61 lines
2.1 KiB
C++
61 lines
2.1 KiB
C++
/* Copyright 2018 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/compiler/tf2xla/shape_util.h"
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#include "tensorflow/compiler/tf2xla/xla_compiler.h"
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#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
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#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
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#include "tensorflow/compiler/xla/client/lib/quantize.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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#include "tensorflow/core/framework/op_kernel.h"
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namespace tensorflow {
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namespace {
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class XlaDequantizeOp : public XlaOpKernel {
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public:
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explicit XlaDequantizeOp(OpKernelConstruction* context)
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: XlaOpKernel(context) {
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OP_REQUIRES_OK(context, context->GetAttr("min_range", &min_range_));
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OP_REQUIRES_OK(context, context->GetAttr("max_range", &max_range_));
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OP_REQUIRES_OK(context, context->GetAttr("mode", &mode_));
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OP_REQUIRES_OK(context,
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context->GetAttr("transpose_output", &transpose_output_));
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}
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void Compile(XlaOpKernelContext* context) override {
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const xla::XlaOp& input = context->Input(0);
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xla::QuantizedRange range(min_range_, max_range_);
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xla::XlaOp output =
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xla::Dequantize<uint8>(input, range, mode_, transpose_output_);
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context->SetOutput(0, output);
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}
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private:
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float min_range_;
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float max_range_;
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bool transpose_output_;
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string mode_;
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TF_DISALLOW_COPY_AND_ASSIGN(XlaDequantizeOp);
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};
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REGISTER_XLA_OP(Name("XlaDequantize"), XlaDequantizeOp);
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} // namespace
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} // namespace tensorflow
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