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Fix the LargestVectorSize parameter for SVE test cases #100606

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Fixes: #100366

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("SveLoadMaskedUnOpTest.template", new Dictionary<string, string> { ["TestName"] = "SveLoadVector_ushort", ["Isa"] = "Sve", ["Method"] = "LoadVector", ["RetVectorType"] = "Vector", ["RetBaseType"] = "UInt16", ["Op1VectorType"] = "Vector", ["Op1BaseType"] = "UInt16", ["Op2BaseType"] = "UInt16", ["LargestVectorSize"] = "8", ["NextValueOp2"] = "TestLibrary.Generator.GetUInt16()", ["ValidateIterResult"] = "firstOp[i] != result[i]"}),
("SveLoadMaskedUnOpTest.template", new Dictionary<string, string> { ["TestName"] = "SveLoadVector_uint", ["Isa"] = "Sve", ["Method"] = "LoadVector", ["RetVectorType"] = "Vector", ["RetBaseType"] = "UInt32", ["Op1VectorType"] = "Vector", ["Op1BaseType"] = "UInt32", ["Op2BaseType"] = "UInt32", ["LargestVectorSize"] = "8", ["NextValueOp2"] = "TestLibrary.Generator.GetUInt32()", ["ValidateIterResult"] = "firstOp[i] != result[i]"}),
("SveLoadMaskedUnOpTest.template", new Dictionary<string, string> { ["TestName"] = "SveLoadVector_ulong", ["Isa"] = "Sve", ["Method"] = "LoadVector", ["RetVectorType"] = "Vector", ["RetBaseType"] = "UInt64", ["Op1VectorType"] = "Vector", ["Op1BaseType"] = "UInt64", ["Op2BaseType"] = "UInt64", ["LargestVectorSize"] = "8", ["NextValueOp2"] = "TestLibrary.Generator.GetUInt64()", ["ValidateIterResult"] = "firstOp[i] != result[i]"}),
("SveLoadMaskedUnOpTest.template", new Dictionary<string, string> { ["TestName"] = "SveLoadVector_float", ["Isa"] = "Sve", ["Method"] = "LoadVector", ["RetVectorType"] = "Vector", ["RetBaseType"] = "Single", ["Op1VectorType"] = "Vector", ["Op1BaseType"] = "Single", ["Op2BaseType"] = "Single", ["LargestVectorSize"] = "16", ["NextValueOp2"] = "TestLibrary.Generator.GetSingle()", ["ValidateIterResult"] = "firstOp[i] != result[i]"}),
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@tannergooding tannergooding Apr 4, 2024

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This would fail if the tests were run on say the AWS Graviton, where LargestVectorSize == 32 (256-bit vectors).

The actual limit for SVE vector size is 2048 bits and so we should probably set LargestVectorSize = 256 (although the highest shipped hardware to date is 512-bits, or rather LargestVectorSize = 64) to ensure we're future proof.

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Is LargestVectorSize only used to ensure it creates a large enough pool of memory for the data values?

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Yes, it's used to ensure that there is enough data to load from memory and to store to memory so that it can be tested/validated.

To that extent, it needs to be at least as big as any hardware we run on supports; but more ideally should just be future proof as well.

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i will fix it as part of #100743

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Test failure: JIT\HardwareIntrinsics\Arm\Sve\Sve_ro\Sve_ro.cmd
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