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linear.rs
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linear.rs
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// Copyright 2019 Laurent Mazare.
// Copyright 2019 Guillaume Becquin
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::borrow::Borrow;
use tch::nn::{Init, Module, Path};
use tch::Tensor;
#[derive(Debug, Clone, Copy)]
pub struct LinearNoBiasConfig {
pub ws_init: Init,
}
impl Default for LinearNoBiasConfig {
fn default() -> Self {
LinearNoBiasConfig {
ws_init: Init::KaimingUniform,
}
}
}
#[derive(Debug)]
pub struct LinearNoBias {
pub ws: Tensor,
}
pub fn linear_no_bias<'a, T: Borrow<Path<'a>>>(
vs: T,
in_dim: i64,
out_dim: i64,
c: LinearNoBiasConfig,
) -> LinearNoBias {
let vs = vs.borrow();
LinearNoBias {
ws: vs.var("weight", &[out_dim, in_dim], c.ws_init),
}
}
impl Module for LinearNoBias {
fn forward(&self, xs: &Tensor) -> Tensor {
xs.matmul(&self.ws.tr())
}
}