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Add some group parameter to convolutions. (#566)

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* Add some group parameter to convolutions.

* Avoid some unnecessary groups checks.

* Move the tensor convolution bits.

* Properh handling of groups.

* Bump the crate version.

* And add a changelog.
This commit is contained in:
Laurent Mazare
2023-08-23 12:58:55 +01:00
committed by GitHub
parent 4ee1cf038a
commit aba1e90797
30 changed files with 216 additions and 113 deletions
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2
candle-examples/examples/stable-diffusion/resnet.rs
View File

@ -66,6 +66,7 @@ impl ResnetBlock2D {
let conv_cfg = nn::Conv2dConfig {
stride: 1,
padding: 1,
groups: 1,
};
let norm1 = nn::group_norm(config.groups, in_channels, config.eps, vs.pp("norm1"))?;
let conv1 = conv2d(in_channels, out_channels, 3, conv_cfg, vs.pp("conv1"))?;
@ -79,6 +80,7 @@ impl ResnetBlock2D {
let conv_cfg = nn::Conv2dConfig {
stride: 1,
padding: 0,
groups: 1,
};
Some(conv2d(
in_channels,

2
candle-examples/examples/stable-diffusion/unet_2d.rs
View File

@ -112,8 +112,8 @@ impl UNet2DConditionModel {
let bl_attention_head_dim = config.blocks.last().unwrap().attention_head_dim;
let time_embed_dim = b_channels * 4;
let conv_cfg = nn::Conv2dConfig {
stride: 1,
padding: 1,
..Default::default()
};
let conv_in = conv2d(in_channels, b_channels, 3, conv_cfg, vs.pp("conv_in"))?;

6
candle-examples/examples/stable-diffusion/unet_2d_blocks.rs
View File

@ -24,7 +24,11 @@ impl Downsample2D {
padding: usize,
) -> Result<Self> {
let conv = if use_conv {
let config = nn::Conv2dConfig { stride: 2, padding };
let config = nn::Conv2dConfig {
stride: 2,
padding,
..Default::default()
};
let conv = conv2d(in_channels, out_channels, 3, config, vs.pp("conv"))?;
Some(conv)
} else {

4
candle-examples/examples/stable-diffusion/vae.rs
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@ -51,8 +51,8 @@ impl Encoder {
config: EncoderConfig,
) -> Result<Self> {
let conv_cfg = nn::Conv2dConfig {
stride: 1,
padding: 1,
..Default::default()
};
let conv_in = nn::conv2d(
in_channels,
@ -182,8 +182,8 @@ impl Decoder {
let n_block_out_channels = config.block_out_channels.len();
let last_block_out_channels = *config.block_out_channels.last().unwrap();
let conv_cfg = nn::Conv2dConfig {
stride: 1,
padding: 1,
..Default::default()
};
let conv_in = nn::conv2d(
in_channels,