6bf043e743
This commit removes the deallocation capabilities of one-shot-bufferization. One-shot-bufferization should never deallocate any memrefs as this should be entirely handled by the ownership-based-buffer-deallocation pass going forward. This means the `allow-return-allocs` pass option will default to true now, `create-deallocs` defaults to false and they, as well as the escape attribute indicating whether a memref escapes the current region, will be removed. A new `allow-return-allocs-from-loops` option is added as a temporary workaround for some bufferization limitations.
25 lines
903 B
MLIR
25 lines
903 B
MLIR
// RUN: mlir-opt -one-shot-bufferize="bufferize-function-boundaries" -split-input-file %s -verify-diagnostics
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// expected-error @below{{failed to bufferize op}}
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// expected-error @below{{incoming operands of block argument have inconsistent memory spaces}}
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func.func @inconsistent_memory_space() -> tensor<5xf32> {
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%0 = bufferization.alloc_tensor() {memory_space = 0 : ui64} : tensor<5xf32>
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cf.br ^bb1(%0: tensor<5xf32>)
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^bb1(%arg1: tensor<5xf32>):
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func.return %arg1 : tensor<5xf32>
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^bb2():
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%1 = bufferization.alloc_tensor() {memory_space = 1 : ui64} : tensor<5xf32>
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cf.br ^bb1(%1: tensor<5xf32>)
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}
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// -----
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// expected-error @below{{failed to bufferize op}}
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// expected-error @below{{could not infer buffer type of block argument}}
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func.func @cannot_infer_type() {
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return
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// The type of the block argument cannot be inferred.
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^bb1(%t: tensor<5xf32>):
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cf.br ^bb1(%t: tensor<5xf32>)
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}
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