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[stdout] | [INFO] [stdout] 7 | use ndarray::Array; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `CLIP_MLP_EXPANSION` [INFO] [stdout] --> src/clip.rs:3:91 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::types::{CLIP_EMBEDDING_DIM, MAX_TOKEN_LENGTH, CLIP_NUM_LAYERS, CLIP_NUM_HEADS, CLIP_MLP_EXPANSION, TOKEN_VOCAB_SIZE}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/clip.rs:4:31 [INFO] [stdout] | [INFO] [stdout] 4 | use ndarray::{Array1, Array2, Axis, s}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::types::LATENT_CHANNELS` [INFO] [stdout] --> src/diffusion.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::types::LATENT_CHANNELS; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Array3` [INFO] [stdout] --> src/diffusion.rs:5:39 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray::{Array1, Array2, Array4, Array3}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand_chacha::ChaCha8Rng` [INFO] [stdout] --> src/diffusion.rs:8:5 [INFO] [stdout] | [INFO] [stdout] 8 | use rand_chacha::ChaCha8Rng; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand::SeedableRng` [INFO] [stdout] --> src/diffusion.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use rand::SeedableRng; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand_distr::Normal` [INFO] [stdout] --> src/diffusion.rs:10:5 [INFO] [stdout] | [INFO] [stdout] 10 | use rand_distr::Normal; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `LATENT_CHANNELS`, `LATENT_HEIGHT`, `LATENT_WIDTH`, `OUTPUT_CHANNELS`, `OUTPUT_HEIGHT`, `OUTPUT_WIDTH`, and `TensorF32` [INFO] [stdout] --> src/vae.rs:3:20 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::types::{TensorF32, LATENT_CHANNELS, LATENT_HEIGHT, LATENT_WIDTH, OUTPUT_CHANNELS, OUTPUT_HEIGHT, OUTPUT_WIDTH}; [INFO] [stdout] | ^^^^^^^^^ ^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^ ^^^^^^^^^^^^ ^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^ ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Array` and `IxDyn` [INFO] [stdout] --> src/utils.rs:4:15 [INFO] [stdout] | [INFO] [stdout] 4 | use ndarray::{Array, IxDyn}; [INFO] [stdout] | ^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Array2` and `Axis` [INFO] [stdout] --> src/conv_ops.rs:3:23 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{Array4, Array2, Array1, s, Axis}; [INFO] [stdout] | ^^^^^^ ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Array` [INFO] [stdout] --> examples/mmap_arrayview.rs:5:26 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray::{ArrayView, Array, IxDyn, s}; [INFO] [stdout] | ^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `data_start` [INFO] [stdout] --> examples/mmap_arrayview.rs:21:9 [INFO] [stdout] | [INFO] [stdout] 21 | let data_start = 8 + header_size; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_data_start` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `TensorF32` and `WeightMatrix` [INFO] [stdout] --> src/weights.rs:6:20 [INFO] [stdout] | [INFO] [stdout] 6 | use crate::types::{TensorF32, WeightMatrix}; [INFO] [stdout] | ^^^^^^^^^ ^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ndarray::Array` [INFO] [stdout] --> src/weights.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use ndarray::Array; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `CLIP_MLP_EXPANSION` [INFO] [stdout] --> src/clip.rs:3:91 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::types::{CLIP_EMBEDDING_DIM, MAX_TOKEN_LENGTH, CLIP_NUM_LAYERS, CLIP_NUM_HEADS, CLIP_MLP_EXPANSION, TOKEN_VOCAB_SIZE}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/clip.rs:4:31 [INFO] [stdout] | [INFO] [stdout] 4 | use ndarray::{Array1, Array2, Axis, s}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::types::LATENT_CHANNELS` [INFO] [stdout] --> src/diffusion.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::types::LATENT_CHANNELS; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Array3` [INFO] [stdout] --> src/diffusion.rs:5:39 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray::{Array1, Array2, Array4, Array3}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand_chacha::ChaCha8Rng` [INFO] [stdout] --> src/diffusion.rs:8:5 [INFO] [stdout] | [INFO] [stdout] 8 | use rand_chacha::ChaCha8Rng; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand::SeedableRng` [INFO] [stdout] --> src/diffusion.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use rand::SeedableRng; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand_distr::Normal` [INFO] [stdout] --> src/diffusion.rs:10:5 [INFO] [stdout] | [INFO] [stdout] 10 | use rand_distr::Normal; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `LATENT_CHANNELS`, `LATENT_HEIGHT`, `LATENT_WIDTH`, `OUTPUT_CHANNELS`, `OUTPUT_HEIGHT`, `OUTPUT_WIDTH`, and `TensorF32` [INFO] [stdout] --> src/vae.rs:3:20 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::types::{TensorF32, LATENT_CHANNELS, LATENT_HEIGHT, LATENT_WIDTH, OUTPUT_CHANNELS, OUTPUT_HEIGHT, OUTPUT_WIDTH}; [INFO] [stdout] | ^^^^^^^^^ ^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^ ^^^^^^^^^^^^ ^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^ ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Array` and `IxDyn` [INFO] [stdout] --> src/utils.rs:4:15 [INFO] [stdout] | [INFO] [stdout] 4 | use ndarray::{Array, IxDyn}; [INFO] [stdout] | ^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Array2` and `Axis` [INFO] [stdout] --> src/conv_ops.rs:3:23 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{Array4, Array2, Array1, s, Axis}; [INFO] [stdout] | ^^^^^^ ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand::distributions::Distribution` [INFO] [stdout] --> src/diffusion.rs:11:5 [INFO] [stdout] | [INFO] [stdout] 11 | use rand::distributions::Distribution; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rand::distributions::Distribution` [INFO] [stdout] --> src/diffusion.rs:11:5 [INFO] [stdout] | [INFO] [stdout] 11 | use rand::distributions::Distribution; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `valid_count` is assigned to, but never used [INFO] [stdout] --> src/weights.rs:461:9 [INFO] [stdout] | [INFO] [stdout] 461 | let mut valid_count = 0; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_valid_count` instead [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `valid_count` is never read [INFO] [stdout] --> src/weights.rs:468:21 [INFO] [stdout] | [INFO] [stdout] 468 | valid_count += 1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `valid_count` is assigned to, but never used [INFO] [stdout] --> src/weights.rs:511:9 [INFO] [stdout] | [INFO] [stdout] 511 | let mut valid_count = 0; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_valid_count` instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `valid_count` is never read [INFO] [stdout] --> src/weights.rs:518:21 [INFO] [stdout] | [INFO] [stdout] 518 | valid_count += 1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `valid_count` is assigned to, but never used [INFO] [stdout] --> src/weights.rs:461:9 [INFO] [stdout] | [INFO] [stdout] 461 | let mut valid_count = 0; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_valid_count` instead [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `valid_count` is never read [INFO] [stdout] --> src/weights.rs:468:21 [INFO] [stdout] | [INFO] [stdout] 468 | valid_count += 1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `valid_count` is assigned to, but never used [INFO] [stdout] --> src/weights.rs:511:9 [INFO] [stdout] | [INFO] [stdout] 511 | let mut valid_count = 0; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_valid_count` instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `valid_count` is never read [INFO] [stdout] --> src/weights.rs:518:21 [INFO] [stdout] | [INFO] [stdout] 518 | valid_count += 1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `in_ch` [INFO] [stdout] --> src/diffusion.rs:585:17 [INFO] [stdout] | [INFO] [stdout] 585 | let in_ch = if block_idx == 0 { 320 } else { block_channels[block_idx - 1] }; [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_in_ch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `latent` [INFO] [stdout] --> src/vae.rs:25:26 [INFO] [stdout] | [INFO] [stdout] 25 | pub fn decode(&self, latent: Array4) -> Result, String> { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_latent` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `axis` [INFO] [stdout] --> src/utils.rs:15:31 [INFO] [stdout] | [INFO] [stdout] 15 | pub fn softmax(x: &TensorF32, axis: ndarray::Axis) -> TensorF32 { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_axis` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gamma` [INFO] [stdout] --> src/utils.rs:25:5 [INFO] [stdout] | [INFO] [stdout] 25 | gamma: &TensorF32, [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_gamma` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta` [INFO] [stdout] --> src/utils.rs:26:5 [INFO] [stdout] | [INFO] [stdout] 26 | beta: &TensorF32, [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_beta` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `eps` [INFO] [stdout] --> src/utils.rs:27:5 [INFO] [stdout] | [INFO] [stdout] 27 | eps: f32, [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_eps` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `b` [INFO] [stdout] --> src/utils.rs:34:31 [INFO] [stdout] | [INFO] [stdout] 34 | pub fn mat_mul(a: &TensorF32, b: &TensorF32) -> TensorF32 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_b` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tensor` [INFO] [stdout] --> src/utils.rs:40:30 [INFO] [stdout] | [INFO] [stdout] 40 | pub fn tensor_to_image_uint8(tensor: &TensorF32) -> Vec { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_tensor` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `shape` [INFO] [stdout] --> src/utils.rs:46:14 [INFO] [stdout] | [INFO] [stdout] 46 | pub fn randn(shape: &[usize]) -> TensorF32 { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_shape` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gamma` [INFO] [stdout] --> src/conv_ops.rs:76:5 [INFO] [stdout] | [INFO] [stdout] 76 | gamma: Option<&Array1>, [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_gamma` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta` [INFO] [stdout] --> src/conv_ops.rs:77:5 [INFO] [stdout] | [INFO] [stdout] 77 | beta: Option<&Array1>, [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_beta` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `in_ch` [INFO] [stdout] --> src/diffusion.rs:585:17 [INFO] [stdout] | [INFO] [stdout] 585 | let in_ch = if block_idx == 0 { 320 } else { block_channels[block_idx - 1] }; [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_in_ch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `latent` [INFO] [stdout] --> src/vae.rs:25:26 [INFO] [stdout] | [INFO] [stdout] 25 | pub fn decode(&self, latent: Array4) -> Result, String> { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_latent` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `axis` [INFO] [stdout] --> src/utils.rs:15:31 [INFO] [stdout] | [INFO] [stdout] 15 | pub fn softmax(x: &TensorF32, axis: ndarray::Axis) -> TensorF32 { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_axis` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gamma` [INFO] [stdout] --> src/utils.rs:25:5 [INFO] [stdout] | [INFO] [stdout] 25 | gamma: &TensorF32, [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_gamma` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta` [INFO] [stdout] --> src/utils.rs:26:5 [INFO] [stdout] | [INFO] [stdout] 26 | beta: &TensorF32, [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_beta` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `eps` [INFO] [stdout] --> src/utils.rs:27:5 [INFO] [stdout] | [INFO] [stdout] 27 | eps: f32, [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_eps` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `b` [INFO] [stdout] --> src/utils.rs:34:31 [INFO] [stdout] | [INFO] [stdout] 34 | pub fn mat_mul(a: &TensorF32, b: &TensorF32) -> TensorF32 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_b` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tensor` [INFO] [stdout] --> src/utils.rs:40:30 [INFO] [stdout] | [INFO] [stdout] 40 | pub fn tensor_to_image_uint8(tensor: &TensorF32) -> Vec { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_tensor` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `shape` [INFO] [stdout] --> src/utils.rs:46:14 [INFO] [stdout] | [INFO] [stdout] 46 | pub fn randn(shape: &[usize]) -> TensorF32 { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_shape` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gamma` [INFO] [stdout] --> src/conv_ops.rs:76:5 [INFO] [stdout] | [INFO] [stdout] 76 | gamma: Option<&Array1>, [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_gamma` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta` [INFO] [stdout] --> src/conv_ops.rs:77:5 [INFO] [stdout] | [INFO] [stdout] 77 | beta: Option<&Array1>, [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_beta` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `clip_weights`, `unet_weights`, and `vae_weights` are never read [INFO] [stdout] --> src/weights.rs:14:9 [INFO] [stdout] | [INFO] [stdout] 12 | pub struct WeightStore { [INFO] [stdout] | ----------- fields in this struct [INFO] [stdout] 13 | /// CLIP text encoder weights [INFO] [stdout] 14 | pub clip_weights: ClipWeights, [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] 15 | /// UNet denoiser weights [INFO] [stdout] 16 | pub unet_weights: UNetWeights, [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] 17 | /// VAE decoder weights [INFO] [stdout] 18 | pub vae_weights: VaeWeights, [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `sqrt_alphas_cumprod` is never read [INFO] [stdout] --> src/diffusion.rs:22:9 [INFO] [stdout] | [INFO] [stdout] 14 | pub struct NoiseSchedule { [INFO] [stdout] | ------------- field in this struct [INFO] [stdout] ... [INFO] [stdout] 22 | pub sqrt_alphas_cumprod: Array1, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `scaled_linear` and `get_scaled_noise` are never used [INFO] [stdout] --> src/diffusion.rs:48:12 [INFO] [stdout] | [INFO] [stdout] 29 | impl NoiseSchedule { [INFO] [stdout] | ------------------ associated items in this implementation [INFO] [stdout] ... [INFO] [stdout] 48 | pub fn scaled_linear(num_steps: usize) -> Self { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 121 | pub fn get_scaled_noise(&self, t: usize) -> (f32, f32) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `embeddings` is never read [INFO] [stdout] --> src/diffusion.rs:130:5 [INFO] [stdout] | [INFO] [stdout] 128 | pub struct TimestepEmbedding { [INFO] [stdout] | ----------------- field in this struct [INFO] [stdout] 129 | /// Pre-computed sinusoidal embeddings for 1000 timesteps [INFO] [stdout] 130 | embeddings: Array2, // (1000, embedding_dim) [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `get` is never used [INFO] [stdout] --> src/diffusion.rs:156:12 [INFO] [stdout] | [INFO] [stdout] 133 | impl TimestepEmbedding { [INFO] [stdout] | ---------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 156 | pub fn get(&self, timestep: usize) -> Array1 { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `in_channels` and `out_channels` are never read [INFO] [stdout] --> src/diffusion.rs:172:9 [INFO] [stdout] | [INFO] [stdout] 168 | pub struct ResidualBlock { [INFO] [stdout] | ------------- fields in this struct [INFO] [stdout] ... [INFO] [stdout] 172 | pub in_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] 173 | pub out_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `forward` is never used [INFO] [stdout] --> src/diffusion.rs:185:12 [INFO] [stdout] | [INFO] [stdout] 176 | impl ResidualBlock { [INFO] [stdout] | ------------------ method in this implementation [INFO] [stdout] ... [INFO] [stdout] 185 | pub fn forward(&self, x: &Array4, _time_emb: &Array1) -> Array4 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `query_dim`, `context_dim`, and `num_heads` are never read [INFO] [stdout] --> src/diffusion.rs:202:9 [INFO] [stdout] | [INFO] [stdout] 201 | pub struct CrossAttentionBlock { [INFO] [stdout] | ------------------- fields in this struct [INFO] [stdout] 202 | pub query_dim: usize, // Dimension of noisy latent features [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] 203 | pub context_dim: usize, // Dimension of text embeddings (1280 after projection) [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] 204 | pub num_heads: usize, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `forward` is never used [INFO] [stdout] --> src/diffusion.rs:217:12 [INFO] [stdout] | [INFO] [stdout] 207 | impl CrossAttentionBlock { [INFO] [stdout] | ------------------------ method in this implementation [INFO] [stdout] ... [INFO] [stdout] 217 | pub fn forward( [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `time_embedding`, `input_channels`, `hidden_channels`, `residual_blocks`, `attention_blocks`, and `output_channels` are never read [INFO] [stdout] --> src/diffusion.rs:237:9 [INFO] [stdout] | [INFO] [stdout] 235 | pub struct UNetDenoiser { [INFO] [stdout] | ------------ fields in this struct [INFO] [stdout] 236 | /// Timestep embedding module [INFO] [stdout] 237 | pub time_embedding: TimestepEmbedding, [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 240 | pub input_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] 241 | pub hidden_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 244 | pub residual_blocks: Vec, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 247 | pub attention_blocks: Vec, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 250 | pub output_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated functions `new` and `with_scaled_linear_schedule` are never used [INFO] [stdout] --> src/diffusion.rs:737:12 [INFO] [stdout] | [INFO] [stdout] 735 | impl DiffusionPipeline { [INFO] [stdout] | ---------------------- associated functions in this implementation [INFO] [stdout] 736 | /// Create a new diffusion pipeline with linear noise schedule [INFO] [stdout] 737 | pub fn new(unet_path: &str) -> Result { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 760 | pub fn with_scaled_linear_schedule(unet_path: &str) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gelu` is never used [INFO] [stdout] --> src/utils.rs:9:8 [INFO] [stdout] | [INFO] [stdout] 9 | pub fn gelu(x: &TensorF32) -> TensorF32 { [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `softmax` is never used [INFO] [stdout] --> src/utils.rs:15:8 [INFO] [stdout] | [INFO] [stdout] 15 | pub fn softmax(x: &TensorF32, axis: ndarray::Axis) -> TensorF32 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `layer_norm` is never used [INFO] [stdout] --> src/utils.rs:23:8 [INFO] [stdout] | [INFO] [stdout] 23 | pub fn layer_norm( [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `mat_mul` is never used [INFO] [stdout] --> src/utils.rs:34:8 [INFO] [stdout] | [INFO] [stdout] 34 | pub fn mat_mul(a: &TensorF32, b: &TensorF32) -> TensorF32 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `tensor_to_image_uint8` is never used [INFO] [stdout] --> src/utils.rs:40:8 [INFO] [stdout] | [INFO] [stdout] 40 | pub fn tensor_to_image_uint8(tensor: &TensorF32) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `randn` is never used [INFO] [stdout] --> src/utils.rs:46:8 [INFO] [stdout] | [INFO] [stdout] 46 | pub fn randn(shape: &[usize]) -> TensorF32 { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `WeightMatrix` is never used [INFO] [stdout] --> src/types.rs:10:10 [INFO] [stdout] | [INFO] [stdout] 10 | pub type WeightMatrix<'a> = ArrayView<'a, f32, IxDyn>; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `TensorBf16` is never used [INFO] [stdout] --> src/types.rs:17:10 [INFO] [stdout] | [INFO] [stdout] 17 | pub type TensorBf16 = Array; [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `TensorF32` is never used [INFO] [stdout] --> src/types.rs:20:10 [INFO] [stdout] | [INFO] [stdout] 20 | pub type TensorF32 = Array; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `CLIP_MLP_EXPANSION` is never used [INFO] [stdout] --> src/types.rs:38:11 [INFO] [stdout] | [INFO] [stdout] 38 | pub const CLIP_MLP_EXPANSION: usize = 4; // 768 → 3072 → 768 [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `DIFFUSION_STEPS` is never used [INFO] [stdout] --> src/types.rs:41:11 [INFO] [stdout] | [INFO] [stdout] 41 | pub const DIFFUSION_STEPS: usize = 1000; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `LATENT_HEIGHT` is never used [INFO] [stdout] --> src/types.rs:44:11 [INFO] [stdout] | [INFO] [stdout] 44 | pub const LATENT_HEIGHT: usize = 64; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `LATENT_WIDTH` is never used [INFO] [stdout] --> src/types.rs:45:11 [INFO] [stdout] | [INFO] [stdout] 45 | pub const LATENT_WIDTH: usize = 64; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `LATENT_CHANNELS` is never used [INFO] [stdout] --> src/types.rs:48:11 [INFO] [stdout] | [INFO] [stdout] 48 | pub const LATENT_CHANNELS: usize = 4; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `OUTPUT_HEIGHT` is never used [INFO] [stdout] --> src/types.rs:51:11 [INFO] [stdout] | [INFO] [stdout] 51 | pub const OUTPUT_HEIGHT: usize = 512; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `OUTPUT_WIDTH` is never used [INFO] [stdout] --> src/types.rs:52:11 [INFO] [stdout] | [INFO] [stdout] 52 | pub const OUTPUT_WIDTH: usize = 512; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `OUTPUT_CHANNELS` is never used [INFO] [stdout] --> src/types.rs:55:11 [INFO] [stdout] | [INFO] [stdout] 55 | pub const OUTPUT_CHANNELS: usize = 3; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `group_norm` is never used [INFO] [stdout] --> src/conv_ops.rs:16:8 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn group_norm( [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `conv2d_fast` is never used [INFO] [stdout] --> src/conv_ops.rs:211:8 [INFO] [stdout] | [INFO] [stdout] 211 | pub fn conv2d_fast( [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `add_skip_connection` is never used [INFO] [stdout] --> src/conv_ops.rs:290:8 [INFO] [stdout] | [INFO] [stdout] 290 | pub fn add_skip_connection(x: &Array4, skip: &Array4) -> Array4 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `clip_weights`, `unet_weights`, and `vae_weights` are never read [INFO] [stdout] --> src/weights.rs:14:9 [INFO] [stdout] | [INFO] [stdout] 12 | pub struct WeightStore { [INFO] [stdout] | ----------- fields in this struct [INFO] [stdout] 13 | /// CLIP text encoder weights [INFO] [stdout] 14 | pub clip_weights: ClipWeights, [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] 15 | /// UNet denoiser weights [INFO] [stdout] 16 | pub unet_weights: UNetWeights, [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] 17 | /// VAE decoder weights [INFO] [stdout] 18 | pub vae_weights: VaeWeights, [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `sqrt_alphas_cumprod` is never read [INFO] [stdout] --> src/diffusion.rs:22:9 [INFO] [stdout] | [INFO] [stdout] 14 | pub struct NoiseSchedule { [INFO] [stdout] | ------------- field in this struct [INFO] [stdout] ... [INFO] [stdout] 22 | pub sqrt_alphas_cumprod: Array1, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `scaled_linear` and `get_scaled_noise` are never used [INFO] [stdout] --> src/diffusion.rs:48:12 [INFO] [stdout] | [INFO] [stdout] 29 | impl NoiseSchedule { [INFO] [stdout] | ------------------ associated items in this implementation [INFO] [stdout] ... [INFO] [stdout] 48 | pub fn scaled_linear(num_steps: usize) -> Self { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 121 | pub fn get_scaled_noise(&self, t: usize) -> (f32, f32) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `embeddings` is never read [INFO] [stdout] --> src/diffusion.rs:130:5 [INFO] [stdout] | [INFO] [stdout] 128 | pub struct TimestepEmbedding { [INFO] [stdout] | ----------------- field in this struct [INFO] [stdout] 129 | /// Pre-computed sinusoidal embeddings for 1000 timesteps [INFO] [stdout] 130 | embeddings: Array2, // (1000, embedding_dim) [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `get` is never used [INFO] [stdout] --> src/diffusion.rs:156:12 [INFO] [stdout] | [INFO] [stdout] 133 | impl TimestepEmbedding { [INFO] [stdout] | ---------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 156 | pub fn get(&self, timestep: usize) -> Array1 { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `in_channels` and `out_channels` are never read [INFO] [stdout] --> src/diffusion.rs:172:9 [INFO] [stdout] | [INFO] [stdout] 168 | pub struct ResidualBlock { [INFO] [stdout] | ------------- fields in this struct [INFO] [stdout] ... [INFO] [stdout] 172 | pub in_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] 173 | pub out_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `forward` is never used [INFO] [stdout] --> src/diffusion.rs:185:12 [INFO] [stdout] | [INFO] [stdout] 176 | impl ResidualBlock { [INFO] [stdout] | ------------------ method in this implementation [INFO] [stdout] ... [INFO] [stdout] 185 | pub fn forward(&self, x: &Array4, _time_emb: &Array1) -> Array4 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `query_dim`, `context_dim`, and `num_heads` are never read [INFO] [stdout] --> src/diffusion.rs:202:9 [INFO] [stdout] | [INFO] [stdout] 201 | pub struct CrossAttentionBlock { [INFO] [stdout] | ------------------- fields in this struct [INFO] [stdout] 202 | pub query_dim: usize, // Dimension of noisy latent features [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] 203 | pub context_dim: usize, // Dimension of text embeddings (1280 after projection) [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] 204 | pub num_heads: usize, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `forward` is never used [INFO] [stdout] --> src/diffusion.rs:217:12 [INFO] [stdout] | [INFO] [stdout] 207 | impl CrossAttentionBlock { [INFO] [stdout] | ------------------------ method in this implementation [INFO] [stdout] ... [INFO] [stdout] 217 | pub fn forward( [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `time_embedding`, `input_channels`, `hidden_channels`, `residual_blocks`, `attention_blocks`, and `output_channels` are never read [INFO] [stdout] --> src/diffusion.rs:237:9 [INFO] [stdout] | [INFO] [stdout] 235 | pub struct UNetDenoiser { [INFO] [stdout] | ------------ fields in this struct [INFO] [stdout] 236 | /// Timestep embedding module [INFO] [stdout] 237 | pub time_embedding: TimestepEmbedding, [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 240 | pub input_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] 241 | pub hidden_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 244 | pub residual_blocks: Vec, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 247 | pub attention_blocks: Vec, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 250 | pub output_channels: usize, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated functions `new` and `with_scaled_linear_schedule` are never used [INFO] [stdout] --> src/diffusion.rs:737:12 [INFO] [stdout] | [INFO] [stdout] 735 | impl DiffusionPipeline { [INFO] [stdout] | ---------------------- associated functions in this implementation [INFO] [stdout] 736 | /// Create a new diffusion pipeline with linear noise schedule [INFO] [stdout] 737 | pub fn new(unet_path: &str) -> Result { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 760 | pub fn with_scaled_linear_schedule(unet_path: &str) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gelu` is never used [INFO] [stdout] --> src/utils.rs:9:8 [INFO] [stdout] | [INFO] [stdout] 9 | pub fn gelu(x: &TensorF32) -> TensorF32 { [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `softmax` is never used [INFO] [stdout] --> src/utils.rs:15:8 [INFO] [stdout] | [INFO] [stdout] 15 | pub fn softmax(x: &TensorF32, axis: ndarray::Axis) -> TensorF32 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `layer_norm` is never used [INFO] [stdout] --> src/utils.rs:23:8 [INFO] [stdout] | [INFO] [stdout] 23 | pub fn layer_norm( [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `mat_mul` is never used [INFO] [stdout] --> src/utils.rs:34:8 [INFO] [stdout] | [INFO] [stdout] 34 | pub fn mat_mul(a: &TensorF32, b: &TensorF32) -> TensorF32 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `tensor_to_image_uint8` is never used [INFO] [stdout] --> src/utils.rs:40:8 [INFO] [stdout] | [INFO] [stdout] 40 | pub fn tensor_to_image_uint8(tensor: &TensorF32) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `randn` is never used [INFO] [stdout] --> src/utils.rs:46:8 [INFO] [stdout] | [INFO] [stdout] 46 | pub fn randn(shape: &[usize]) -> TensorF32 { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `WeightMatrix` is never used [INFO] [stdout] --> src/types.rs:10:10 [INFO] [stdout] | [INFO] [stdout] 10 | pub type WeightMatrix<'a> = ArrayView<'a, f32, IxDyn>; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `TensorBf16` is never used [INFO] [stdout] --> src/types.rs:17:10 [INFO] [stdout] | [INFO] [stdout] 17 | pub type TensorBf16 = Array; [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `TensorF32` is never used [INFO] [stdout] --> src/types.rs:20:10 [INFO] [stdout] | [INFO] [stdout] 20 | pub type TensorF32 = Array; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `CLIP_MLP_EXPANSION` is never used [INFO] [stdout] --> src/types.rs:38:11 [INFO] [stdout] | [INFO] [stdout] 38 | pub const CLIP_MLP_EXPANSION: usize = 4; // 768 → 3072 → 768 [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `DIFFUSION_STEPS` is never used [INFO] [stdout] --> src/types.rs:41:11 [INFO] [stdout] | [INFO] [stdout] 41 | pub const DIFFUSION_STEPS: usize = 1000; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `LATENT_HEIGHT` is never used [INFO] [stdout] --> src/types.rs:44:11 [INFO] [stdout] | [INFO] [stdout] 44 | pub const LATENT_HEIGHT: usize = 64; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `LATENT_WIDTH` is never used [INFO] [stdout] --> src/types.rs:45:11 [INFO] [stdout] | [INFO] [stdout] 45 | pub const LATENT_WIDTH: usize = 64; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `LATENT_CHANNELS` is never used [INFO] [stdout] --> src/types.rs:48:11 [INFO] [stdout] | [INFO] [stdout] 48 | pub const LATENT_CHANNELS: usize = 4; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `OUTPUT_HEIGHT` is never used [INFO] [stdout] --> src/types.rs:51:11 [INFO] [stdout] | [INFO] [stdout] 51 | pub const OUTPUT_HEIGHT: usize = 512; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `OUTPUT_WIDTH` is never used [INFO] [stdout] --> src/types.rs:52:11 [INFO] [stdout] | [INFO] [stdout] 52 | pub const OUTPUT_WIDTH: usize = 512; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `OUTPUT_CHANNELS` is never used [INFO] [stdout] --> src/types.rs:55:11 [INFO] [stdout] | [INFO] [stdout] 55 | pub const OUTPUT_CHANNELS: usize = 3; [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `group_norm` is never used [INFO] [stdout] --> src/conv_ops.rs:16:8 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn group_norm( [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `conv2d_fast` is never used [INFO] [stdout] --> src/conv_ops.rs:211:8 [INFO] [stdout] | [INFO] [stdout] 211 | pub fn conv2d_fast( [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `add_skip_connection` is never used [INFO] [stdout] --> src/conv_ops.rs:290:8 [INFO] [stdout] | [INFO] [stdout] 290 | pub fn add_skip_connection(x: &Array4, skip: &Array4) -> Array4 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] warning: unused dependency `ndarray-linalg` [INFO] [stderr] --> Cargo.toml:8:1 [INFO] [stderr] | [INFO] [stderr] 8 | ndarray-linalg = "0.16" [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `cargo::unused_dependencies` is set to `warn` by default [INFO] [stderr] help: consider removing the dependency on `ndarray-linalg` [INFO] [stderr] warning: unused dependency `ndarray-stats` [INFO] [stderr] --> Cargo.toml:9:1 [INFO] [stderr] | [INFO] [stderr] 9 | ndarray-stats = "0.5" [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] help: consider removing the dependency on `ndarray-stats` [INFO] [stderr] warning: unused dependency `tokenizers` [INFO] [stderr] --> Cargo.toml:17:1 [INFO] [stderr] | [INFO] [stderr] 17 | tokenizers = "0.13" [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] help: consider removing the dependency on `tokenizers` [INFO] [stderr] warning: `stable-diffusion-rs` (manifest) generated 3 warnings [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 1m 06s [INFO] running `Command { std: "docker" "inspect" "4986eecd2a587d05fec554df3a9379d9b15089da3cee465825138af2a7a54567", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "4986eecd2a587d05fec554df3a9379d9b15089da3cee465825138af2a7a54567", kill_on_drop: false }` [INFO] [stdout] 4986eecd2a587d05fec554df3a9379d9b15089da3cee465825138af2a7a54567