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Fix typos found using codespell
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@@ -106,7 +106,7 @@ struct FullReducer<Self, Op, const Eigen::SyclDevice, Vectorizable> {
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/// if the shared memory is less than the GRange, we set shared_mem size to the TotalSize and in this case one kernel would be created for recursion to reduce all to one.
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if (GRange < outTileSize) outTileSize=GRange;
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/// creating the shared memory for calculating reduction.
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/// This one is used to collect all the reduced value of shared memory as we dont have global barrier on GPU. Once it is saved we can
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/// This one is used to collect all the reduced value of shared memory as we don't have global barrier on GPU. Once it is saved we can
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/// recursively apply reduction on it in order to reduce the whole.
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auto temp_global_buffer =cl::sycl::buffer<CoeffReturnType, 1>(cl::sycl::range<1>(GRange));
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typedef typename Eigen::internal::remove_all<decltype(self.xprDims())>::type Dims;
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@@ -150,7 +150,7 @@ struct InnerReducer<Self, Op, const Eigen::SyclDevice> {
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// getting final out buffer at the moment the created buffer is true because there is no need for assign
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/// creating the shared memory for calculating reduction.
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/// This one is used to collect all the reduced value of shared memory as we dont have global barrier on GPU. Once it is saved we can
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/// This one is used to collect all the reduced value of shared memory as we don't have global barrier on GPU. Once it is saved we can
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/// recursively apply reduction on it in order to reduce the whole.
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dev.parallel_for_setup(num_coeffs_to_preserve, tileSize, range, GRange);
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dev.sycl_queue().submit([&](cl::sycl::handler &cgh) {
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