3cfc29aa36
Unknown ranked tensor are expressed as xla shape T[0] as used in other places across the tf2xla bridge. I don't quite like it but fixing that is outside the scope of this cl. PiperOrigin-RevId: 306476269 Change-Id: I67eb6f93f38059003549a26f123dbcc299aa57d0
54 lines
1.9 KiB
C++
54 lines
1.9 KiB
C++
/* Copyright 2017 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_helpers.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/constants.h"
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#include "tensorflow/core/framework/kernel_def_builder.h"
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#include "tensorflow/core/framework/tensor_shape.h"
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namespace tensorflow {
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// This OpKernel implements the FakeParam Op for XLA JIT devices. Create zeros
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// with the appropriate shape for FakeParam op.
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class XlaFakeParamOp : public XlaOpKernel {
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public:
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explicit XlaFakeParamOp(OpKernelConstruction* ctx) : XlaOpKernel(ctx) {
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DataType dtype;
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// Tensor shape can be unknown.
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PartialTensorShape tensor_shape;
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OP_REQUIRES_OK(ctx, ctx->GetAttr("dtype", &dtype));
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OP_REQUIRES_OK(ctx, ctx->GetAttr("shape", &tensor_shape));
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OP_REQUIRES_OK(ctx, TensorShapeToXLAShape(dtype, tensor_shape, &shape_));
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}
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void Compile(XlaOpKernelContext* ctx) override {
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xla::XlaBuilder* b = ctx->builder();
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ctx->SetOutput(0, xla::Zeros(b, shape_));
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}
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private:
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xla::Shape shape_;
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TF_DISALLOW_COPY_AND_ASSIGN(XlaFakeParamOp);
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};
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REGISTER_XLA_OP(Name("FakeParam"), XlaFakeParamOp);
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} // namespace tensorflow
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