92 lines
3.1 KiB
C++
92 lines
3.1 KiB
C++
/* Copyright 2017 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.
|
|
==============================================================================*/
|
|
|
|
// XLA Unpack operator.
|
|
|
|
#include <limits>
|
|
#include <vector>
|
|
|
|
#include "tensorflow/compiler/tf2xla/type_util.h"
|
|
#include "tensorflow/compiler/tf2xla/xla_helpers.h"
|
|
#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
|
|
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
|
|
#include "tensorflow/compiler/xla/client/xla_builder.h"
|
|
#include "tensorflow/compiler/xla/literal.h"
|
|
#include "tensorflow/core/framework/bounds_check.h"
|
|
#include "tensorflow/core/framework/op_kernel.h"
|
|
#include "tensorflow/core/framework/register_types.h"
|
|
#include "tensorflow/core/framework/tensor.h"
|
|
#include "tensorflow/core/framework/tensor_types.h"
|
|
#include "tensorflow/core/framework/types.h"
|
|
#include "tensorflow/core/lib/core/status.h"
|
|
#include "tensorflow/core/platform/types.h"
|
|
|
|
namespace tensorflow {
|
|
namespace {
|
|
|
|
class UnpackOp : public XlaOpKernel {
|
|
public:
|
|
explicit UnpackOp(OpKernelConstruction* ctx) : XlaOpKernel(ctx) {
|
|
OP_REQUIRES_OK(ctx, ctx->GetAttr("axis", &axis_));
|
|
}
|
|
|
|
void Compile(XlaOpKernelContext* ctx) override {
|
|
const int num = num_outputs();
|
|
const TensorShape input_shape = ctx->InputShape(0);
|
|
|
|
int axis = axis_;
|
|
if (axis < 0) axis += input_shape.dims();
|
|
|
|
OP_REQUIRES(ctx, 0 <= axis && axis < input_shape.dims(),
|
|
errors::InvalidArgument("axis = ", axis_, " not in [",
|
|
-input_shape.dims(), ", ",
|
|
input_shape.dims(), ")"));
|
|
|
|
OP_REQUIRES(
|
|
ctx, input_shape.dims() > 0 && input_shape.dim_size(axis) == num,
|
|
errors::InvalidArgument("Input shape axis ", axis, " must equal ", num,
|
|
", got shape ", input_shape.DebugString()));
|
|
|
|
auto output_shape = input_shape;
|
|
output_shape.RemoveDim(axis);
|
|
|
|
auto input = ctx->Input(0);
|
|
|
|
std::vector<int64> start_indices(input_shape.dims(), 0);
|
|
std::vector<int64> limit_indices(input_shape.dims());
|
|
std::vector<int64> strides(input_shape.dims(), 1);
|
|
for (int i = 0; i < input_shape.dims(); ++i) {
|
|
limit_indices[i] = input_shape.dim_size(i);
|
|
}
|
|
|
|
for (int i = 0; i < num; ++i) {
|
|
start_indices[axis] = i;
|
|
limit_indices[axis] = i + 1;
|
|
auto slice = xla::Slice(input, start_indices, limit_indices, strides);
|
|
// Reshape to drop the 'axis' dimension.
|
|
auto result = xla::Reshape(slice, output_shape.dim_sizes());
|
|
ctx->SetOutput(i, result);
|
|
}
|
|
}
|
|
|
|
private:
|
|
int axis_;
|
|
};
|
|
|
|
REGISTER_XLA_OP(Name("Unpack"), UnpackOp);
|
|
|
|
} // namespace
|
|
} // namespace tensorflow
|