wehub-resource-sync
139 lines
4.1 KiB
Python
139 lines
4.1 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from collections import defaultdict
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import numpy as np
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import paddle
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JIT_KERNEL_NAME = "jit_kernel"
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__IF_OP_NAME = "pd_op.if"
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__WHILE_OP_NAME = "pd_op.while"
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def unittest_use_cinn():
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use_cinn = os.getenv("FLAGS_pd_unittest_use_cinn", False)
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true_value_set = {True, 1, "1", "True", "true"}
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false_value_set = {False, 0, "0", "False", "false"}
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assert use_cinn in (true_value_set | false_value_set)
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return use_cinn in true_value_set
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def apply_to_static(net, use_cinn, input_spec=None):
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backend = "CINN" if use_cinn else None
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return paddle.jit.to_static(
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net,
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input_spec=input_spec,
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backend=backend,
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full_graph=True,
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)
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def get_pir_program(static_fn):
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assert hasattr(static_fn, "program_cache")
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runnable_program = static_fn.program_cache.last()[1][1].program
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return runnable_program.forward_program
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def get_jit_kernel_number(block):
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jit_kernel_number = 0
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for op in block.ops:
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op_name = op.name()
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if JIT_KERNEL_NAME in op_name:
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jit_kernel_number += 1
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elif op_name == __IF_OP_NAME:
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jit_kernel_number = (
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jit_kernel_number
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+ get_jit_kernel_number(op.as_if_op().true_block())
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+ get_jit_kernel_number(op.as_if_op().false_block())
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)
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return jit_kernel_number
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def check_jit_kernel_number(static_fn, expected_number):
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"""
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Check whether total number of JIT_KERNEL_NAME in Program
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is equal to expected_number.
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"""
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program = get_pir_program(static_fn)
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jit_kernel_number = get_jit_kernel_number(program.global_block())
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np.testing.assert_equal(jit_kernel_number, expected_number)
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def get_jit_kernel_structure_helper(block, map_info, if_op_idx='_0'):
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"""
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Recursively generate JIT_KERNEL map_info for Static/Dynamic Shape UT.
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"""
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if_count = 0
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for op in block.ops:
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op_name = op.name()
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if JIT_KERNEL_NAME in op_name:
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if JIT_KERNEL_NAME not in map_info:
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map_info[JIT_KERNEL_NAME] = 0
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map_info[JIT_KERNEL_NAME] += 1
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elif op_name == __IF_OP_NAME:
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true_key = f"if{if_op_idx}"
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false_key = f"else{if_op_idx}"
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map_info[true_key] = {}
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map_info[false_key] = {}
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get_jit_kernel_structure_helper(
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op.as_if_op().true_block(),
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map_info[true_key],
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if_op_idx + '_' + str(if_count),
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)
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get_jit_kernel_structure_helper(
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op.as_if_op().false_block(),
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map_info[false_key],
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if_op_idx + '_' + str(if_count),
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)
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if_count += 1
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def get_jit_kernel_structure(static_fn):
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program = get_pir_program(static_fn)
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map_info = defaultdict(int)
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get_jit_kernel_structure_helper(program.global_block(), map_info)
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return dict(map_info)
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def check_jit_kernel_structure(static_fn, expected_structure):
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"""
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Check whether fuse subgraph structure in Program is same with expected_structure.
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For examaple:
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expected_structure = {
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JIT_KERNEL_NAME: 3,
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"if_0": {
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JIT_KERNEL_NAME: 1
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}
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"else_0": {
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JIT_KERNEL_NAME: 1
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}
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"if_1": {
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JIT_KERNEL_NAME: 0
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}
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"else_1": {
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JIT_KERNEL_NAME: 0
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}
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"while_0":{
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JIT_KERNEL_NAME: 2
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}
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}
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"""
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map_info = get_jit_kernel_structure(static_fn)
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np.testing.assert_equal(map_info, expected_structure)
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