/// /// Copyright (c) 2019-2023 Arm Limited. /// /// SPDX-License-Identifier: MIT /// /// Permission is hereby granted, free of charge, to any person obtaining a copy /// of this software and associated documentation files (the "Software"), to /// deal in the Software without restriction, including without limitation the /// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or /// sell copies of the Software, and to permit persons to whom the Software is /// furnished to do so, subject to the following conditions: /// /// The above copyright notice and this permission notice shall be included in all /// copies or substantial portions of the Software. /// /// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR /// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, /// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE /// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER /// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, /// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE /// SOFTWARE. /// namespace arm_compute { /** @page errata Errata @tableofcontents @section S7_1_errata Errata - (COMPMID-6493) Crash when running Arm Compute Library compiled for SVE2 on a computer that support SVE only. - Versions: >= v21.02 && <=v23.08 - OSs: Linux, Android. - Conditions: - Compile the latest Arm Compute Library for SVE2 (arch=armv8.6-a-sve2). - multi_isa = 0 - Device with SVE but without SVE2 support. - Result: - Crash due to illegal instruction. - To run SVE only, build with arch="armv8.2-a-sve", arch="armv8.6-a-sve", or with multi_isa=1. - (COMPMID-6404) Under certain conditions, CLTile may produce incorrect result. - Versions: >= v19.02 && < v23.08 - OSs: Linux, Android. - Conditions: - The size of the lowest dimension of the input tensor is greater than 16 bytes. - The size of the lowest dimension of the input tensor is not a multiple of 16. - Result: - Incorrect result is produced. - (COMPMID-6271) Under certain conditions, CLArgMinMaxLayer validation tests may fail - Versions Affected: >= v20.02 && < v23.08 - OSs Affected: Linux - Conditions: - Backend: OpenCL - Axis == 0 - Result: - Sporadic mismatches only on certain devices - (COMPMID-5324) Issue identified with direct and depthwise convolutions for certain Arm® Mali™ DDK versions. - Versions Affected: < v22.08 - 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