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      1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #include <cmath>
     17 #include <memory>
     18 #include <vector>
     19 
     20 #include "tensorflow/compiler/xla/array2d.h"
     21 #include "tensorflow/compiler/xla/array4d.h"
     22 #include "tensorflow/compiler/xla/client/computation.h"
     23 #include "tensorflow/compiler/xla/client/computation_builder.h"
     24 #include "tensorflow/compiler/xla/client/lib/arithmetic.h"
     25 #include "tensorflow/compiler/xla/client/local_client.h"
     26 #include "tensorflow/compiler/xla/literal_util.h"
     27 #include "tensorflow/compiler/xla/reference_util.h"
     28 #include "tensorflow/compiler/xla/service/hlo_computation.h"
     29 #include "tensorflow/compiler/xla/service/hlo_instruction.h"
     30 #include "tensorflow/compiler/xla/service/hlo_module.h"
     31 #include "tensorflow/compiler/xla/shape_util.h"
     32 #include "tensorflow/compiler/xla/statusor.h"
     33 #include "tensorflow/compiler/xla/test.h"
     34 #include "tensorflow/compiler/xla/test_helpers.h"
     35 #include "tensorflow/compiler/xla/tests/client_library_test_base.h"
     36 #include "tensorflow/compiler/xla/tests/hlo_test_base.h"
     37 #include "tensorflow/compiler/xla/tests/literal_test_util.h"
     38 #include "tensorflow/compiler/xla/tests/test_macros.h"
     39 #include "tensorflow/compiler/xla/tests/test_utils.h"
     40 #include "tensorflow/compiler/xla/util.h"
     41 #include "tensorflow/compiler/xla/xla_data.pb.h"
     42 #include "tensorflow/core/platform/logging.h"
     43 #include "tensorflow/core/platform/test.h"
     44 #include "tensorflow/core/platform/types.h"
     45 
     46 namespace xla {
     47 namespace {
     48 
     49 class Bfloat16Test : public ClientLibraryTestBase {
     50  protected:
     51   const ErrorSpec error_spec_{0.001, 0.001};
     52 };
     53 
     54 XLA_TEST_F(Bfloat16Test, ScalarOperation) {
     55   ComputationBuilder builder(client_, TestName());
     56   auto x = builder.ConstantR0<bfloat16>(static_cast<bfloat16>(2.0f));
     57   auto y = builder.ConstantR0<bfloat16>(static_cast<bfloat16>(1.0f));
     58   builder.Add(x, y);
     59 
     60   ComputeAndCompareR0<bfloat16>(&builder, static_cast<bfloat16>(3.0f), {},
     61                                 error_spec_);
     62 }
     63 
     64 XLA_TEST_F(Bfloat16Test, LogOperation) {
     65   ComputationBuilder builder(client_, TestName());
     66   auto x = builder.ConstantR0<bfloat16>(static_cast<bfloat16>(4.0f));
     67   builder.Log(x);
     68 
     69   ComputeAndCompareR0<bfloat16>(&builder, static_cast<bfloat16>(1.387f), {},
     70                                 error_spec_);
     71 }
     72 
     73 XLA_TEST_F(Bfloat16Test, NegateScalarF16) {
     74   ComputationBuilder builder(client_, TestName());
     75   builder.Neg(builder.ConstantR0<bfloat16>(static_cast<bfloat16>(2.1f)));
     76 
     77   ComputeAndCompareR0<bfloat16>(&builder, static_cast<bfloat16>(-2.1f), {},
     78                                 error_spec_);
     79 }
     80 
     81 XLA_TEST_F(Bfloat16Test, BatchNormTraining) {
     82   const int kFeatureIndex = 2;
     83   ComputationBuilder builder(client_, TestName());
     84 
     85   auto operand = builder.ConstantR4FromArray4D<bfloat16>(
     86       {{{{static_cast<bfloat16>(1.f)}, {static_cast<bfloat16>(2.f)}},
     87         {{static_cast<bfloat16>(3.f)}, {static_cast<bfloat16>(4.f)}}},
     88        {{{static_cast<bfloat16>(5.f)}, {static_cast<bfloat16>(6.f)}},
     89         {{static_cast<bfloat16>(7.f)}, {static_cast<bfloat16>(8.f)}}}});
     90 
     91   auto scale = builder.ConstantR1<bfloat16>(
     92       {static_cast<bfloat16>(2.0f), static_cast<bfloat16>(3.0f)});
     93 
     94   auto offset = builder.ConstantR1<bfloat16>(
     95       {static_cast<bfloat16>(1.0f), static_cast<bfloat16>(2.0f)});
     96 
     97   auto tuple = builder.BatchNormTraining(operand, scale, offset,
     98                                          /*epsilon=*/0.001, kFeatureIndex);
     99 
    100   auto expected = Literal::MakeTuple(
    101       {Literal::CreateR4<bfloat16>(
    102            {{{{static_cast<bfloat16>(-1.6875f)},
    103               {static_cast<bfloat16>(-2.04f)}},
    104              {{static_cast<bfloat16>(0.105f)}, {static_cast<bfloat16>(0.66f)}}},
    105             {{{static_cast<bfloat16>(1.89f)}, {static_cast<bfloat16>(3.35f)}},
    106              {{static_cast<bfloat16>(3.7f)}, {static_cast<bfloat16>(6.04f)}}}})
    107            .get(),
    108        Literal::CreateR1<bfloat16>(
    109            {static_cast<bfloat16>(4), static_cast<bfloat16>(5)})
    110            .get(),
    111        Literal::CreateR1<bfloat16>(
    112            {static_cast<bfloat16>(5), static_cast<bfloat16>(5)})
    113            .get()});
    114 
    115   ComputeAndCompareTuple(&builder, *expected, {}, ErrorSpec(0.01));
    116 }
    117 
    118 XLA_TEST_F(Bfloat16Test, BatchNormGrad) {
    119   const int kFeatureIndex = 2;
    120   ComputationBuilder builder(client_, TestName());
    121 
    122   auto operand = builder.ConstantR4FromArray4D<bfloat16>(
    123       Array4D<bfloat16>(2, 2, 2, 1, static_cast<bfloat16>(0.0f)));
    124 
    125   auto scale = builder.ConstantR1<bfloat16>(
    126       {static_cast<bfloat16>(1.0f), static_cast<bfloat16>(1.0f)});
    127 
    128   auto mean = builder.ConstantR1<bfloat16>(
    129       {static_cast<bfloat16>(0.0f), static_cast<bfloat16>(0.0f)});
    130 
    131   auto var = builder.ConstantR1<bfloat16>(
    132       {static_cast<bfloat16>(1.0f), static_cast<bfloat16>(1.0f)});
    133 
    134   auto grad_output = builder.ConstantR4FromArray4D<bfloat16>(
    135       {{{{static_cast<bfloat16>(1.f)}, {static_cast<bfloat16>(2.f)}},
    136         {{static_cast<bfloat16>(3.f)}, {static_cast<bfloat16>(4.f)}}},
    137        {{{static_cast<bfloat16>(5.f)}, {static_cast<bfloat16>(6.f)}},
    138         {{static_cast<bfloat16>(7.f)}, {static_cast<bfloat16>(8.f)}}}});
    139 
    140   builder.BatchNormGrad(operand, scale, mean, var, grad_output,
    141                         /*epsilon=*/0.0, kFeatureIndex);
    142 
    143   auto expected = Literal::MakeTuple(
    144       {Literal::CreateR4<bfloat16>(
    145            {{{{static_cast<bfloat16>(-3.f)}, {static_cast<bfloat16>(-3.f)}},
    146              {{static_cast<bfloat16>(-1.f)}, {static_cast<bfloat16>(-1.f)}}},
    147             {{{static_cast<bfloat16>(1.f)}, {static_cast<bfloat16>(1.f)}},
    148              {{static_cast<bfloat16>(3.f)}, {static_cast<bfloat16>(3.f)}}}})
    149            .get(),
    150        Literal::CreateR1<bfloat16>(
    151            {static_cast<bfloat16>(0), static_cast<bfloat16>(0)})
    152            .get(),
    153        Literal::CreateR1<bfloat16>(
    154            {static_cast<bfloat16>(16), static_cast<bfloat16>(20)})
    155            .get()});
    156 
    157   ComputeAndCompareTuple(&builder, *expected, {}, ErrorSpec(0.01));
    158 }
    159 
    160 }  // namespace
    161 }  // namespace xla
    162