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| author | hardlydearly <167623323+hardlydearly@users.noreply.github.com> | 2024-04-28 14:34:32 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-04-28 08:34:32 +0200 |
| commit | c68ed8963fb6fc842f20d84baa07ff97b56aedb4 (patch) | |
| tree | c8cd99fde31a1b6da9db95bfe4f2af24821a3919 | |
| parent | e5c8b88f90763073fc927ee232bda30fcbc05595 (diff) | |
| download | candle-c68ed8963fb6fc842f20d84baa07ff97b56aedb4.tar.gz candle-c68ed8963fb6fc842f20d84baa07ff97b56aedb4.tar.bz2 candle-c68ed8963fb6fc842f20d84baa07ff97b56aedb4.zip | |
chore: fix some typos in comments (#2121)
Signed-off-by: hardlydearly <799511800@qq.com>
| -rw-r--r-- | README.md | 2 | ||||
| -rw-r--r-- | candle-book/src/lib.rs | 2 | ||||
| -rw-r--r-- | candle-examples/src/bs1770.rs | 4 | ||||
| -rw-r--r-- | candle-wasm-tests/tests/quantized_tests.rs | 2 |
4 files changed, 5 insertions, 5 deletions
@@ -112,7 +112,7 @@ We also provide a some command line based examples using state of the art models <img src="https://github.com/huggingface/candle/raw/main/candle-examples/examples/segment-anything/assets/sam_merged.jpg" width="200"> -- [SegFormer](./candle-examples/examples/segformer/): transformer based semantic segmantation model. +- [SegFormer](./candle-examples/examples/segformer/): transformer based semantic segmentation model. - [Whisper](./candle-examples/examples/whisper/): speech recognition model. - [EnCodec](./candle-examples/examples/encodec/): high-quality audio compression model using residual vector quantization. diff --git a/candle-book/src/lib.rs b/candle-book/src/lib.rs index f8ca510d..faffd753 100644 --- a/candle-book/src/lib.rs +++ b/candle-book/src/lib.rs @@ -81,7 +81,7 @@ let mut tp_shape = view.shape().to_vec(); let size = tp_shape[0]; if size % world_size != 0 { - panic!("The dimension is not divisble by `world_size`"); + panic!("The dimension is not divisible by `world_size`"); } let block_size = size / world_size; let start = rank * block_size; diff --git a/candle-examples/src/bs1770.rs b/candle-examples/src/bs1770.rs index e18b77a7..fbda6dfd 100644 --- a/candle-examples/src/bs1770.rs +++ b/candle-examples/src/bs1770.rs @@ -448,9 +448,9 @@ pub fn reduce_stereo_in_place(left: Windows100ms<&mut [Power]>, right: Windows10 /// Perform gating and averaging for a BS.1770-4 integrated loudness measurement. /// /// The integrated loudness measurement is not just the average power over the -/// entire signal. BS.1770-4 defines defines two stages of gating that exclude +/// entire signal. BS.1770-4 defines two stages of gating that exclude /// parts of the signal, to ensure that silent parts do not contribute to the -/// loudness measurment. This function performs that gating, and returns the +/// loudness measurement. This function performs that gating, and returns the /// average power over the windows that were not excluded. /// /// The result of this function is the integrated loudness measurement. diff --git a/candle-wasm-tests/tests/quantized_tests.rs b/candle-wasm-tests/tests/quantized_tests.rs index fc107e61..8705df42 100644 --- a/candle-wasm-tests/tests/quantized_tests.rs +++ b/candle-wasm-tests/tests/quantized_tests.rs @@ -55,7 +55,7 @@ fn quantized_matmul_neg() -> Result<()> { Ok(()) } -/// Creates a vector simillarly to the one used in GGML unit tests: https://github.com/ggerganov/llama.cpp/blob/master/tests/test-quantize-fns.cpp#L26-L30 +/// Creates a vector similarly to the one used in GGML unit tests: https://github.com/ggerganov/llama.cpp/blob/master/tests/test-quantize-fns.cpp#L26-L30 fn create_ggml_like_vector(offset: f32) -> Vec<f32> { const GGML_TEST_SIZE: usize = 32 * 128; (0..GGML_TEST_SIZE) |