a5d5a36e4c
Casting negative s32 number to u64 directly will have leading 1s in the representation which is not what we want to get a single u64 out of two s32 seeds. Fixed this by first getting unsigned number of the same bit-width. PiperOrigin-RevId: 345902167 Change-Id: I4f2f6d5415a82ac49db197a64216f951cf1b059d
46 lines
2.0 KiB
C++
46 lines
2.0 KiB
C++
/* Copyright 2019 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_KERNELS_RANDOM_OPS_UTIL_H_
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#define TENSORFLOW_COMPILER_TF2XLA_KERNELS_RANDOM_OPS_UTIL_H_
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#include <cmath>
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/core/framework/tensor.h"
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namespace tensorflow {
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// Returns a tensor containing 'shape' random values uniformly distributed in
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// the range [minval, maxval). The raw random bits are generated by the given
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// `bit_generator` and converted to the requested data type and range. This
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// routine requires 2 32-bit integer seeds and currently only supports 'shape's
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// of type F32, S32 and S64.
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xla::XlaOp StatelessRngUniform(absl::string_view device_type_string,
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xla::XlaOp seeds, const xla::Shape& shape,
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xla::XlaOp minval, xla::XlaOp maxval);
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// Converts to bfloat16 if `dtype` equals DT_BFLOAT16, no-op otherwise.
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// It masks the last 16 bit. With normal rounding, values near "maxval" would be
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// converted to "maxval" which is out of range ["minval", "maxval"). In
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// addition, the distribution near the limit is not uniform.
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xla::XlaOp MaybeConvertF32ToBF16(xla::XlaOp input, DataType dtype);
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// Combines two signed 32-bit seeds into a single unsigned 64 bit seed.
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xla::XlaOp GetU64FromS32Seeds(xla::XlaOp seed0, xla::XlaOp seed1);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_KERNELS_RANDOM_OPS_UTIL_H_
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