Move slicing utilities into a new xla/client/lib/slicing.h. Move MaybeConjugate into xla/client/lib/math.h. Move *TransposeInMinorDims into xla/client/lib/matrix.h.\ CL in preparation for moving linear algebra routines into XLA client library. PiperOrigin-RevId: 224036090
48 lines
1.9 KiB
C++
48 lines
1.9 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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// 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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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_LIB_UTIL_H_
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