chore: fix some typos in comments (#2121)
Signed-off-by: hardlydearly <799511800@qq.com>
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@ -112,7 +112,7 @@ We also provide a some command line based examples using state of the art models
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<img src="https://github.com/huggingface/candle/raw/main/candle-examples/examples/segment-anything/assets/sam_merged.jpg" width="200">
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- [SegFormer](./candle-examples/examples/segformer/): transformer based semantic segmantation model.
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- [SegFormer](./candle-examples/examples/segformer/): transformer based semantic segmentation model.
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- [Whisper](./candle-examples/examples/whisper/): speech recognition model.
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- [EnCodec](./candle-examples/examples/encodec/): high-quality audio compression
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model using residual vector quantization.
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@ -81,7 +81,7 @@ let mut tp_shape = view.shape().to_vec();
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let size = tp_shape[0];
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if size % world_size != 0 {
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panic!("The dimension is not divisble by `world_size`");
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panic!("The dimension is not divisible by `world_size`");
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}
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let block_size = size / world_size;
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let start = rank * block_size;
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@ -448,9 +448,9 @@ pub fn reduce_stereo_in_place(left: Windows100ms<&mut [Power]>, right: Windows10
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/// Perform gating and averaging for a BS.1770-4 integrated loudness measurement.
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///
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/// The integrated loudness measurement is not just the average power over the
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/// entire signal. BS.1770-4 defines defines two stages of gating that exclude
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/// entire signal. BS.1770-4 defines two stages of gating that exclude
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/// parts of the signal, to ensure that silent parts do not contribute to the
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/// loudness measurment. This function performs that gating, and returns the
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/// loudness measurement. This function performs that gating, and returns the
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/// average power over the windows that were not excluded.
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///
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/// The result of this function is the integrated loudness measurement.
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@ -55,7 +55,7 @@ fn quantized_matmul_neg() -> Result<()> {
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Ok(())
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}
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/// 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
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/// 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
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fn create_ggml_like_vector(offset: f32) -> Vec<f32> {
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const GGML_TEST_SIZE: usize = 32 * 128;
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(0..GGML_TEST_SIZE)
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