d9a2f89bee
This is a followup to D150330, split out because it's not purely mechanical. Depends On D150330 Reviewed By: aartbik Differential Revision: https://reviews.llvm.org/D150409
80 lines
3.3 KiB
MLIR
80 lines
3.3 KiB
MLIR
// RUN: mlir-opt %s -split-input-file -verify-diagnostics
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// expected-error@+1 {{expected a non-empty array for lvlTypes}}
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#a = #sparse_tensor.encoding<{lvlTypes = []}>
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func.func private @scalar(%arg0: tensor<f64, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"]}>
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func.func private @tensor_dimlevel_size_mismatch(%arg0: tensor<8xi32, #a>) -> () // expected-error {{expected an array of size 1 for lvlTypes}}
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// -----
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#a = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"], dimOrdering = affine_map<(i) -> (i)>}> // expected-error {{level-rank mismatch between dimOrdering and lvlTypes}}
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func.func private @tensor_sizes_mismatch(%arg0: tensor<8xi32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{lvlTypes = [1]}> // expected-error {{expected a string value in lvlTypes}}
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func.func private @tensor_type_mismatch(%arg0: tensor<8xi32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{lvlTypes = ["strange"]}> // expected-error {{unexpected level-type: strange}}
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func.func private @tensor_value_mismatch(%arg0: tensor<8xi32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{dimOrdering = "wrong"}> // expected-error {{expected an affine map for dimension ordering}}
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func.func private @tensor_dimorder_mismatch(%arg0: tensor<8xi32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{higherOrdering = "wrong"}> // expected-error {{expected an affine map for higher ordering}}
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func.func private @tensor_highorder_mismatch(%arg0: tensor<8xi32, #a>) -> ()
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// -----
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// expected-error@+1 {{expected a permutation affine map for dimension ordering}}
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#a = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"], dimOrdering = affine_map<(i,j) -> (i,i)>}>
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func.func private @tensor_no_permutation(%arg0: tensor<16x32xf32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{posWidth = "x"}> // expected-error {{expected an integral position bitwidth}}
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func.func private @tensor_no_int_ptr(%arg0: tensor<16x32xf32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{posWidth = 42}> // expected-error {{unexpected position bitwidth: 42}}
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func.func private @tensor_invalid_int_ptr(%arg0: tensor<16x32xf32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{crdWidth = "not really"}> // expected-error {{expected an integral index bitwidth}}
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func.func private @tensor_no_int_index(%arg0: tensor<16x32xf32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{crdWidth = 128}> // expected-error {{unexpected coordinate bitwidth: 128}}
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func.func private @tensor_invalid_int_index(%arg0: tensor<16x32xf32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{key = 1}> // expected-error {{unexpected key: key}}
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func.func private @tensor_invalid_key(%arg0: tensor<16x32xf32, #a>) -> ()
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// -----
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#a = #sparse_tensor.encoding<{lvlTypes = [ "compressed", "compressed", "dense", "dense" ], dimOrdering = affine_map<(ii, jj, i, j) -> (ii, jj, i, j)>, higherOrdering = affine_map<(i, j) -> (j, i)>}> // expected-error {{unexpected higher ordering mapping from 2 to 2}}
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func.func private @tensor_invalid_key(%arg0: tensor<10x60xf32, #a>) -> ()
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// -----
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#CSR_SLICE = #sparse_tensor.encoding<{
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lvlTypes = [ "dense", "compressed" ],
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slice = [ (-1, ?, 1), (?, 4, 2) ] // expected-error{{expect positive value or ? for slice offset/size/stride}}
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}>
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func.func private @sparse_slice(tensor<?x?xf64, #CSR_SLICE>)
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