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#include "caffe2/operators/half_float_ops.h"
#include "caffe2/core/context_gpu.h"
#ifdef CAFFE_HAS_CUDA_FP16
namespace caffe2 {
namespace {
__global__ void FloatToHalfKernel(const int N, const float* X, half* Y) {
CUDA_1D_KERNEL_LOOP(i, N) {
Y[i] = __float2half(X[i]);
}
}
__global__ void HalfToFloatKernel(const int N, const half* X, float* Y) {
CUDA_1D_KERNEL_LOOP(i, N) {
Y[i] = __half2float(X[i]);
}
}
}
template <>
bool FloatToHalfOp<CUDAContext>::RunOnDevice() {
auto& X = Input(0);
auto* Y = Output(0, X.sizes(), at::dtype<at::Half>());
FloatToHalfKernel<<<
CAFFE_GET_BLOCKS(X.numel()),
CAFFE_CUDA_NUM_THREADS,
0,
context_.cuda_stream()>>>(
X.numel(),
X.data<float>(),
reinterpret_cast<half*>(Y->template mutable_data<at::Half>()));
C10_CUDA_KERNEL_LAUNCH_CHECK();
return true;
}
template <>
bool HalfToFloatOp<CUDAContext>::RunOnDevice() {
auto& X = Input(0);
auto* Y = Output(0, X.sizes(), at::dtype<float>());
HalfToFloatKernel<<<
CAFFE_GET_BLOCKS(X.numel()),
CAFFE_CUDA_NUM_THREADS,
0,
context_.cuda_stream()>>>(
X.numel(),
reinterpret_cast<const half*>(X.data<at::Half>()),
Y->template mutable_data<float>());
C10_CUDA_KERNEL_LAUNCH_CHECK();
return true;
}
template <>
bool Float16UniformFillOp<CUDAContext>::RunOnDevice() {
auto* output = Output(0, shape_, at::dtype<at::Half>());
at::Half* out = output->template mutable_data<at::Half>();
auto leading_dim_sz = output->size(0);
CAFFE_ENFORCE_GT(leading_dim_sz, 0,
"The input shape should have the first dimension greater than 0");
int rowsz = output->numel() / output->size(0);
ReinitializeTensor(
&temp_data_buffer_, {rowsz}, at::dtype<float>().device(CUDA));
float* temp_data = temp_data_buffer_.template mutable_data<float>();
for (uint64_t i = 0; i < leading_dim_sz; i++) {
math::RandUniform<float, CUDAContext>(
rowsz, min_, max_, temp_data, &context_);
FloatToHalfKernel<<<
CAFFE_GET_BLOCKS(rowsz),
CAFFE_CUDA_NUM_THREADS,
0,
context_.cuda_stream()>>>(
rowsz,
temp_data,
reinterpret_cast<half*>(out + i * rowsz));
C10_CUDA_KERNEL_LAUNCH_CHECK();
}
return true;
}
REGISTER_CUDA_OPERATOR(FloatToHalf, FloatToHalfOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(HalfToFloat, HalfToFloatOp<CUDAContext>);
REGISTER_CUDA_OPERATOR(Float16UniformFill, Float16UniformFillOp<CUDAContext>);
} // namespace caffe2
#endif // CAFFE_HAS_CUDA_FP16
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