Minimalist ML framework for Rust
485 matches across 12 categories. Click a row to expand file-level details.
| Severity | File | Line | Snippet |
|---|---|---|---|
| LOW | candle-transformers/src/utils.rs | 1 | //! Shared utilities: repeat_kv, repeat_penalty, causal mask. |
| LOW | candle-transformers/src/models/starcoder2.rs | 1 | //! StarCoder model implementation with quantization support. |
| LOW | candle-transformers/src/models/quantized_mixformer.rs | 1 | //! Module containing quantized MixFormer model implementation. |
| LOW | candle-transformers/src/models/parler_tts.rs | 1 | //! Parler Model implementation for parler_tts text-to-speech synthesis |
| LOW | candle-transformers/src/models/eva2.rs | 1 | //! EVA-2 inference implementation. |
| LOW | candle-transformers/src/models/quantized_moondream.rs | 1 | //! Implementation of a quantized Moondream vision language model. |
| LOW | candle-transformers/src/models/dinov2.rs | 1 | //! Implementation of the DINOv2 models from Meta Research. |
| LOW | candle-transformers/src/models/dinov2.rs | 21 | //! |
| LOW | candle-transformers/src/models/csm.rs | 1 | //! Implementation of the Conversational Speech Model (CSM) from Sesame |
| LOW | …e-transformers/src/models/quantized_recurrent_gemma.rs | 1 | //! Recurrent Gemma model implementation with quantization support. |
| LOW | candle-transformers/src/models/quantized_phi.rs | 1 | //! Phi2 model implementation with quantization support. |
| LOW | candle-transformers/src/models/mobilenetv4.rs | 1 | //! # MobileNet-v4 |
| LOW | candle-transformers/src/models/rwkv_v7.rs | 1 | //! RWKV v7 "Goose" (x070) model implementation. |
| LOW | candle-transformers/src/models/paligemma.rs | 1 | //! Multimodal multi-purpose model combining Gemma-based language model with SigLIP image understanding |
| LOW | candle-transformers/src/models/t5.rs | 1 | //! T5 model implementation. |
| LOW | candle-transformers/src/models/t5.rs | 21 | //! ```bash |
| LOW | candle-transformers/src/models/t5.rs | 41 | //! --prompt "<2de> How are you, my friend?" \ |
| LOW | candle-transformers/src/models/phi3.rs | 1 | //! Microsoft Phi-3 model implementation |
| LOW | candle-transformers/src/models/bigcode.rs | 1 | //! BigCode implementation in Rust based on the GPT-BigCode model. |
| LOW | candle-transformers/src/models/rwkv_v6.rs | 1 | //! RWKV v6 model implementation. |
| LOW | candle-transformers/src/models/quantized_blip.rs | 1 | //! BLIP model implementation with quantization support. |
| LOW | candle-transformers/src/models/quantized_rwkv_v5.rs | 1 | //! RWKV v5 model implementation with quantization support. |
| LOW | candle-transformers/src/models/vgg.rs | 1 | //! VGG-16 model implementation. |
| LOW | candle-transformers/src/models/recurrent_gemma.rs | 1 | //! Recurrent Gemma model implementation |
| LOW | candle-transformers/src/models/quantized_mpt.rs | 1 | //! Quantized MPT model implementation. |
| LOW | candle-transformers/src/models/stable_lm.rs | 1 | //! StableLM model implementation. |
| LOW | candle-transformers/src/models/quantized_stable_lm.rs | 1 | //! Module for quantized StableLM implementation. |
| LOW | candle-transformers/src/models/mixtral.rs | 1 | //! Mixtral Model, a sparse mixture of expert model based on the Mistral architecture |
| LOW | candle-transformers/src/models/rwkv_v5.rs | 1 | //! RWKV v5 model implementation. |
| LOW | candle-transformers/src/models/rwkv_v5.rs | 21 | //! ```bash |
| LOW | candle-transformers/src/models/olmo.rs | 1 | //! OLMo (Open Language Model) implementation |
| LOW | candle-transformers/src/models/qwen2.rs | 1 | //! Qwen2 model implementation with quantization support. |
| LOW | candle-transformers/src/models/mod.rs | 1 | //! Candle implementations for various deep learning models |
| LOW | candle-transformers/src/models/dinov2reg4.rs | 1 | //! Implementation of the DINOv2 revision (4 regularization) |
| LOW | candle-transformers/src/models/dinov2reg4.rs | 21 | //! |
| LOW | candle-transformers/src/models/quantized_rwkv_v6.rs | 1 | //! RWKV v6 model implementation with quantization support. |
| LOW | candle-transformers/src/models/phi.rs | 1 | //! Microsoft Phi model implementation |
| LOW | candle-transformers/src/models/convnext.rs | 1 | //! ConvNeXt implementation. |
| LOW | candle-transformers/src/models/segformer.rs | 1 | //! Segformer model implementation for semantic segmentation and image classification. |
| LOW | candle-transformers/src/models/quantized_gemma3.rs | 1 | //! Gemma 3 model implementation with quantization support. |
| LOW | candle-transformers/src/models/qwen2_moe.rs | 1 | //! Qwen2 model implementation with Mixture of Experts support. |
| LOW | candle-transformers/src/models/quantized_qwen2.rs | 1 | //! Qwen2 model implementation with quantization support. |
| LOW | candle-transformers/src/models/quantized_t5.rs | 1 | //! T5 model implementation with quantization support. |
| LOW | candle-transformers/src/models/quantized_blip_text.rs | 1 | //! Quantized BLIP text module implementation. |
| LOW | candle-transformers/src/models/quantized_mistral.rs | 1 | //! Mistral model implementation with quantization support. |
| LOW | candle-transformers/src/models/bert.rs | 1 | //! BERT (Bidirectional Encoder Representations from Transformers) |
| LOW | candle-transformers/src/models/efficientvit.rs | 1 | //! EfficientViT (MSRA) inference implementation based on timm. |
| LOW | candle-transformers/src/models/efficientvit.rs | 21 | //! --example efficientvit \ |
| LOW | candle-transformers/src/models/quantized_llama2_c.rs | 1 | //! Quantized Llama2 model implementation. |
| LOW | candle-transformers/src/models/mobileclip.rs | 1 | //! Mobile CLIP model, combining a lightweight vision encoder with a text encoder |
| LOW | candle-transformers/src/models/quantized_llama.rs | 1 | //! Quantized llama model implementation. |
| LOW | candle-transformers/src/models/quantized_llama.rs | 521 | span, |
| LOW | candle-transformers/src/models/quantized_llama.rs | 621 | |
| LOW | candle-transformers/src/models/trocr.rs | 1 | //! TrOCR model implementation. |
| LOW | candle-transformers/src/models/nomic_bert.rs | 1 | //! # NomicBERT |
| LOW | candle-transformers/src/models/mpt.rs | 1 | //! Module implementing the MPT (Multi-Purpose Transformer) model |
| LOW | candle-transformers/src/models/yi.rs | 1 | //! Yi model implementation. |
| LOW | candle-transformers/src/models/quantized_metavoice.rs | 1 | //! Quantized MetaVoice model implementation. |
| LOW | candle-transformers/src/models/stella_en_v5.rs | 1 | //! Stella v5 model implementation. |
| LOW | candle-transformers/src/models/stella_en_v5.rs | 501 | // state = other_layernorm(xs) |
| 256 more matches not shown… | |||
| Severity | File | Line | Snippet |
|---|---|---|---|
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 23 | // ─── Config ────────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 77 | // ─── State ─────────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 155 | // ─── Tokenizer ─────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 159 | // ─── Helpers ───────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 191 | // ─── TimeMix (Attention) ───────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 458 | // ─── ChannelMix (FFN) ──────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 549 | // ─── DeaAttention (v7b only) ───────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 724 | // ─── Block ─────────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 831 | // ─── Model ─────────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/quantized_llama.rs | 604 | // ── Mask shape tests ────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/quantized_llama.rs | 622 | // ── Mask value tests ────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/quantized_llama.rs | 672 | // ── Mask broadcast compatibility test ───────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 5 | // ── Text config defaults ──────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 50 | // ── Rope parameters ───────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 68 | // ── Gemma4TextConfig ──────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 147 | // ── Vision config defaults ────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 189 | // ── Gemma4VisionConfig ────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 236 | // ── Audio config defaults ─────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 302 | // ── Gemma4AudioConfig ─────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 374 | // ── Top-level config defaults ─────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/config.rs | 386 | // ── Gemma4Config ──────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 11 | // ── RmsNorm (Gemma-style) ─────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 52 | // ── 2D Vision Rotary Embedding ────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 114 | // ── PatchEmbedder ─────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 185 | // ── VisionAttention ───────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 275 | // ── VisionMlp ─────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 310 | // ── VisionEncoderLayer ────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 368 | // ── VisionPooler ──────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/vision.rs | 437 | // ── VisionTower (public) ──────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/mod.rs | 95 | // ── Vision embedding injection ────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/mod.rs | 118 | // ── Audio embedding injection ─────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 11 | // ── RmsNorm (standard, no +1 offset for audio) ───────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 41 | // ── LayerNorm (for SSCP conv blocks) ──────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 67 | // ── SSCP Conv Blocks ──────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 170 | // ── SubSampleConvProjection ───────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 225 | // ── Relative Position Embedding ───────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 367 | // ── Conformer Attention ───────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 645 | // ── Conformer FeedForward ─────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 699 | // ── Conformer LightConv1d ─────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 772 | // ── ConformerBlock ────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/audio.rs | 808 | // ── AudioModel (public) ───────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 12 | // ── RmsNorm (Gemma-style with +1 offset) ──────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 53 | // ── RotaryEmbedding (standard, for sliding layers) ────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 100 | // ── ProportionalRotaryEmbedding (for global/full layers) ──────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 153 | // ── MLP ───────────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 192 | // ── Flash attention ───────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 210 | // ── KvCache ───────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 218 | // ── Attention ─────────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 386 | // ── DecoderLayer ──────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 477 | // ── Causal mask ───────────────────────────────────────────────────────────── |
| MEDIUM | candle-transformers/src/models/gemma4/text.rs | 515 | // ── TextModel ─────────────────────────────────────────────────────────────── |
| Severity | File | Line | Snippet |
|---|---|---|---|
| LOW | candle-wasm-examples/quant-qwen3/serve.py | 85 | def find_or_download_tokenizer(): |
| LOW | candle-pyo3/stub.py | 127 | def process_additional_function(fn): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 8 | def test_tensor_can_be_constructed(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 13 | def test_tensor_can_be_constructed_from_list(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 18 | def test_tensor_can_be_constructed_from_list_of_lists(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 23 | def test_tensor_can_be_quantized(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 43 | def test_tensor_can_be_indexed(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 51 | def test_tensor_can_be_sliced(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 87 | def test_tensor_supports_equality_operations_with_scalars(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 109 | def test_tensor_supports_equality_operations_with_tensors(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 133 | def test_tensor_equality_operations_can_broadcast(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 145 | def test_tensor_can_be_hashed(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 153 | def test_tensor_can_be_expanded_with_none(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 168 | def test_tensor_can_be_index_via_tensor(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 179 | def test_tensor_can_be_index_via_list(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 190 | def test_tensor_can_be_cast_via_to(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 212 | def test_tensor_can_be_moved_via_to(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 234 | def test_tensor_can_be_moved_and_cast_via_to(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 272 | def test_tensor_can_be_subtracted(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 290 | def test_tensor_can_be_multiplied(): |
| LOW | candle-pyo3/tests/native/test_tensor.py | 308 | def test_tensor_can_be_divided(): |
| LOW | candle-pyo3/tests/native/test_utils.py | 10 | def test_can_roundtrip_safetensors(): |
| LOW | candle-pyo3/tests/native/test_shape.py | 6 | def test_absolute_shapes_are_valid(): |
| LOW | candle-pyo3/tests/native/test_shape.py | 17 | def test_relative_shapes_are_valid(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 9 | def test_module_can_be_constructed(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 18 | def test_module_registers_tensors(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 30 | def test_module_registers_submodules(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 45 | def test_module_can_dump_statedict(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 61 | def test_module_can_load_statedict(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 77 | def test_module_throws_on_shape_mismatch(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 92 | def test_module_throws_on_missing_key(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 108 | def test_module_can_load_quantized_tensors(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 124 | def test_module_dequantizes_tensors_automatically(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 139 | def test_module_can_be_moved_to_cuda(): |
| LOW | candle-pyo3/tests/bindings/test_module.py | 151 | def test_module_can_be_moved_from_cuda_to_cpu(): |
| LOW | candle-pyo3/tests/bindings/test_linear.py | 6 | def test_linear_layer_can_be_constructed(): |
| LOW | candle-pyo3/tests/bindings/test_linear.py | 11 | def test_linear_layer_can_forward_a_singular_input(): |
| LOW | candle-pyo3/tests/bindings/test_linear.py | 18 | def test_linear_layer_can_forward_a_batched_input(): |
| LOW | candle-pyo3/tests/bindings/test_linear.py | 25 | def test_quantized_linear_layer_can_forward_a_singular_input(): |
| LOW | candle-pyo3/tests/bindings/test_linear.py | 33 | def test_quantized_linear_layer_can_forward_a_batched_input(): |
| LOW | candle-pyo3/tests/bindings/test_testing.py | 8 | def test_assert_equal_asserts_correctly(dtype: candle.DType): |
| LOW | candle-pyo3/tests/bindings/test_testing.py | 18 | def test_assert_almost_equal_asserts_correctly(dtype: candle.DType): |
| Severity | File | Line | Snippet |
|---|---|---|---|
| LOW | candle-transformers/src/models/z_image/transformer.rs | 766 | // Step 1: Squeeze F dimension: (B, C, 1, H, W) -> (B, C, H, W) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 769 | // Step 2: Reshape H into (H_tokens, pH): (B, C, H, W) -> (B, C, H_t, pH, W) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 772 | // Step 3: Reshape W into (W_tokens, pW): (B, C, H_t, pH, W) -> (B, C, H_t, pH, W_t, pW) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 775 | // Step 4: Permute to match Python: (C, H_t, pH, W_t, pW) -> (H_t, W_t, pH, pW, C) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 780 | // Step 5: Reshape to patches: (B, H_t, W_t, pH, pW, C) -> (B, H_t*W_t, pH*pW*C) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 823 | // Step 1: Reshape to (B, H_t, W_t, pH, pW, C) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 826 | // Step 2: Permute to match Python: (H_t, W_t, pH, pW, C) -> (C, H_t, pH, W_t, pW) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 831 | // Step 3: Reshape to combine H and W: (B, C, H_t, pH, W_t, pW) -> (B, C, H, W) |
| LOW | candle-transformers/src/models/z_image/transformer.rs | 834 | // Step 4: Add back F dimension: (B, C, H, W) -> (B, C, 1, H, W) |
| LOW | candle-transformers/src/models/paddleocr_vl/mod.rs | 915 | // Step 1: Get text embeddings |
| LOW | candle-transformers/src/models/paddleocr_vl/mod.rs | 923 | // Step 2: Encode images |
| LOW | candle-transformers/src/models/paddleocr_vl/mod.rs | 934 | // Step 3: Merge vision embeddings into text embeddings |
| LOW | candle-transformers/src/models/paddleocr_vl/mod.rs | 956 | // Step 4: Compute M-RoPE position IDs |
| LOW | candle-transformers/src/models/paddleocr_vl/mod.rs | 979 | // Step 5: Forward through text model with export |
| LOW | candle-transformers/src/models/paddleocr_vl/mod.rs | 1014 | // Step 0: Prefill with image |
| LOW | candle-core/tests/pth.py | 20 | # Step 1: Create a 3D NumPy array with Fortran order using a range of numbers |
| LOW | candle-core/tests/pth.py | 28 | # Step 2: Convert the NumPy array to a PyTorch tensor |
| LOW | candle-core/tests/pth.py | 34 | # Step 3: Save the PyTorch tensor to a .pth file |
| Severity | File | Line | Snippet |
|---|---|---|---|
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| HIGH | candle-pyo3/_additional_typing/__init__.py | 0 | compare a tensor with a scalar or one tensor with another. |
| Severity | File | Line | Snippet |
|---|---|---|---|
| LOW | candle-wasm-examples/quant-qwen3/serve.py | 10 | |
| LOW | candle-pyo3/e5.py | 8 | |
| LOW | candle-pyo3/py_src/candle/__init__.py | 4 | |
| LOW | candle-pyo3/py_src/candle/__init__.py | 49 | |
| LOW | candle-pyo3/py_src/candle/nn/linear.py | 1 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 1 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 2 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 2 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 2 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 3 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 4 | |
| LOW | candle-pyo3/py_src/candle/nn/__init__.py | 5 | |
| LOW | candle-pyo3/py_src/candle/nn/container.py | 3 | |
| LOW | candle-pyo3/py_src/candle/nn/sparse.py | 2 | |
| LOW | candle-pyo3/py_src/candle/nn/sparse.py | 2 | |
| LOW | candle-pyo3/py_src/candle/nn/sparse.py | 2 | |
| LOW | candle-pyo3/py_src/candle/nn/normalization.py | 4 | |
| LOW | candle-pyo3/py_src/candle/nn/normalization.py | 4 | |
| LOW | candle-pyo3/py_src/candle/models/llama.py | 3 | |
| LOW | candle-pyo3/tests/native/test_utils.py | 2 | |
| LOW | candle-pyo3/tests/native/test_utils.py | 2 | |
| LOW | candle-pyo3/tests/native/test_shape.py | 1 | |
| LOW | candle-pyo3/tests/bindings/test_linear.py | 2 | |
| LOW | candle-examples/examples/flux/t5_tokenizer.py | 1 | |
| LOW | candle-examples/examples/resnet/export_models.py | 2 | |
| LOW | candle-examples/examples/resnet/export_models.py | 3 |
| Severity | File | Line | Snippet |
|---|---|---|---|
| MEDIUM | candle-wasm-examples/quant-qwen3/serve.py | 12 | print("Error: Required packages not installed", file=sys.stderr) |
| LOW | candle-wasm-examples/quant-qwen3/serve.py | 50 | except Exception as e: |
| MEDIUM | candle-wasm-examples/quant-qwen3/serve.py | 51 | print(f"Error downloading {filename}: {e}", file=sys.stderr) |
| MEDIUM | candle-wasm-examples/quant-qwen3/serve.py | 60 | print(f"Error: Custom path does not exist: {custom_path}", file=sys.stderr) |
| LOW | candle-wasm-examples/quant-qwen3/serve.py | 142 | except Exception as e: |
| MEDIUM | candle-wasm-examples/quant-qwen3/serve.py | 133 | def send_file(self, filepath, content_type): |
| LOW | candle-pyo3/py_src/candle/nn/module.py | 462 | except Exception as ex: |
| LOW | …es/examples/marian-mt/python/convert_slow_tokenizer.py | 43 | except Exception: |
| Severity | File | Line | Snippet |
|---|---|---|---|
| MEDIUM | candle-transformers/src/models/rwkv_v7.rs | 66 | /// This is more robust than computing from a formula, as different |
| MEDIUM | candle-transformers/src/models/rwkv_v5.rs | 72 | // Certainly a weird convention but taken from modeling_rwkv5.py |
| MEDIUM | candle-transformers/src/models/segment_anything/mod.rs | 4 | //! in an image based on prompts like points or boxes. //! This model provides a robust and fast image segmentation pipe |
| MEDIUM | candle-nn/src/loss.rs | 78 | /// A robust loss function that combines `MAE` and `MSE` losses: |
| Severity | File | Line | Snippet |
|---|---|---|---|
| MEDIUM | candle-pyo3/tests/native/test_tensor.py | 134 | # Create a decoder attention mask as a test case |
| MEDIUM | candle-core/tests/pth.py | 17 | # Create a tensor with fortran contiguous memory layout |
| MEDIUM | …ples/examples/reinforcement-learning/atari_wrappers.py | 303 | # Create the environment. |
| Severity | File | Line | Snippet |
|---|---|---|---|
| LOW | candle-pyo3/stub.py | 87 | |
| LOW | candle-pyo3/py_src/candle/nn/container.py | 136 | |
| LOW | candle-pyo3/py_src/candle/nn/container.py | 153 | |
| LOW | candle-pyo3/py_src/candle/nn/module.py | 97 | |
| LOW | candle-pyo3/py_src/candle/nn/module.py | 391 | |
| LOW | candle-pyo3/py_src/candle/nn/module.py | 592 | |
| LOW | candle-pyo3/py_src/candle/nn/module.py | 659 | |
| LOW | …ples/examples/reinforcement-learning/atari_wrappers.py | 232 |
| Severity | File | Line | Snippet |
|---|---|---|---|
| HIGH | candle-examples/examples/quantized-lfm2/main.rs | 41 | /// GGUF file to load, typically a .gguf file generated by llama.cpp. |
| Severity | File | Line | Snippet |
|---|---|---|---|
| LOW | candle-pyo3/stub.py | 37 | # Check if we have a return type annotation in the docstring |