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LegacyDefinitions.cpp
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LegacyDefinitions.cpp
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#include <ATen/ATen.h>
#include <ATen/NativeFunctions.h>
#include <ATen/LegacyTHFunctionsCUDA.h>
namespace at { namespace native {
// Methods
Tensor & masked_fill__cuda(Tensor& self, const Tensor & mask, Scalar value) {
// As we dispatch on self and TH is type-checked, we need different definitions.
// This can be fixed by moving to ATen.
if (mask.dtype() == at::ScalarType::Byte) {
AT_WARN("masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated," \
"please use a mask with dtype torch.bool instead.");
return legacy::cuda::_th_masked_fill_(self, mask, value);
} else {
return legacy::cuda::_th_masked_fill_bool_(self, mask, value);
}
}
Tensor & masked_fill__cuda(Tensor& self, const Tensor & mask, const Tensor & value) {
// As we dispatch on self and TH is type-checked, we need different definitions.
// This can be fixed by moving to ATen.
if (mask.dtype() == at::ScalarType::Byte) {
AT_WARN("masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated," \
"please use a mask with dtype torch.bool instead.");
return legacy::cuda::_th_masked_fill_(self, mask, value);
} else {
return legacy::cuda::_th_masked_fill_bool_(self, mask, value);
}
}
Tensor & masked_scatter__cuda(Tensor& self, const Tensor & mask, const Tensor & source) {
// As we dispatch on self and TH is type-checked, we need different definitions.
// This can be fixed by moving to ATen.
if (mask.dtype() == at::ScalarType::Byte) {
AT_WARN("masked_scatter_ received a mask with dtype torch.uint8, this behavior is now deprecated," \
"please use a mask with dtype torch.bool instead.");
return legacy::cuda::_th_masked_scatter_(self, mask, source);
} else {
return legacy::cuda::_th_masked_scatter_bool_(self, mask, source);
}
}
Tensor masked_select_cuda(const Tensor & self, const Tensor & mask) {
if (mask.dtype() == at::ScalarType::Byte) {
AT_WARN("masked_select received a mask with dtype torch.uint8, this behavior is now deprecated," \
"please use a mask with dtype torch.bool instead.");
return legacy::cuda::_th_masked_select(self, mask);
} else {
return legacy::cuda::_th_masked_select_bool(self, mask);
}
}
Tensor & masked_select_out_cuda(Tensor & result, const Tensor & self, const Tensor & mask) {
if (mask.dtype() == at::ScalarType::Bool) {
return legacy::cuda::_th_masked_select_bool_out(result, self, mask);
} else {
return legacy::cuda::_th_masked_select_out(result, self, mask);
}
}
Tensor & gather_out_cuda(Tensor & result, const Tensor & self, int64_t dim, const Tensor & index, bool sparse_grad) {
return legacy::cuda::_th_gather_out(result, self, dim, index);
}
Tensor gather_cuda(const Tensor & self, int64_t dim, const Tensor & index, bool sparse_grad) {
return legacy::cuda::_th_gather(self, dim, index);
}
Tensor & lt_out_cuda(Tensor & result, const Tensor & self, const Tensor & other) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.lt received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_lt_byte_out(result, self, other);
} else {
return legacy::cuda::_th_lt_out(result, self, other);
}
}
Tensor & lt_scalar_out_cuda(Tensor & result, const Tensor & self, const Scalar value) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.lt received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_lt_byte_out(result, self, value);
} else {
return legacy::cuda::_th_lt_out(result, self, value);
}
}
Tensor & le_out_cuda(Tensor & result, const Tensor & self, const Tensor & other) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.le received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_le_byte_out(result, self, other);
} else {
return legacy::cuda::_th_le_out(result, self, other);
}
}
Tensor & le_scalar_out_cuda(Tensor & result, const Tensor & self, const Scalar value) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.le received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_le_byte_out(result, self, value);
} else {
return legacy::cuda::_th_le_out(result, self, value);
}
}
Tensor & gt_out_cuda(Tensor & result, const Tensor & self, const Tensor & other) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.gt received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_gt_byte_out(result, self, other);
} else {
return legacy::cuda::_th_gt_out(result, self, other);
}
}
Tensor & gt_scalar_out_cuda(Tensor & result, const Tensor & self, const Scalar value) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.gt received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_gt_byte_out(result, self, value);
} else {
return legacy::cuda::_th_gt_out(result, self, value);
}
}
Tensor & ge_out_cuda(Tensor & result, const Tensor & self, const Tensor & other) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.ge received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_ge_byte_out(result, self, other);
} else {
return legacy::cuda::_th_ge_out(result, self, other);
}
}
Tensor & ge_scalar_out_cuda(Tensor & result, const Tensor & self, const Scalar value) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.ge received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_ge_byte_out(result, self, value);
} else {
return legacy::cuda::_th_ge_out(result, self, value);
}
}
Tensor & eq_out_cuda(Tensor & result, const Tensor & self, const Tensor & other) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.eq received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_eq_byte_out(result, self, other);
} else {
return legacy::cuda::_th_eq_out(result, self, other);
}
}
Tensor & eq_scalar_out_cuda(Tensor & result, const Tensor & self, const Scalar value) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.eq received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_eq_byte_out(result, self, value);
} else {
return legacy::cuda::_th_eq_out(result, self, value);
}
}
Tensor & ne_out_cuda(Tensor & result, const Tensor & self, const Tensor & other) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.ne received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_ne_byte_out(result, self, other);
} else {
return legacy::cuda::_th_ne_out(result, self, other);
}
}
Tensor & ne_scalar_out_cuda(Tensor & result, const Tensor & self, const Scalar value) {
if (result.dtype() == at::ScalarType::Byte) {
AT_WARN("torch.ne received 'out' parameter with dtype torch.uint8, this behavior is now deprecated," \
"please use 'out' parameter with dtype torch.bool instead.");
return legacy::cuda::_th_ne_byte_out(result, self, value);
} else {
return legacy::cuda::_th_ne_out(result, self, value);
}
}
}} // namespace at::native