///
/// Copyright (c) 2019-2022 Arm Limited.
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namespace arm_compute
{
/**
@page errata Errata

@tableofcontents

@section S7_1_errata Errata

- (COMPMID-5324) Issue identified with direct and depthwise convolutions for certain Arm® Mali™ DDK versions.
    - Versions Affected: All.
    - Conditions:
        - Arm® Mali™ DDK Versions : >= r23p0 && <= r38p0
        - Mali™ GPUs: Bifrost GPU family with the exception of G71
        - Backend: OpenCL
        - Build options Include : "cl-fast-relaxed-math"
    - Result: Reduced accuracy issue, while using direct and depthwise convolutions fused with LU_BOUNDED_RELU activation.

- (COMPMID-5134) An issue has been identified when running the graph_deepspeech_v0_4_1 graph example.
    - Versions Affected: >= v21.08
    - Conditions:
        - Data type input: F32
        - Backend: OpenCL
    - Result: The execution of the graph_deepspeech_v0_4_1 could fail on OpenCL backend for systems with a small RAM. The issue is due to the extra temporary memory required to reshape the network weights

- (COMPMID-4013) Experimented performance regressions for some networks on OpenCL when using Arm® Mali™ DDK r8p0
    - Versions Affected: v21.05
    - OSs Affected: All
    - Conditions:
        - Arm® Mali™ DDK r8p0

- (COMPMID-5146) Under certain conditions, CLFullyConnectedLayer quantized tests may fail due to an issue in the test framework.
    - Versions Affected: v21.02
    - OSs Affected: Linux
    - Conditions:
        - armv7a architecture
        - release mode
        - asserts enabled

- (COMPMID-4367) Performance regression in Convolution Layer OpenCL backend on Mali™ G77 when QSYMM8_PER_CHANNEL is used as weights' data type.
    - Versions Affected: >= v20.11 && < v21.08
    - OSs Affected: All
    - Conditions:
        - Mali™ G77
        - Convolution Layer in use
        - OpenCL backend
        - Convolution Layer uses QSYMM8_PER_CHANNEL as the data type of its weight

- (COMPMID-4306) A wrong test configuration has been found in CLGEMMMatrixMultiplyReshapedOnlyRHS set of tests.
    - Versions Affected: >= v20.11 && < v21.05
    - Conditions:
        - Data type input: F32/F16
        - Fused bounded relu activation with coefficient 'a' being negative

- (COMPMID-5135) Under certain conditions, the validation test case 'CL/DirectConvolutionLayer/Float/FP32/RunSmall9x9\@InputShape=32x37x3x4:StrideX=1:StrideY=1:PadX=0:PadY=0:KernelSize=9:NumKernels=1:DataType=F32:ActivationInfo=LU_BOUNDED_RELU:DataLayout=NHWC' may fail.
    - Versions Affected: >= v20.08
    - Conditions:
        - The validation suite has to run in nightly mode and execute 40k+ test cases before the test mentioned above

- (COMPMID-5136) Under certain conditions, benchmark examples can hang when OpenCL profiling queues are enabled.
    - Versions Affected: >= v19.11
    - OSs Affected: Linux
    - Conditions:
        - Arm® Mali™ DDK r1p0 - r8p0, and
        - Linux kernel >= 4.4

- (COMPMID-5137) On Android with armv8a/armv8.2-a architecture, Arm® Neon™ validation tests can fail when compiled using Android Ndk
  >= r18b in debug mode (https://github.com/android/ndk/issues/1135).
    - Versions Affected: >= v19.11
    - OSs Affected: Android
    - Conditions:
        - armv8a/armv8.2-a architecture, and
        - Compiled using Android NDK >= r18b in debug mode.

- (COMPMID-4288) An issue has been identified with CLCast.
    - Versions Affected: >= v18.11 && < v21.05
    - Conditions:
        - Data type input: F32
        - Data type output: All integer types
        - Conversion policy: SATURATE
    - Result: OpenCL backend will always wrap around instead of saturating for out-of-range inputs

*/
} // namespace