82 lines
3.5 KiB
C++
82 lines
3.5 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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#ifndef TENSORFLOW_COMPILER_TF2XLA_LIB_UTIL_H_
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#define TENSORFLOW_COMPILER_TF2XLA_LIB_UTIL_H_
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#include "absl/types/span.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/client/xla_computation.h"
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#include "tensorflow/compiler/xla/statusor.h"
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namespace tensorflow {
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// Returns a floating point scalar constant of 'type' with 'value'.
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// If 'type' is complex, returns a real value with zero imaginary component.
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xla::XlaOp FloatLiteral(xla::XlaBuilder* builder, xla::PrimitiveType type,
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double value);
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// Makes a 1D tensor [0, ..., x, y] from two tensors x and y with zeros
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// prepended until the array is length n_dims.
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xla::XlaOp PrependZerosInMajorDims(xla::XlaOp x,
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absl::Span<const xla::XlaOp> starts);
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// Returns a integer scalar constant of 'type' with 'value'.
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// If 'type' is complex, returns a real value with zero imaginary component.
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xla::XlaOp IntegerLiteral(xla::XlaBuilder* builder, xla::PrimitiveType type,
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int64 value);
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// Builds a vector of zeros of length rank(x) with the last values being
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// those in `starts`.
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xla::XlaOp PrependZerosInMajorDims(xla::XlaOp x,
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absl::Span<const xla::XlaOp> starts);
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// Performs a slice in the minor dimensions of a Tensor.
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xla::XlaOp SliceInMinorDims(xla::XlaOp x, absl::Span<const int64> start,
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absl::Span<const int64> end);
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// Returns the concatenation of `xs` and `ys`.
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std::vector<int64> ConcatVectors(absl::Span<const int64> xs,
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absl::Span<const int64> ys);
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// Performs a dynamic slice in the minor dimensions of a Tensor.
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xla::XlaOp DynamicSliceInMinorDims(xla::XlaOp x,
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absl::Span<const xla::XlaOp> starts,
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absl::Span<const int64> sizes);
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// Updates a slice of 'x', i.e.,
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// x[start[0], ..., start[n]] = update
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xla::XlaOp UpdateSlice(xla::XlaOp x, xla::XlaOp update,
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absl::Span<const int64> start);
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// Updates a slice of 'x', where 'start' contains a list of minor dimensions:
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// x[..., start[0], ..., start[n]] = update
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xla::XlaOp UpdateSliceInMinorDims(xla::XlaOp x, xla::XlaOp update,
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absl::Span<const int64> start);
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xla::XlaOp DynamicUpdateSliceInMinorDims(xla::XlaOp x, xla::XlaOp update,
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absl::Span<const xla::XlaOp> starts);
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// Transposes a stack of matrices `x` by swapping the last two dimensions.
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xla::XlaOp TransposeInMinorDims(xla::XlaOp x);
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// Applies a complex conjugation operation if `a` is complex and `conjugate_a`
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// is true, otherwise returns its argument.
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xla::XlaOp MaybeConjugate(xla::XlaOp x, bool conjugate);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_LIB_UTIL_H_
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