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authorHieu Hoang <hihoan@microsoft.com>2021-06-29 07:26:27 +0300
committerHieu Hoang <hihoan@microsoft.com>2021-06-29 07:26:27 +0300
commit7e2fce8f09ce00cebf7ff11dedc8fe9c3e886e7f (patch)
tree7bb2795647d8f9f9836a39e2119714d72e00257b /src
parent24c644bae0312a5b640b2cda43020fd4b74cdb07 (diff)
parent8daa0a42559a9bf3e8bed171423b9e1b08c7e000 (diff)
Merge branch 'hihoan/lsh7' of vs-ssh.visualstudio.com:v3/machinetranslation/Marian/marian-dev into hihoan/lsh7
Diffstat (limited to 'src')
-rwxr-xr-xsrc/tensors/cpu/prod.cpp34
-rwxr-xr-xsrc/tensors/gpu/prod.cpp22
2 files changed, 28 insertions, 28 deletions
diff --git a/src/tensors/cpu/prod.cpp b/src/tensors/cpu/prod.cpp
index 313e6fbd..8fcca924 100755
--- a/src/tensors/cpu/prod.cpp
+++ b/src/tensors/cpu/prod.cpp
@@ -117,28 +117,28 @@ void ProdBatched(marian::Tensor C,
}
cShapeMeta = Shape::broadcast({aShapeMeta, bShapeMeta});
- size_t m = aShape[-2];
- size_t k = aShape[-1];
+ int m = aShape[-2];
+ int k = aShape[-1];
if(transA)
std::swap(m, k);
- size_t l = bShape[-2];
- size_t n = bShape[-1];
+ int l = bShape[-2];
+ int n = bShape[-1];
if(transB)
std::swap(l, n);
- size_t lda = aShape[-1];
- size_t ldb = bShape[-1];
- size_t ldc = bShape[-1];
+ int lda = aShape[-1];
+ int ldb = bShape[-1];
+ int ldc = bShape[-1];
if(transB)
ldc = bShape[-2];
- auto strideA = m * k;
- auto strideB = n * k;
- auto strideC = n * m;
+ int strideA = m * k;
+ int strideB = n * k;
+ int strideC = n * m;
- auto batchC = cShapeMeta.elements();
+ int batchC = cShapeMeta.elements();
// Convert to functional shapes to be able to map dimensions. @TODO merge this
functional::Shape aShapeMetaF = aShapeMeta;
@@ -218,17 +218,17 @@ void ProdBatched(marian::Tensor C,
sgemm(transA,
transB,
- (int)m,
- (int)n,
- (int)k,
+ m,
+ n,
+ k,
alpha,
A->data() + aIndex * strideA,
- (int)lda,
+ lda,
B->data() + bIndex * strideB,
- (int)ldb,
+ ldb,
beta,
C->data() + i * strideC,
- (int)ldc);
+ ldc);
}
#endif
#else
diff --git a/src/tensors/gpu/prod.cpp b/src/tensors/gpu/prod.cpp
index e996f58f..bf0d2395 100755
--- a/src/tensors/gpu/prod.cpp
+++ b/src/tensors/gpu/prod.cpp
@@ -371,19 +371,19 @@ void ProdBatchedTyped(marian::Tensor C,
}
cShapeMeta = Shape::broadcast({aShapeMeta, bShapeMeta});
- size_t m = aShape[-2];
- size_t k = aShape[-1];
+ int m = aShape[-2];
+ int k = aShape[-1];
if(transA)
std::swap(m, k);
- size_t l = bShape[-2];
- size_t n = bShape[-1];
+ int l = bShape[-2];
+ int n = bShape[-1];
if(transB)
std::swap(l, n);
- size_t lda = aShape[-1];
- size_t ldb = bShape[-1];
- size_t ldc = bShape[-1];
+ int lda = aShape[-1];
+ int ldb = bShape[-1];
+ int ldc = bShape[-1];
if(transB)
ldc = bShape[-2];
@@ -395,11 +395,11 @@ void ProdBatchedTyped(marian::Tensor C,
auto cublasHandle = backend->getCublasHandle();
auto compute = backend->getCudaComputeCapability();
- auto strideA = m * k;
- auto strideB = n * k;
- auto strideC = n * m;
+ int strideA = m * k;
+ int strideB = n * k;
+ int strideC = n * m;
- auto batchC = cShapeMeta.elements();
+ int batchC = cShapeMeta.elements();
// Convert to functional shapes to be able to map dimensions. @TODO merge this
functional::Shape aShapeMetaF = aShapeMeta;