mehrdadh commented on code in PR #11559: URL: https://github.com/apache/tvm/pull/11559#discussion_r906255281
########## tests/python/contrib/test_hexagon/test_softmax_slice.py: ########## @@ -0,0 +1,140 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +import pytest +import numpy as np +from tvm import te, topi + +import tvm.testing +from tvm.topi import testing +from tvm.contrib.hexagon.build import HexagonLauncher + +import tvm.topi.hexagon.slice_ops as sl +from .infrastructure import allocate_hexagon_array + + +def transform_numpy(arr_np, layout): + + if layout in ["nc-512c-2d"]: + N, C = arr_np.shape + return arr_np.reshape([N, C // 512, 512]) + raise RuntimeError(f"Unexpected layout '{layout}'") + + [email protected] +def input_np(input_shape, dtype): + return (np.random.uniform(size=input_shape)).astype(dtype) + + [email protected] +def transformed_expected_output_np(expected_output_np, output_layout): + return transform_numpy(expected_output_np, output_layout) + + [email protected] +def transformed_input_np(input_np, input_layout): + return transform_numpy(input_np, input_layout) + + +class Basesoftmax2d: + + input_shape, input_layout, output_layout, axis_sep = tvm.testing.parameters( + ((1, 1024), "nc-512c-2d", "nc-512c-2d", [2]) + ) + dtype = tvm.testing.parameter("float32") + working_scope = tvm.testing.parameter("global.vtcm") + + +class TestSoftmax2d(Basesoftmax2d): + @tvm.testing.fixture + def expected_output_np(self, input_np): + if len(input_np.shape) == 2: + ref_np_2d = tvm.topi.testing.softmax_python(input_np) + return ref_np_2d + raise RuntimeError(f"Unexpected input shape '{input_np.shape}'") + + @tvm.testing.requires_hexagon + def test_softmax_f32( + self, + dtype, + input_layout, + output_layout, + input_shape, + input_np, + transformed_input_np, + transformed_expected_output_np, + expected_output_np, + working_scope, + axis_sep, + hexagon_session, + ): + + target_hexagon = tvm.target.hexagon( + "v69", + llvm_options="--disable-loop-unrolling-pass", + ) + A = te.placeholder(input_shape, name="A", dtype=dtype) + + O = sl.softmax_compute(A) + + if input_layout == "nc-512c-2d": + tir_s = sl.softmax_stir_schedule(O, A, output_layout, input_layout) + sch = tir_s.mod + else: + raise RuntimeError(f"Unexpected input layout '{input_layout}'") + + with tvm.transform.PassContext( + opt_level=3, + config={ + "tir.LoopPartition": {"partition_const_loop": True}, + }, + ): + + func = tvm.build( + sch, + [A, O], + tvm.target.Target(target_hexagon, host=target_hexagon), + name="softmax_slice", + ) + + input_arr = allocate_hexagon_array( + hexagon_session.device, + data=transformed_input_np, + axis_separators=axis_sep, + mem_scope=working_scope, + ) + + output_arr = allocate_hexagon_array( + hexagon_session.device, + tensor_shape=transformed_expected_output_np.shape, + dtype=transformed_expected_output_np.dtype, + axis_separators=axis_sep, + mem_scope=working_scope, + ) + + mod = hexagon_session.load_module(func) + mod(input_arr, output_arr) + + n, c = input_np.shape + output_np = output_arr.numpy().reshape(1, c // 512, 512) + + np.testing.assert_allclose(output_np, transformed_expected_output_np, rtol=1e-4, atol=1e-4) + + +if __name__ == "__main__": + + sys.exit(pytest.main(sys.argv)) Review Comment: we can do this in a follow up: 1. remove the new line 2. replace `sys.exit(pytest.main(sys.argv))` `with tvm.testing.main()` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
