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Refine layernorm naming and test code (#497)

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* Sync the naming

* Sync the test of layernorm with groupnorm

* Sync the naming

* Minor change for comment and log

* [What] Add saveMean and SaveInvVariance in the interface.
[Why] These can optimize the backward
This commit is contained in:
rocking5566
2022-11-03 06:57:28 +08:00
committed by GitHub
parent 451f1e3d65
commit d4d1147f0a
15 changed files with 207 additions and 311 deletions
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4
include/ck/tensor_operation/gpu/grid/gridwise_layernorm_naive_variance.hpp → include/ck/tensor_operation/gpu/grid/gridwise_normalization_naive_variance.hpp
View File

@@ -14,7 +14,7 @@
namespace ck {
// Y = LayerNorm(X, Beta, Gamma)
// Y = Normalization(X, Beta, Gamma)
template <typename XDataType,
typename GammaDataType,
typename BetaDataType,
@@ -36,7 +36,7 @@ template <typename XDataType,
index_t YDstVectorDim,
index_t YDstVectorSize,
bool SweepOnce>
struct GridwiseLayernormNaiveVariance_mk_to_mk
struct GridwiseNormalizationNaiveVariance_mk_to_mk
{
static_assert((XSrcVectorDim == 0 && MThreadSliceSize % XSrcVectorSize == 0) ||
(XSrcVectorDim == 1 && KThreadSliceSize % XSrcVectorSize == 0),

4
include/ck/tensor_operation/gpu/grid/gridwise_layernorm_welford_variance.hpp → include/ck/tensor_operation/gpu/grid/gridwise_normalization_welford_variance.hpp
View File

@@ -11,7 +11,7 @@
namespace ck {
// Y = LayerNorm(X, Beta, Gamma)
// Y = Normalization(X, Beta, Gamma)
template <typename XDataType,
typename GammaDataType,
typename BetaDataType,
@@ -33,7 +33,7 @@ template <typename XDataType,
index_t YDstVectorDim,
index_t YDstVectorSize,
bool SweepOnce>
struct GridwiseLayernormWelfordVariance_mk_to_mk
struct GridwiseNormalizationWelfordVariance_mk_to_mk
{
static_assert((XSrcVectorDim == 0 && MThreadSliceSize % XSrcVectorSize == 0) ||
(XSrcVectorDim == 1 && KThreadSliceSize % XSrcVectorSize == 0),