mirror of https://github.com/llvm/torch-mlir
50 lines
1.6 KiB
MLIR
50 lines
1.6 KiB
MLIR
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// RUN: npcomp-opt -split-input-file -verify-diagnostics %s
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func @numeric_constant_string_attr() {
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// expected-error @+1 {{op requires 'value' to be an integer constant}}
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%0 = "basicpy.numeric_constant"() {value="somestring" : i32} : () -> (i32)
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return
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}
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// -----
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func @numeric_constant_bool() {
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// expected-error @+1 {{cannot have an i1 type}}
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%0 = "basicpy.numeric_constant"() {value = true} : () -> (i1)
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return
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}
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// -----
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func @numeric_constant_mismatch_int() {
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// expected-error @+1 {{op requires 'value' to be a floating point constant}}
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%0 = "basicpy.numeric_constant"() {value = 1 : i32} : () -> (f64)
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return
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}
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// -----
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func @numeric_constant_mismatch_float() {
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// expected-error @+1 {{op requires 'value' to be an integer constant}}
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%0 = "basicpy.numeric_constant"() {value = 1.0 : f32} : () -> (i32)
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return
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}
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// -----
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func @numeric_constant_complex_wrong_arity() {
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// expected-error @+1 {{op requires 'value' to be a two element array of floating point complex number components}}
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%3 = basicpy.numeric_constant [2.0 : f32] : complex<f32>
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return
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}
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// -----
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func @numeric_constant_complex_mismatch_type_real() {
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// expected-error @+1 {{op requires 'value' to be a two element array of floating point complex number components}}
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%3 = basicpy.numeric_constant [2.0 : f64, 3.0 : f32] : complex<f32>
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return
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}
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// -----
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func @numeric_constant_complex_mismatch_type_imag() {
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// expected-error @+1 {{op requires 'value' to be a two element array of floating point complex number components}}
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%3 = basicpy.numeric_constant [2.0 : f32, 3.0 : f16] : complex<f32>
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return
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}
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