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Refactor elementwise kernels (#1222)
* Refactor elementwise kernels * Instances fixes * Fix cmake * Fix max pool bwd test * Update two stage gemm split k * Restore elementwise scale for hiptensor backward compatiblity * Fix Acc data type check in conv fwd multiple abd * Disable conv fp64 fwd example * Update grouped conv weight multi d
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@@ -1,5 +1,5 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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@@ -10,7 +10,7 @@
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#include "ck/utility/sequence.hpp"
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#include "ck/utility/tuple.hpp"
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#include "ck/utility/reduction_operator.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_elementwise_impl.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_elementwise_dynamic_vector_dims_impl.hpp"
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#include "batchnorm_common.hpp"
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@@ -54,7 +54,12 @@ int bnorm_infer(
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ck::Tuple<YDataType>, // y
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NormalizeInInfer,
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Rank,
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2, // MPerthread
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64, // BlockSize
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32, // MPerBlock
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32, // NPerBlock
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4, // MPerthread
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4, // NPerthread
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ck::Sequence<1, 0>, // ThreadClusterArrangeOrder
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ck::Sequence<1, 1, 1, 1, 1>, // x, mean, variance, scale, bias
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ck::Sequence<1>>; // scalarPerVector: y
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