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authorNatalia Gimelshein <ngimelshein@nvidia.com>2016-04-23 03:54:34 +0300
committerBoris Fomitchev <bfomitchev@nvidia.com>2016-05-17 01:12:28 +0300
commit17be1b758a2dc8986c3f76f5092467f191fcfc64 (patch)
tree8e45d3b61a50cc028897c7cbaeb012b2a13c1777 /ffi.lua
parent8869d166a00769669d5bb1c981c7c02f03388804 (diff)
fix for V5 GA RNN APIs
Diffstat (limited to 'ffi.lua')
-rw-r--r--ffi.lua206
1 files changed, 107 insertions, 99 deletions
diff --git a/ffi.lua b/ffi.lua
index ce15950..7b07124 100644
--- a/ffi.lua
+++ b/ffi.lua
@@ -1241,146 +1241,154 @@ cudnnStatus_t cudnnCreateRNNDescriptor(cudnnRNNDescriptor_t * rnnDes
cudnnStatus_t cudnnDestroyRNNDescriptor(cudnnRNNDescriptor_t rnnDesc);
cudnnStatus_t cudnnSetRNNDescriptor(cudnnRNNDescriptor_t rnnDesc,
- int hiddenSize,
- int seqLength,
- int numLayers,
- cudnnDropoutDescriptor_t dropoutDesc, /* Between layers, not between recurrent steps.*/
- cudnnRNNInputMode_t inputMode,
- cudnnDirectionMode_t direction,
- cudnnRNNMode_t mode,
+ int hiddenSize,
+ int numLayers,
+ cudnnDropoutDescriptor_t dropoutDesc,
+ cudnnRNNInputMode_t inputMode,
+ cudnnDirectionMode_t direction,
+ cudnnRNNMode_t mode,
cudnnDataType_t dataType);
-/* dataType in the RNN descriptor is used to determine math precision*/
-/* dataType in weight descriptors and input descriptors is used to describe storage*/
+// dataType in the RNN descriptor is used to determine math precision
+// dataType in weight descriptors and input descriptors is used to describe storage
cudnnStatus_t cudnnGetRNNWorkspaceSize( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
+ const cudnnRNNDescriptor_t rnnDesc,
+ const int seqLength,
const cudnnTensorDescriptor_t *xDesc,
size_t *sizeInBytes
);
-
+
cudnnStatus_t cudnnGetRNNTrainingReserveSize( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
+ const cudnnRNNDescriptor_t rnnDesc,
+ const int seqLength,
const cudnnTensorDescriptor_t *xDesc,
size_t *sizeInBytes
);
-
+
cudnnStatus_t cudnnGetRNNParamsSize( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
- const cudnnTensorDescriptor_t *xDesc,
- size_t *sizeInBytes
+ const cudnnRNNDescriptor_t rnnDesc,
+ const cudnnTensorDescriptor_t xDesc,
+ size_t *sizeInBytes,
+ cudnnDataType_t dataType
);
cudnnStatus_t cudnnGetRNNLinLayerMatrixParams( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
+ const cudnnRNNDescriptor_t rnnDesc,
const int layer,
- const cudnnTensorDescriptor_t * xDesc,
- const cudnnFilterDescriptor_t wDesc,
- const void * w,
- const int linLayerID,
- cudnnFilterDescriptor_t linLayerMatDesc,
+ const cudnnTensorDescriptor_t xDesc,
+ const cudnnFilterDescriptor_t wDesc,
+ const void * w,
+ const int linLayerID,
+ cudnnFilterDescriptor_t linLayerMatDesc,
void ** linLayerMat
);
cudnnStatus_t cudnnGetRNNLinLayerBiasParams( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
+ const cudnnRNNDescriptor_t rnnDesc,
const int layer,
- const cudnnTensorDescriptor_t * xDesc,
- const cudnnFilterDescriptor_t wDesc,
- const void * w,
- const int linLayerID,
- cudnnFilterDescriptor_t linLayerBiasDesc,
- void ** linLayerBias
+ const cudnnTensorDescriptor_t xDesc,
+ const cudnnFilterDescriptor_t wDesc,
+ const void * w,
+ const int linLayerID,
+ cudnnFilterDescriptor_t linLayerBiasDesc,
+ void ** linLayerBias
);
-cudnnStatus_t cudnnRNNForwardInference( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
- const cudnnTensorDescriptor_t * xDesc,
- const void * x,
- const cudnnTensorDescriptor_t hxDesc,
- const void * hx,
- const cudnnTensorDescriptor_t cxDesc,
- const void * cx,
- const cudnnFilterDescriptor_t wDesc,
- const void * w,
- const cudnnTensorDescriptor_t *yDesc,
- void * y,
- const cudnnTensorDescriptor_t hyDesc,
- void * hy,
- const cudnnTensorDescriptor_t cyDesc,
- void * cy,
- void * workspace,
- size_t workSpaceSizeInBytes);
-
-
-
-cudnnStatus_t cudnnRNNForwardTraining( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
- const cudnnTensorDescriptor_t *xDesc,
- const void * x,
- const cudnnTensorDescriptor_t hxDesc,
- const void * hx,
- const cudnnTensorDescriptor_t cxDesc,
- const void * cx,
- const cudnnFilterDescriptor_t wDesc,
- const void * w,
- const cudnnTensorDescriptor_t *yDesc,
- void * y,
- const cudnnTensorDescriptor_t hyDesc,
- void * hy,
- const cudnnTensorDescriptor_t cyDesc,
- void * cy,
- void * workspace,
+cudnnStatus_t cudnnRNNForwardInference( cudnnHandle_t handle,
+ const cudnnRNNDescriptor_t rnnDesc,
+ const int seqLength,
+ const cudnnTensorDescriptor_t * xDesc,
+ const void * x,
+ const cudnnTensorDescriptor_t hxDesc,
+ const void * hx,
+ const cudnnTensorDescriptor_t cxDesc,
+ const void * cx,
+ const cudnnFilterDescriptor_t wDesc,
+ const void * w,
+ const cudnnTensorDescriptor_t *yDesc,
+ void * y,
+ const cudnnTensorDescriptor_t hyDesc,
+ void * hy,
+ const cudnnTensorDescriptor_t cyDesc,
+ void * cy,
+ void * workspace,
+ size_t workSpaceSizeInBytes);
+
+
+
+cudnnStatus_t cudnnRNNForwardTraining( cudnnHandle_t handle,
+ const cudnnRNNDescriptor_t rnnDesc,
+ const int seqLength,
+ const cudnnTensorDescriptor_t *xDesc,
+ const void * x,
+ const cudnnTensorDescriptor_t hxDesc,
+ const void * hx,
+ const cudnnTensorDescriptor_t cxDesc,
+ const void * cx,
+ const cudnnFilterDescriptor_t wDesc,
+ const void * w,
+ const cudnnTensorDescriptor_t *yDesc,
+ void * y,
+ const cudnnTensorDescriptor_t hyDesc,
+ void * hy,
+ const cudnnTensorDescriptor_t cyDesc,
+ void * cy,
+ void * workspace,
size_t workSpaceSizeInBytes,
- void * reserveSpace,
+ void * reserveSpace,
size_t reserveSpaceSizeInBytes);
-cudnnStatus_t cudnnRNNBackwardData( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
- const cudnnTensorDescriptor_t * yDesc,
- const void * y,
- const cudnnTensorDescriptor_t * dyDesc,
- const void * dy,
- const cudnnTensorDescriptor_t dhyDesc,
- const void * dhy,
- const cudnnTensorDescriptor_t dcyDesc,
- const void * dcy,
- const cudnnFilterDescriptor_t wDesc,
- const void * w,
- const cudnnTensorDescriptor_t hxDesc,
- const void * hx,
- const cudnnTensorDescriptor_t cxDesc,
- const void * cx,
- const cudnnTensorDescriptor_t * dxDesc,
- void * dx,
+cudnnStatus_t cudnnRNNBackwardData( cudnnHandle_t handle,
+ const cudnnRNNDescriptor_t rnnDesc,
+ const int seqLength,
+ const cudnnTensorDescriptor_t * yDesc,
+ const void * y,
+ const cudnnTensorDescriptor_t * dyDesc,
+ const void * dy,
+ const cudnnTensorDescriptor_t dhyDesc,
+ const void * dhy,
+ const cudnnTensorDescriptor_t dcyDesc,
+ const void * dcy,
+ const cudnnFilterDescriptor_t wDesc,
+ const void * w,
+ const cudnnTensorDescriptor_t hxDesc,
+ const void * hx,
+ const cudnnTensorDescriptor_t cxDesc,
+ const void * cx,
+ const cudnnTensorDescriptor_t * dxDesc,
+ void * dx,
const cudnnTensorDescriptor_t dhxDesc,
void * dhx,
const cudnnTensorDescriptor_t dcxDesc,
void * dcx,
void * workspace,
size_t workSpaceSizeInBytes,
- const void * reserveSpace,
+ const void * reserveSpace,
size_t reserveSpaceSizeInBytes );
-cudnnStatus_t cudnnRNNBackwardWeights( cudnnHandle_t handle,
- const cudnnRNNDescriptor_t rnnDesc,
- const cudnnTensorDescriptor_t * xDesc,
- const void * x,
- const cudnnTensorDescriptor_t hxDesc,
- const void * hx,
- const cudnnTensorDescriptor_t * yDesc,
+cudnnStatus_t cudnnRNNBackwardWeights( cudnnHandle_t handle,
+ const cudnnRNNDescriptor_t rnnDesc,
+ const int seqLength,
+ const cudnnTensorDescriptor_t * xDesc,
+ const void * x,
+ const cudnnTensorDescriptor_t hxDesc,
+ const void * hx,
+ const cudnnTensorDescriptor_t * yDesc,
const void * y,
- const void * workspace,
- size_t workSpaceSizeInBytes,
- const cudnnFilterDescriptor_t dwDesc,
+ const void * workspace,
+ size_t workSpaceSizeInBytes,
+ const cudnnFilterDescriptor_t dwDesc,
void * dw,
- const void * reserveSpace,
+ const void * reserveSpace,
size_t reserveSpaceSizeInBytes );
-
+
+
+
/* DEPRECATED routines to be removed next release :