mirror of https://github.com/llvm/torch-mlir
19 lines
735 B
Python
19 lines
735 B
Python
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# RUN: %PYTHON %s | npcomp-opt -split-input-file | FileCheck %s --dump-input=fail
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import numpy as np
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from npcomp.compiler import test_config
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import_global = test_config.create_import_dump_decorator()
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global_data = (np.zeros((2, 3)) + [1.0, 2.0, 3.0] * np.reshape([1.0, 2.0],
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(2, 1)))
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# CHECK-LABEL: func @global_array_to_const
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@import_global
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def global_array_to_const():
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# CHECK: %[[CST:.*]] = constant dense<{{\[\[}}1.000000e+00, 2.000000e+00, 3.000000e+00], [2.000000e+00, 4.000000e+00, 6.000000e+00]]> : tensor<2x3xf64>
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# CHECK: numpy.create_array_from_tensor %[[CST]] : (tensor<2x3xf64>) -> !numpy.ndarray<f64>
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local_data = global_data
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return local_data
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