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Diffstat (limited to 'tensorflow/core/kernels/identity_op.cc')
| -rw-r--r-- | tensorflow/core/kernels/identity_op.cc | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/identity_op.cc b/tensorflow/core/kernels/identity_op.cc new file mode 100644 index 0000000000..b29efbddfb --- /dev/null +++ b/tensorflow/core/kernels/identity_op.cc @@ -0,0 +1,45 @@ +// See docs in ../ops/array_ops.cc. +#include "tensorflow/core/kernels/identity_op.h" + +#include "tensorflow/core/framework/op_kernel.h" +#include "tensorflow/core/framework/register_types.h" +#include "tensorflow/core/framework/types.h" +#include "tensorflow/core/public/tensor.h" + +namespace tensorflow { + +REGISTER_KERNEL_BUILDER(Name("Identity").Device(DEVICE_CPU), IdentityOp); +// StopGradient does the same thing as Identity, but has a different +// gradient registered. +REGISTER_KERNEL_BUILDER(Name("StopGradient").Device(DEVICE_CPU), IdentityOp); + +REGISTER_KERNEL_BUILDER(Name("RefIdentity").Device(DEVICE_CPU), IdentityOp); + +#define REGISTER_GPU_KERNEL(type) \ + REGISTER_KERNEL_BUILDER( \ + Name("Identity").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ + IdentityOp); \ + REGISTER_KERNEL_BUILDER( \ + Name("RefIdentity").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ + IdentityOp); \ + REGISTER_KERNEL_BUILDER( \ + Name("StopGradient").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ + IdentityOp) + +TF_CALL_NUMBER_TYPES_NO_INT32(REGISTER_GPU_KERNEL); +REGISTER_GPU_KERNEL(bool); +REGISTER_GPU_KERNEL(bfloat16); + +#undef REGISTER_GPU_KERNEL + +// A special GPU kernel for int32. +// TODO(b/25387198): Also enable int32 in device memory. This kernel +// registration requires all int32 inputs and outputs to be in host memory. +REGISTER_KERNEL_BUILDER(Name("Identity") + .Device(DEVICE_GPU) + .HostMemory("input") + .HostMemory("output") + .TypeConstraint<int32>("T"), + IdentityOp); + +} // namespace tensorflow |