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adds single cuda kernel for reduce_all_array adds cpu reduce_all adds opencl reduce_all functions, kernel: todo remove old versions of reduce_all update missing reduction functions adds missing reduce tests, other reduce functions update test precision, fix kernel shared ptrs fixes failing tests, clang format, fix init assignment update api, minor unified error handling
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umar456
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umar456
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Very happy to see this committed - thanks for the work @syurkevi! |
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This PR adds af::array as a return type to the reduction functions. ( reduceaf::array(arr); )
Description
Previously, the reduce all functions would return a scalar value. The return of an af::array type was missing. Furthermore, the return of a scalar causes a mandatory synchronization at the function call.
Is this a new feature or a bug fix?
New feature
More detail if necessary to describe all commits in pull request.
Partial commits contain separate API changes, kernels for each backend, and tests as described in each commit message. Will be squashed before merging.
Why these changes are necessary.
To improve performance by avoiding unnecessary synchronization at each reduce<>() call.
Potential impact on specific hardware, software or backends.
New functions and their functionality.
Adds af_sum_array, af_sum_nan_array, af_product_array, af_product_nan_array, af_min_array, af_max_array, af_count_array, af_all_true_array, af_any_true_array, and the corresponding C++ versions such as af::maxaf::array(arr);
Can this PR be backported to older versions?
No, breaks API
Changes to Users
Existing code should be compatible. Users can now specify af::array as a template argument for reduction functions.
Checklist