| /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include <vector> |
| |
| #include "tensorflow/core/framework/op_kernel.h" |
| #include "tensorflow/core/framework/register_types.h" |
| #include "tensorflow/core/framework/tensor_types.h" |
| #include "tensorflow/core/framework/types.h" |
| #include "tensorflow/core/kernels/reshape_op.h" |
| |
| namespace tensorflow { |
| |
| class QuantizedReshapeOp : public ReshapeOp { |
| public: |
| explicit QuantizedReshapeOp(OpKernelConstruction* c) : ReshapeOp(c) {} |
| |
| void Compute(OpKernelContext* ctx) override { |
| // This call processes inputs 1 and 2 to write output 0. |
| ReshapeOp::Compute(ctx); |
| |
| const float input_min_float = ctx->input(2).flat<float>()(0); |
| const float input_max_float = ctx->input(3).flat<float>()(0); |
| Tensor* output_min = nullptr; |
| OP_REQUIRES_OK(ctx, ctx->allocate_output(1, TensorShape({}), &output_min)); |
| output_min->flat<float>()(0) = input_min_float; |
| |
| Tensor* output_max = nullptr; |
| OP_REQUIRES_OK(ctx, ctx->allocate_output(2, TensorShape({}), &output_max)); |
| output_max->flat<float>()(0) = input_max_float; |
| } |
| }; |
| |
| #define REGISTER_CPU_KERNEL(type) \ |
| REGISTER_KERNEL_BUILDER(Name("QuantizedReshape") \ |
| .Device(DEVICE_CPU) \ |
| .HostMemory("shape") \ |
| .TypeConstraint<type>("T"), \ |
| QuantizedReshapeOp) |
| |
| REGISTER_CPU_KERNEL(::tensorflow::quint8); |
| REGISTER_CPU_KERNEL(::tensorflow::qint32); |
| |
| #undef REGISTER_CPU_KERNEL |
| |
| } // namespace tensorflow |