66 lines
2.4 KiB
C++
66 lines
2.4 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/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 XlaDotOp : public XlaOpKernel {
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public:
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explicit XlaDotOp(OpKernelConstruction* context) : XlaOpKernel(context) {
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string dnums_attr;
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OP_REQUIRES_OK(context, context->GetAttr("dimension_numbers", &dnums_attr));
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OP_REQUIRES(
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context, dnums_.ParsePartialFromString(dnums_attr),
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errors::InvalidArgument("Error parsing convolution dimension numbers"));
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string precision_config_attr;
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OP_REQUIRES_OK(
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context, context->GetAttr("precision_config", &precision_config_attr));
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OP_REQUIRES(
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context,
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precision_config_.ParsePartialFromString(precision_config_attr),
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errors::InvalidArgument("Error parsing convolution dimension numbers"));
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}
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void Compile(XlaOpKernelContext* context) override {
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const TensorShape lhs_shape = context->InputShape(0);
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const TensorShape rhs_shape = context->InputShape(1);
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// We do only minimal checking, relying on XLA to check the shape
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// invariants.
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xla::XlaOp output = xla::DotGeneral(context->Input(0), context->Input(1),
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dnums_, &precision_config_);
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context->SetOutput(0, output);
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}
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private:
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xla::DotDimensionNumbers dnums_;
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xla::PrecisionConfig precision_config_;
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TF_DISALLOW_COPY_AND_ASSIGN(XlaDotOp);
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};
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REGISTER_XLA_OP(Name("XlaDot"), XlaDotOp);
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} // namespace
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} // namespace tensorflow
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