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体验新版 GitCode,发现更多精彩内容 >>
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bf08e5d9
编写于
8月 07, 2017
作者:
D
dangqingqing
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73192bb1
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2 changed file
with
13 addition
and
15 deletion
+13
-15
paddle/cuda/include/hl_batch_norm.h
paddle/cuda/include/hl_batch_norm.h
+11
-13
paddle/gserver/layers/CudnnBatchNormLayer.cpp
paddle/gserver/layers/CudnnBatchNormLayer.cpp
+2
-2
未找到文件。
paddle/cuda/include/hl_batch_norm.h
浏览文件 @
bf08e5d9
...
...
@@ -20,20 +20,18 @@ limitations under the License. */
/**
* @brief batch norm inferece.
*
* @param[in] input input data.
* @param[out] output output data.
* @param[in] scale batch normalization scale parameter (in original
* paper scale is referred to as gamma).
* @param[in] bias batch normalization bias parameter (in original
* paper scale is referred to as beta).
* @param[in] input
input data.
* @param[out] output
output data.
* @param[in] scale
batch normalization scale parameter (in original
*
paper scale is referred to as gamma).
* @param[in] bias
batch normalization bias parameter (in original
*
paper scale is referred to as beta).
* @param[in] estimatedMean
* @param[in] estimatedVar It is suggested that resultRunningMean,
* resultRunningVariance from the
* cudnnBatchNormalizationForwardTraining call
* accumulated during the training phase are passed
* as inputs here.
* @param[in] epsilon Epsilon value used in the batch
* normalization formula.
* @param[in] estimatedVar The moving mean and variance
* accumulated during the training phase are passed
* as inputs here.
* @param[in] epsilon Epsilon value used in the batch
* normalization formula.
*/
extern
void
hl_batch_norm_cuda_inference
(
const
real
*
input
,
real
*
output
,
...
...
paddle/gserver/layers/CudnnBatchNormLayer.cpp
浏览文件 @
bf08e5d9
...
...
@@ -81,8 +81,8 @@ void CudnnBatchNormLayer::forward(PassType passType) {
}
else
{
// used movingMean and movingVar in testing
if
(
batchSize
>
1024
)
{
//
when batchSize is larger than 1024, there is a bug
// i
n cudnn library
.
//
there is a bug in cudnn library when the batch size
// i
s larger than 1024
.
hl_batch_norm_cuda_inference
(
input
,
output
,
gamma
,
...
...
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