[LayerNorm] Fix typo in ln_api.cpp
unintialized -> uninitialized
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@ -132,7 +132,7 @@ std::vector<at::Tensor> dropout_add_ln_fwd(const at::Tensor &x0, // Input:
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TORCH_CHECK(x0.is_contiguous());
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TORCH_CHECK(x0.is_contiguous());
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// c10::IntArrayRef does not own the storage, so we need to construct a vector.
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// c10::IntArrayRef does not own the storage, so we need to construct a vector.
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// Otherwise just constructing IntArrayRef({blah}) will cause unintialized memory because
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// Otherwise just constructing IntArrayRef({blah}) will cause uninitialized memory because
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// blah is then deallocated.
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// blah is then deallocated.
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std::vector<int64_t> sizes_vec {!x0_subset_.has_value() ? x0.size(0) : x0_subset_.value().size(0), x0.size(1)};
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std::vector<int64_t> sizes_vec {!x0_subset_.has_value() ? x0.size(0) : x0_subset_.value().size(0), x0.size(1)};
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auto sizes = c10::IntArrayRef(sizes_vec);
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auto sizes = c10::IntArrayRef(sizes_vec);
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@ -331,7 +331,7 @@ std::vector<at::Tensor> dropout_add_ln_bwd(const at::Tensor &dz, // BxSxhidd
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TORCH_CHECK(hidden_size == cols);
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TORCH_CHECK(hidden_size == cols);
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// c10::IntArrayRef does not own the storage, so we need to construct a vector.
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// c10::IntArrayRef does not own the storage, so we need to construct a vector.
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// Otherwise just constructing IntArrayRef({blah}) will cause unintialized memory because
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// Otherwise just constructing IntArrayRef({blah}) will cause uninitialized memory because
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// blah is then deallocated.
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// blah is then deallocated.
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std::vector<int64_t> x0_sizes_vec {!x0_subset_.has_value() ? rows : x0_numrows, cols};
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std::vector<int64_t> x0_sizes_vec {!x0_subset_.has_value() ? rows : x0_numrows, cols};
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auto x0_sizes = c10::IntArrayRef(x0_sizes_vec);
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auto x0_sizes = c10::IntArrayRef(x0_sizes_vec);
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