4a00f1aab2
3 MLIR tests `FAIL` on SPARC, both Solaris/sparcv9 and Linux/sparc64: ``` MLIR :: Conversion/ArithToSPIRV/arith-to-spirv-le-specific.mlir MLIR :: IR/elements-attr-interface.mlir MLIR :: Target/LLVMIR/llvmir-le-specific.mlir ``` The issue is always the same: the tests in question are little-endian-only currently, so this patch `XFAIL`s them on `sparc*` as is already done for `s390x`. Tested on `sparcv9-sun-solaris2.11`, `sparc64-unknown-linux-gnu`, `amd64-pc-solaris2.11`, and `x86_64-pc-linux-gnu`.
57 lines
2.9 KiB
MLIR
57 lines
2.9 KiB
MLIR
// RUN: mlir-opt %s -test-elements-attr-interface -verify-diagnostics
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// Parsing external resources does not work on big-endian platforms currently
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// XFAIL: target={{(s390x|sparc.*)-.*}}
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// This test contains various `ElementsAttr` attributes, and tests the support
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// for iterating the values of these attributes using various native C++ types.
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// This tests that the abstract iteration of ElementsAttr works properly, and
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// is properly failable when necessary.
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// expected-error@below {{Test iterating `int64_t`: unable to iterate type}}
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// expected-error@below {{Test iterating `uint64_t`: 10, 11, 12, 13, 14}}
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// expected-error@below {{Test iterating `APInt`: 10, 11, 12, 13, 14}}
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// expected-error@below {{Test iterating `IntegerAttr`: 10 : i64, 11 : i64, 12 : i64, 13 : i64, 14 : i64}}
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arith.constant #test.i64_elements<[10, 11, 12, 13, 14]> : tensor<5xi64>
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// expected-error@below {{Test iterating `int64_t`: 10, 11, 12, 13, 14}}
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// expected-error@below {{Test iterating `uint64_t`: 10, 11, 12, 13, 14}}
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// expected-error@below {{Test iterating `APInt`: 10, 11, 12, 13, 14}}
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// expected-error@below {{Test iterating `IntegerAttr`: 10 : i64, 11 : i64, 12 : i64, 13 : i64, 14 : i64}}
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arith.constant dense<[10, 11, 12, 13, 14]> : tensor<5xi64>
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// This test is expected to only be called on integer elements.
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// expected-error@below {{Test iterating `int64_t`: expected element type to be an integer type}}
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// expected-error@below {{Test iterating `uint64_t`: expected element type to be an integer type}}
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// expected-error@below {{Test iterating `APInt`: expected element type to be an integer type}}
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// expected-error@below {{Test iterating `IntegerAttr`: expected element type to be an integer type}}
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arith.constant dense<[1.1, 1.2, 1.3]> : tensor<3xf32>
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// Check that we don't crash on empty element attributes.
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// expected-error@below {{Test iterating `int64_t`: }}
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// expected-error@below {{Test iterating `uint64_t`: }}
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// expected-error@below {{Test iterating `APInt`: }}
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// expected-error@below {{Test iterating `IntegerAttr`: }}
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arith.constant dense<> : tensor<0xi64>
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// Check that we handle an external constant parsed from the config.
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// expected-error@below {{Test iterating `int64_t`: unable to iterate type}}
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// expected-error@below {{Test iterating `uint64_t`: 1, 2, 3}}
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// expected-error@below {{Test iterating `APInt`: unable to iterate type}}
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// expected-error@below {{Test iterating `IntegerAttr`: unable to iterate type}}
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arith.constant #test.e1di64_elements<blob1> : tensor<3xi64>
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{-#
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dialect_resources: {
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test: {
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blob1: "0x08000000010000000000000002000000000000000300000000000000"
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}
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}
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#-}
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// expected-error@below {{Test iterating `int64_t`: 0, 0, 1}}
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// expected-error@below {{Test iterating `uint64_t`: 0, 0, 1}}
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// expected-error@below {{Test iterating `APInt`: 0, 0, 1}}
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// expected-error@below {{Test iterating `IntegerAttr`: 0 : i64, 0 : i64, 1 : i64}}
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arith.constant sparse<[[0, 0, 2]], 1> : vector <1x1x3xi64>
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