b1a6b315a6
Add ParameterizedTruncatedNormal to the XLA client library, and uses it to implement the standard version of TruncatedNormal. Add XlaOpKernel for ParameterizedTruncatedNormal. Add compiler test for parameterized truncated normal. PiperOrigin-RevId: 258860922
43 lines
1.7 KiB
C++
43 lines
1.7 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_RANDOM_H_
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#define TENSORFLOW_COMPILER_TF2XLA_LIB_RANDOM_H_
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/core/framework/types.pb.h"
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namespace tensorflow {
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// Builds an array of values sampled from a truncated normal distribution:
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//
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// uniform: an array of random numbers in uniform distribution (0, 1).
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// mu: the mean of the normal distribution.
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// sigma: the standard deviation of the normal distribution.
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// a: the lower bound of the generated values.
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// b: the upper bound of the generated values.
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xla::XlaOp ParameterizedTruncatedNormal(xla::XlaOp uniform, xla::XlaOp mu,
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xla::XlaOp sigma, xla::XlaOp a,
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xla::XlaOp b);
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// A specialized version of ParameterizedTruncatedNormal, with mu=0, sigma=1,
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// a=-2 and b=2.
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xla::XlaOp TruncatedNormal(xla::XlaOp uniform);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_LIB_RANDOM_H_
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