/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/core/kernels/cwise_ops_common.h"
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namespace tensorflow {
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REGISTER6(BinaryOp, CPU, "FloorDiv", functor::safe_floor_div, uint8, uint16,
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int8, int16, int32, int64);
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REGISTER3(BinaryOp, CPU, "FloorDiv", functor::floor_div_real, float,
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Eigen::half, double);
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#if GOOGLE_CUDA
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REGISTER4(BinaryOp, GPU, "FloorDiv", functor::floor_div, uint8, uint16, int16,
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int64);
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REGISTER3(BinaryOp, GPU, "FloorDiv", functor::floor_div_real, float,
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Eigen::half, double);
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#endif
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#if GOOGLE_CUDA
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// A special GPU kernel for int32.
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// TODO(b/25387198): Also enable int32 in device memory. This kernel
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// registration requires all int32 inputs and outputs to be in host memory.
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REGISTER_KERNEL_BUILDER(Name("FloorDiv")
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.Device(DEVICE_GPU)
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.HostMemory("x")
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.HostMemory("y")
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.HostMemory("z")
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.TypeConstraint<int32>("T"),
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BinaryOp<CPUDevice, functor::safe_floor_div<int32>>);
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#endif
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#ifdef TENSORFLOW_USE_SYCL
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REGISTER_KERNEL_BUILDER(Name("FloorDiv")
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.Device(DEVICE_SYCL)
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.HostMemory("x")
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.HostMemory("y")
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.HostMemory("z")
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.TypeConstraint<int32>("T"),
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BinaryOp<CPUDevice, functor::safe_floor_div<int32>>);
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#endif // TENSORFLOW_USE_SYCL
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} // namespace tensorflow
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