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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;
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
.invariants(&source.node_input_facts(node.id)?, &source.node_output_facts(node.id)?)?
.track_input_axis(0, stream.axis)
.is_some()
{
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 deconv =
target.wire_node(format!("{}.deconv", node.name), pulse_op, &[mapping[&node.inputs[0]]])?
[0];
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 = match op.kernel_format {
tract_core::ops::cnn::KernelFormat::OIHW => &op.kernel.shape()[2..],
tract_core::ops::cnn::KernelFormat::HWIO => &op.kernel.shape()[..op.kernel.rank() - 2],
};
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,
)?;
let mut 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(),
},
&[deconv],
)?;
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 = match op.kernel_format {
tract_core::ops::cnn::KernelFormat::OIHW => 2 + geo_axis,
tract_core::ops::cnn::KernelFormat::HWIO => 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 mut 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 mut 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!();
}