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Merged
wanghan-iapcm merged 2 commits into from
Sep 4, 2023
+33 −10
Merged

check status of allocate_temp #2782

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26e56ab
check status of allocate_temp
njzjz Sep 4, 2023
3d691ff
fix compile error
njzjz Sep 4, 2023
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43 changes: 33 additions & 10 deletions source/op/prod_env_mat_multi_device.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -1501,8 +1501,11 @@ static int _norm_copy_coord_gpu(OpKernelContext* context,
// Tensor FPTYPE_temp;
TensorShape FPTYPE_shape;
FPTYPE_shape.AddDim(nall * 3);
context->allocate_temp(DataTypeToEnum<FPTYPE>::value, FPTYPE_shape,
tensor_list);
tensorflow::Status status = context->allocate_temp(
DataTypeToEnum<FPTYPE>::value, FPTYPE_shape, tensor_list);
if (!status.ok()) {
return false;
}
FPTYPE* tmp_coord = (*tensor_list).flat<FPTYPE>().data();
DPErrcheck(cudaMemcpy(tmp_coord, coord, sizeof(FPTYPE) * nall * 3,
cudaMemcpyDeviceToDevice));
Expand All @@ -1519,8 +1522,11 @@ static int _norm_copy_coord_gpu(OpKernelContext* context,
// Tensor double_temp;
TensorShape double_shape;
double_shape.AddDim(18);
context->allocate_temp(DataTypeToEnum<FPTYPE>::value, double_shape,
tensor_list + 1);
status = context->allocate_temp(DataTypeToEnum<FPTYPE>::value, double_shape,
tensor_list + 1);
if (!status.ok()) {
return false;
}
// Tensor int_temp;
TensorShape int_shape;
int_shape.AddDim(23 + nloc * 3 + loc_cellnum + total_cellnum * 3 +
Expand Down Expand Up @@ -1583,7 +1589,11 @@ static int _build_nlist_gpu(OpKernelContext* context,
// Tensor nlist_temp;
TensorShape nlist_shape;
nlist_shape.AddDim(nloc * 2);
context->allocate_temp(DT_INT32, nlist_shape, tensor_list);
tensorflow::Status status =
context->allocate_temp(DT_INT32, nlist_shape, tensor_list);
if (!status.ok()) {
return false;
}
ilist = (*tensor_list).flat<int>().data();
numneigh = ilist + nloc;
// Tensor jlist_temp;
Expand All @@ -1594,7 +1604,10 @@ static int _build_nlist_gpu(OpKernelContext* context,
for (tt = 0; tt < max_nnei_trial; ++tt) {
TensorShape jlist_shape;
jlist_shape.AddDim(3 * int_64(nloc) * mem_nnei);
context->allocate_temp(DT_INT32, jlist_shape, tensor_list + 1);
status = context->allocate_temp(DT_INT32, jlist_shape, tensor_list + 1);
if (!status.ok()) {
return false;
}
jlist = (*(tensor_list + 1)).flat<int>().data();
ind_data = jlist + nloc * mem_nnei;
for (int_64 ii = 0; ii < nloc; ++ii) {
Expand Down Expand Up @@ -1742,8 +1755,11 @@ static int _norm_copy_coord_gpu_rocm(OpKernelContext* context,
// Tensor double_temp;
TensorShape double_shape;
double_shape.AddDim(18);
context->allocate_temp(DataTypeToEnum<FPTYPE>::value, double_shape,
tensor_list + 1);
tensorflow::Status status = context->allocate_temp(
DataTypeToEnum<FPTYPE>::value, double_shape, tensor_list + 1);
if (!status.ok()) {
return false;
}
// Tensor int_temp;
TensorShape int_shape;
int_shape.AddDim(23 + nloc * 3 + loc_cellnum + total_cellnum * 3 +
Expand Down Expand Up @@ -1806,7 +1822,11 @@ static int _build_nlist_gpu_rocm(OpKernelContext* context,
// Tensor nlist_temp;
TensorShape nlist_shape;
nlist_shape.AddDim(nloc * 2);
context->allocate_temp(DT_INT32, nlist_shape, tensor_list);
tensorflow::Status status =
context->allocate_temp(DT_INT32, nlist_shape, tensor_list);
if (!status.ok()) {
return false;
}
ilist = (*tensor_list).flat<int>().data();
numneigh = ilist + nloc;
// Tensor jlist_temp;
Expand All @@ -1817,7 +1837,10 @@ static int _build_nlist_gpu_rocm(OpKernelContext* context,
for (tt = 0; tt < max_nnei_trial; ++tt) {
TensorShape jlist_shape;
jlist_shape.AddDim(3 * int_64(nloc) * mem_nnei);
context->allocate_temp(DT_INT32, jlist_shape, tensor_list + 1);
status = context->allocate_temp(DT_INT32, jlist_shape, tensor_list + 1);
if (!status.ok()) {
return false;
}
jlist = (*(tensor_list + 1)).flat<int>().data();
ind_data = jlist + nloc * mem_nnei;
for (int_64 ii = 0; ii < nloc; ++ii) {
Expand Down