axis((InOut::In(0), stream.axis))?
        .outputs[0]
        .len()
        == 1
    {
        // general case for invariants will manage
        return Ok(None);
    }
    let geo_axis = stream.axis - op.pool_spec.data_format.h_axis();
    let stride = op.pool_spec.stride(geo_axis);
    let mut pulse_op = op.clone();
    pulse_op.adjustments[geo_axis] = stride - 1;
    pulse_op.pool_spec.padding = PaddingSpec::Valid;
    let mut wire = tvec![mapping[&node.inputs[0]]];
    let mask = PulseMask {
        axis: stream.axis,
        begin: stream.delay,
        end: stream.dim.clone() + stream.delay,
        value: Tensor::zero_scalar_dt(fact.datum_type)?,
    };
    wire = target.wire_node(format!("{}.mask", node.name), mask, &wire)?;
    wire = target.wire_node(format!("{}.deconv", node.name), pulse_op, &wire)?;
    let overlap = overlap(stream.axis, op);
    let deconv_input_dim = (stream.dim.clone() - 1) * stride + 1;
    let output_shape = tract_core::ops::cnn::deconv::output_shape(
        &op.pool_spec,
        &fact.streaming_shape(),
        &op.adjustments,
    )?;
    let kernel_spatial_shape = op.kernel_format.hw(op.kernel.shape());
    let shape = op.pool_spec.data_format.shape(fact.streaming_shape())?;
    let paddings = op.pool_spec.padding.compute_for_deconv(
        shape.hw_dims(),
        kernel_spatial_shape,
        &op.pool_spec.dilations(),
        &op.pool_spec.strides(),
        &op.adjustments,
    )?;
    wire = target.wire_node(
        &node.name,
        DeconvDelay {
            axis: stream.axis,
            overlap,
            delay: paddings[geo_axis].pad_before.to_usize()? + stream.delay,
            deconv_input_dim,
            stride,
            pulse: pulse.to_owned(),
            deconv_output_dim: output_shape[stream.axis].clone(),
        },
        &wire,
    )?;

    for (geo_axis, padding) in paddings.iter().enumerate() {
        if !padding.pad_before.is_zero() || !padding.pad_after.is_zero() {
            let axis = geo_axis + shape.h_axis();
            if axis == stream.axis {
                continue;
            };
            let op = crate::model::PulseWrappingOp(Box::new(tract_core::ops::array::Slice::new(
                axis,
                padding.pad_before.clone(),
                padding.deconvoluted.clone() + &padding.pad_before,
            )));
            wire = target.wire_node(format!("{}.padding.{}", node.name, geo_axis), op, &wire)?;
        }
    }

    Ok(Some(wire))
}

fn overlap(pulse_axis: usize, op: &DeconvUnary) -> usize {
    let geo_axis = pulse_axis - op.pool_spec.data_format.h_axis();
    let axis_in_kernel = op.kernel_format.h_axis() + geo_axis;
    (op.kernel.shape()[axis_in_kernel] - 1) * op.pool_spec.dilation(geo_axis)
}

impl PulsedOp for DeconvUnary {
    fn pulsed_output_facts(&self, inputs: &[&PulsedFact]) -> TractResult<TVec<PulsedFact>> {
        let mut fact = inputs[0].clone();
        let stream = fact.stream.as_mut().unwrap();
        let overlap = overlap(stream.axis, self);
        let geo_axis = stream.axis - self.pool_spec.data_format.h_axis();
        let stride = self.pool_spec.stride(geo_axis);
        let mut output_shape = tract_core::ops::cnn::deconv::output_shape(
            &self.pool_spec,
            &inputs[0].streaming_shape(),
            &self.adjustments,
        )?;
        stream.dim = output_shape[stream.axis].clone();
        let pulse_len = fact.shape[stream.axis].clone() * stride;
        output_shape[stream.axis] = pulse_len + overlap;
        fact.shape = output_shape.into();
        if let Some(c) = self.pool_spec.output_channel_override {
            let c_axis = self.pool_spec.data_format.shape(&fact.shape)?.c_axis();
            fact.shape.set(c_axis, c.to_dim())
        }
        Ok(tvec!(fact))
    }

    as_op!();
    pulsed_op_to_typed_op!();
}

impl PulsedOp for DeconvDelay {
    fn pulsed_output_facts(&self, inputs: &[&PulsedFact]) -> TractResult<TVec<PulsedFact>> {
        let mut fact = inputs[0].clone();
        let stream = fact.stream.as_mut().unwrap();
        stream.dim = self.deconv_output_dim.clone();
        let pulse_len = fact.shape[stream.axis].clone();
        fact.shape.set(stream.axis, pulse_len - self.overlap);
        stream.delay = self.delay;
        Ok(tvec!(fact))
    }

    as_op!();
    pulsed_op_to_typed_op!();
}