0f2ec35691
The old replacements will be removed soon: - `%linalg_test_lib_dir` - `%cuda_wrapper_library_dir` - `%spirv_wrapper_library_dir` - `%vulkan_wrapper_library_dir` - `%mlir_runner_utils_dir` - `%mlir_integration_test_dir` Reviewed By: herhut Differential Revision: https://reviews.llvm.org/D133270
36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
# RUN: SUPPORTLIB=%mlir_lib_dir/libmlir_c_runner_utils%shlibext %PYTHON %s | FileCheck %s
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import filecmp
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import numpy as np
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import os
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import sys
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import tempfile
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_SCRIPT_PATH = os.path.dirname(os.path.abspath(__file__))
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sys.path.append(_SCRIPT_PATH)
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from tools import mlir_pytaco_api as pt
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from tools import testing_utils as utils
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# Define the CSR format.
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csr = pt.format([pt.dense, pt.compressed], [0, 1])
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# Read matrices A and B from file, infer size of output matrix C.
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A = pt.read(os.path.join(_SCRIPT_PATH, "data/A.mtx"), csr)
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B = pt.read(os.path.join(_SCRIPT_PATH, "data/B.mtx"), csr)
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C = pt.tensor([A.shape[0], B.shape[1]], csr)
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# Define the kernel.
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i, j, k = pt.get_index_vars(3)
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C[i, j] = A[i, k] * B[k, j]
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# Force evaluation of the kernel by writing out C.
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with tempfile.TemporaryDirectory() as test_dir:
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golden_file = os.path.join(_SCRIPT_PATH, "data/gold_C.tns")
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out_file = os.path.join(test_dir, "C.tns")
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pt.write(out_file, C)
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#
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# CHECK: Compare result True
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#
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print(f"Compare result {utils.compare_sparse_tns(golden_file, out_file)}")
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