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Add bf16 support for knn_cpu, radius_cpu and graclus_cpu #144

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Merged
merged 1 commit into from
Aug 22, 2022
Merged

Add bf16 support for knn_cpu, radius_cpu and graclus_cpu #144

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2 changes: 1 addition & 1 deletion csrc/cpu/graclus_cpu.cpp
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Expand Up @@ -47,7 +47,7 @@ torch::Tensor graclus_cpu(torch::Tensor rowptr, torch::Tensor col,
} else {
auto weight = optional_weight.value();
auto scalar_type = weight.scalar_type();
AT_DISPATCH_ALL_TYPES_AND(at::ScalarType::Half, scalar_type, "_", [&] {
AT_DISPATCH_ALL_TYPES_AND2(at::ScalarType::Half, at::ScalarType::BFloat16, scalar_type, "graclus_cpu", [&] {
auto weight_data = weight.data_ptr<scalar_t>();

for (auto n = 0; n < num_nodes; n++) {
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2 changes: 1 addition & 1 deletion csrc/cpu/knn_cpu.cpp
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Expand Up @@ -25,7 +25,7 @@ torch::Tensor knn_cpu(torch::Tensor x, torch::Tensor y,

std::vector<size_t> out_vec = std::vector<size_t>();

AT_DISPATCH_ALL_TYPES_AND(at::ScalarType::Half, x.scalar_type(), "_", [&] {
AT_DISPATCH_ALL_TYPES_AND2(at::ScalarType::Half, at::ScalarType::BFloat16, x.scalar_type(), "knn_cpu", [&] {
// See: nanoflann/examples/vector_of_vectors_example.cpp

auto x_data = x.data_ptr<scalar_t>();
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2 changes: 1 addition & 1 deletion csrc/cpu/radius_cpu.cpp
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Expand Up @@ -25,7 +25,7 @@ torch::Tensor radius_cpu(torch::Tensor x, torch::Tensor y,

std::vector<size_t> out_vec = std::vector<size_t>();

AT_DISPATCH_ALL_TYPES_AND(at::ScalarType::Half, x.scalar_type(), "_", [&] {
AT_DISPATCH_ALL_TYPES_AND2(at::ScalarType::Half, at::ScalarType::BFloat16, x.scalar_type(), "radius_cpu", [&] {
// See: nanoflann/examples/vector_of_vectors_example.cpp

auto x_data = x.data_ptr<scalar_t>();
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3 changes: 2 additions & 1 deletion test/utils.py
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@@ -1,6 +1,7 @@
import torch

dtypes = [torch.half, torch.float, torch.double, torch.int, torch.long]
dtypes = [torch.half, torch.bfloat16, torch.float, torch.double,
torch.int, torch.long]
grad_dtypes = [torch.half, torch.float, torch.double]

devices = [torch.device('cpu')]
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