fix windows build error.

microsoft · Mar 24, 2020 · e2047c1 · e2047c1
1 parent f953bf9
commit e2047c1
Show file tree

Hide file tree

Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/onnxruntime/core/providers/cuda/tensor/pad.cc b/onnxruntime/core/providers/cuda/tensor/pad.cc
@@ -130,7 +130,7 @@ Status Pad<T>::ComputeInternal(OpKernelContext* ctx) const {
   TArray<fast_divmod> fdm_output_strides(dimension_count);
   TensorPitches output_strides(output_dims);
   for (auto i = 0; i < dimension_count; i++) {
-    fdm_output_strides[i] = fast_divmod(output_strides[i]);
+    fdm_output_strides[i] = fast_divmod(static_cast<int>(output_strides[i]));
   }
 
   PadImpl(

diff --git a/onnxruntime/core/providers/cuda/tensor/scatter_elements.cc b/onnxruntime/core/providers/cuda/tensor/scatter_elements.cc
@@ -128,7 +128,7 @@ Status ScatterElements::ComputeInternal(OpKernelContext* context) const {
   TArray<fast_divmod> fdm_indices_strides(rank);
   TensorPitches indices_strides(indices_dims);
   for (auto i = 0; i < rank; i++) {
-    fdm_indices_strides[i] = fast_divmod(indices_strides[i]);
+    fdm_indices_strides[i] = fast_divmod(static_cast<int>(indices_strides[i]));
   }
 
   MLDataType Tin_type = indices_tensor->DataType();

diff --git a/onnxruntime/core/providers/cuda/tensor/tile.cc b/onnxruntime/core/providers/cuda/tensor/tile.cc
@@ -55,7 +55,7 @@ Status Tile<T>::ComputeInternal(OpKernelContext* ctx) const {
   TArray<fast_divmod> fdm_output_strides(rank);
   TensorPitches output_pitches(output_dims);
   for (auto i = 0; i < rank; i++) {
-    fdm_output_strides[i] = fast_divmod(output_pitches[i]);
+    fdm_output_strides[i] = fast_divmod(static_cast<int>(output_pitches[i]));
   }
 
   if (output_tensor.Shape().Size() > 0) {

diff --git a/onnxruntime/core/providers/cuda/tensor/upsample.cc b/onnxruntime/core/providers/cuda/tensor/upsample.cc
@@ -37,7 +37,7 @@ Status Upsample<T>::BaseCompute(OpKernelContext* context,
                                 const std::vector<int64_t>& output_dims) const {
   const Tensor* X = context->Input<Tensor>(0);
   const std::vector<int64_t>& X_dims = X->Shape().GetDims();
-  auto rank = X_dims.size();
+  int32_t rank = static_cast<int32_t>(X_dims.size());
 
   ORT_ENFORCE(output_dims.size() == rank, "Rank of input and output tensor should be same.");
   if (rank == 0)