wehub-resource-sync
675 lines
20 KiB
Python
675 lines
20 KiB
Python
# Copyright (c) 2025 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 unittest
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from paddle.distributed.flex_checkpoint.aoa.aoa_engine import (
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AOAEngine,
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ShardedWeightDesc,
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ShardMappingEntry,
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)
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class TestAOAEngineTransposeCast(unittest.TestCase):
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def setUp(self):
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self.setup_statements()
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self.aoa_engine = AOAEngine(
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aoa_config={"aoa_statements": self.aoa_statements},
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source_state_shard_info=self.source_state_shard_info,
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destination_state_shard_info=self.destination_state_shard_info,
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)
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self.generate_query_answer()
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def setup_statements(self):
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s0 = ShardedWeightDesc(
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key="s0",
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local_shape=(2, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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s1 = ShardedWeightDesc(
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key="s1",
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local_shape=(2, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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d0 = ShardedWeightDesc(
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key="d0",
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local_shape=(4, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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d1 = ShardedWeightDesc(
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key="d1",
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local_shape=(4, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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self.source_state_shard_info = {
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"s0": [s0],
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"s1": [s1],
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}
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self.destination_state_shard_info = {
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"d0": [d0],
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"d1": [d1],
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}
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self.aoa_statements = [
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"s0, s1 -> s, axis = 1 \n",
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"s -> s, dtype = 'float32'\n",
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"s^T -> d\n",
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"d -> d0, d1, axis = 1",
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]
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def generate_query_answer(self):
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self.queries = []
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self.answers = []
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# ======================================================
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# Query 1:
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query = ShardedWeightDesc(
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key="d0",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(2, 0),
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)
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src_sharded_weight_desc = ShardedWeightDesc(
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key="s1",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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shard_mapping_entry = ShardMappingEntry(
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target_slice=query,
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source_slice=src_sharded_weight_desc,
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postprocess_list=["float32", "[1, 0]"],
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)
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answer = [shard_mapping_entry]
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self.queries.append(query)
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self.answers.append(answer)
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# ======================================================
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# Query 2:
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query = ShardedWeightDesc(
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key="d1",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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src_sharded_weight_desc = ShardedWeightDesc(
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key="s0",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(1, 0),
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)
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shard_mapping_entry = ShardMappingEntry(
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target_slice=query,
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source_slice=src_sharded_weight_desc,
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postprocess_list=["float32", "[1, 0]"],
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)
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answer = [shard_mapping_entry]
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self.queries.append(query)
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self.answers.append(answer)
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# ======================================================
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# Query 3:
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query = ShardedWeightDesc(
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key="d1",
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local_shape=(4, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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# d1[0:2, :] <--- s0[1, :]^T
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src_sharded_weight_desc0 = ShardedWeightDesc(
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key="s0",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(1, 0),
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)
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dst_sharded_weight_desc0 = ShardedWeightDesc(
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key="d1",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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# d1[2:4, :] <--- s1[1, :]^T
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src_sharded_weight_desc1 = ShardedWeightDesc(
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key="s1",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(1, 0),
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)
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dst_sharded_weight_desc1 = ShardedWeightDesc(
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key="d1",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(2, 0),
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)
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shard_mapping_entry0 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc0,
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source_slice=src_sharded_weight_desc0,
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postprocess_list=["float32", "[1, 0]"],
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)
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shard_mapping_entry1 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc1,
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source_slice=src_sharded_weight_desc1,
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postprocess_list=["float32", "[1, 0]"],
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)
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answer = [shard_mapping_entry0, shard_mapping_entry1]
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self.queries.append(query)
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self.answers.append(answer)
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def test_transpose(self):
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for idx in range(len(self.queries)):
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query = self.queries[idx]
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answer = self.answers[idx]
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result = self.aoa_engine.find_shard_sources(query)
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self.assertEqual(result, answer)
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class TestAOAEngineTransposeCast2(TestAOAEngineTransposeCast):
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def setup_statements(self):
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s0 = ShardedWeightDesc(
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key="s0",
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local_shape=(4, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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s1 = ShardedWeightDesc(
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key="s1",
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local_shape=(4, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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d0 = ShardedWeightDesc(
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key="d0",
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local_shape=(2, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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d1 = ShardedWeightDesc(
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key="d1",
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local_shape=(2, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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self.source_state_shard_info = {
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"s0": [s0],
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"s1": [s1],
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}
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self.destination_state_shard_info = {
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"d0": [d0],
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"d1": [d1],
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}
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self.aoa_statements = [
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"s0^T -> s0\n",
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"s1^T -> s1\n",
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"s0, s1 -> s, axis = 0\n",
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"s -> s, dtype = 'float16'\n",
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"s -> d0, d1, axis = 1",
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]
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def generate_query_answer(self):
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self.queries = []
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self.answers = []
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# ======================================================
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# Query 1:
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query = ShardedWeightDesc(
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key="d0",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(1, 0),
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)
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src_sharded_weight_desc = ShardedWeightDesc(
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key="s1",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(0, 0),
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)
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shard_mapping_entry = ShardMappingEntry(
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target_slice=query,
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source_slice=src_sharded_weight_desc,
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postprocess_list=["[1, 0]", "float16"],
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)
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answer = [shard_mapping_entry]
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self.queries.append(query)
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self.answers.append(answer)
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# ======================================================
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# Query 2:
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query = ShardedWeightDesc(
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key="d1",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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src_sharded_weight_desc = ShardedWeightDesc(
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key="s0",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(2, 0),
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)
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shard_mapping_entry = ShardMappingEntry(
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target_slice=query,
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source_slice=src_sharded_weight_desc,
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postprocess_list=["[1, 0]", "float16"],
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)
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answer = [shard_mapping_entry]
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self.queries.append(query)
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self.answers.append(answer)
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# ======================================================
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# Query 3:
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query = ShardedWeightDesc(
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key="d1",
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local_shape=(2, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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# d1[0:1, :] <--- s0[2:4, :]^T
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src_sharded_weight_desc0 = ShardedWeightDesc(
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key="s0",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(2, 0),
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)
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dst_sharded_weight_desc0 = ShardedWeightDesc(
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key="d1",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(0, 0),
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)
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# d1[1:2, :] <--- s1[2:4, :]^T
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src_sharded_weight_desc1 = ShardedWeightDesc(
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key="s1",
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local_shape=(2, 1),
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global_shape=(4, 1),
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global_offset=(2, 0),
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)
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dst_sharded_weight_desc1 = ShardedWeightDesc(
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key="d1",
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local_shape=(1, 2),
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global_shape=(2, 2),
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global_offset=(1, 0),
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)
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shard_mapping_entry0 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc0,
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source_slice=src_sharded_weight_desc0,
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postprocess_list=["[1, 0]", "float16"],
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)
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shard_mapping_entry1 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc1,
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source_slice=src_sharded_weight_desc1,
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postprocess_list=["[1, 0]", "float16"],
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)
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answer = [shard_mapping_entry0, shard_mapping_entry1]
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self.queries.append(query)
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self.answers.append(answer)
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class TestAOAEngineTransposeCast3(TestAOAEngineTransposeCast):
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def setup_statements(self):
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s0 = ShardedWeightDesc(
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key="s0",
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local_shape=(3, 4),
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global_shape=(3, 4),
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global_offset=(0, 0),
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)
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d0 = ShardedWeightDesc(
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key="d0",
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local_shape=(1, 6),
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global_shape=(1, 6),
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global_offset=(0, 0),
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)
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d1 = ShardedWeightDesc(
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key="d1",
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local_shape=(6, 1),
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global_shape=(6, 1),
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global_offset=(0, 0),
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)
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self.source_state_shard_info = {
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"s0": [s0],
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}
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self.destination_state_shard_info = {
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"d0": [d0],
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"d1": [d1],
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}
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self.aoa_statements = [
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"s0 -> a1, a2, a3, a4, axis = 1\n",
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"a2^T -> b2\n",
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"a3^T -> b3\n",
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"b2, b3 -> d0, axis = 1\n",
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"a3, a4 -> d1, axis = 0\n",
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]
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def generate_query_answer(self):
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self.queries = []
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self.answers = []
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# ======================================================
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# Query 1:
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query = ShardedWeightDesc(
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key="d0",
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local_shape=(1, 6),
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global_shape=(1, 6),
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global_offset=(0, 0),
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)
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# d0[:, 0:3] <--- s0[:, 1:2]^T
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src_sharded_weight_desc0 = ShardedWeightDesc(
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key="s0",
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local_shape=(3, 1),
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global_shape=(3, 4),
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global_offset=(0, 1),
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)
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dst_sharded_weight_desc0 = ShardedWeightDesc(
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key="d0",
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local_shape=(1, 3),
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global_shape=(1, 6),
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global_offset=(0, 0),
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)
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# d0[:, 3:6] <--- s0[:, 2:3]^T
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src_sharded_weight_desc1 = ShardedWeightDesc(
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key="s0",
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local_shape=(3, 1),
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global_shape=(3, 4),
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global_offset=(0, 2),
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)
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dst_sharded_weight_desc1 = ShardedWeightDesc(
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key="d0",
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local_shape=(1, 3),
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global_shape=(1, 6),
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global_offset=(0, 3),
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)
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shard_mapping_entry0 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc0,
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source_slice=src_sharded_weight_desc0,
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postprocess_list=["[1, 0]"],
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)
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shard_mapping_entry1 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc1,
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source_slice=src_sharded_weight_desc1,
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postprocess_list=["[1, 0]"],
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)
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answer = [shard_mapping_entry0, shard_mapping_entry1]
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self.queries.append(query)
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self.answers.append(answer)
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# ======================================================
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# Query 2:
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query = ShardedWeightDesc(
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key="d1",
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local_shape=(6, 1),
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global_shape=(6, 1),
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global_offset=(0, 0),
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)
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# d1[0:3, :] <--- s0[:, 2:3]
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src_sharded_weight_desc0 = ShardedWeightDesc(
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key="s0",
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local_shape=(3, 1),
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global_shape=(3, 4),
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global_offset=(0, 2),
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)
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dst_sharded_weight_desc0 = ShardedWeightDesc(
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key="d1",
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local_shape=(3, 1),
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global_shape=(6, 1),
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global_offset=(0, 0),
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)
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# d1[3:6, :] <--- s0[:, 3:4]
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src_sharded_weight_desc1 = ShardedWeightDesc(
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key="s0",
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local_shape=(3, 1),
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global_shape=(3, 4),
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global_offset=(0, 3),
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)
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dst_sharded_weight_desc1 = ShardedWeightDesc(
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key="d1",
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local_shape=(3, 1),
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global_shape=(6, 1),
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global_offset=(3, 0),
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)
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shard_mapping_entry0 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc0,
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source_slice=src_sharded_weight_desc0,
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postprocess_list=None,
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)
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shard_mapping_entry1 = ShardMappingEntry(
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target_slice=dst_sharded_weight_desc1,
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source_slice=src_sharded_weight_desc1,
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postprocess_list=None,
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)
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answer = [shard_mapping_entry0, shard_mapping_entry1]
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self.queries.append(query)
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self.answers.append(answer)
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class TestAOAEngineTransposeCast4(TestAOAEngineTransposeCast):
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def setup_statements(self):
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s0 = ShardedWeightDesc(
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key="s0",
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local_shape=(4, 1, 3),
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global_shape=(4, 1, 3),
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global_offset=(0, 0, 0),
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)
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s1 = ShardedWeightDesc(
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key="s1",
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local_shape=(4, 1, 3),
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global_shape=(4, 1, 3),
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global_offset=(0, 0, 0),
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)
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d0 = ShardedWeightDesc(
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key="d0",
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local_shape=(1, 4, 4),
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global_shape=(1, 4, 4),
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global_offset=(0, 0, 0),
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)
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d1 = ShardedWeightDesc(
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key="d1",
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local_shape=(1, 4, 2),
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global_shape=(1, 4, 2),
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global_offset=(0, 0, 0),
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)
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self.source_state_shard_info = {
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"s0": [s0],
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"s1": [s1],
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}
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self.destination_state_shard_info = {
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"d0": [d0],
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"d1": [d1],
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}
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self.aoa_statements = [
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"s0, s1 -> s, axis = 1\n",
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"s -> s, dtype = 'bfloat16'\n",
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"s -> a, permute = '[2, 0, 1]'\n",
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"a -> b1, b2, b3, axis = 0\n",
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"b1 -> b1, permute = '[0, 2, 1]'\n",
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"b2 -> b2, permute = '[0, 2, 1]'\n",
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"b1, b2 -> d0, axis = 1\n",
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"b3 -> d1\n",
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"d1 -> d1, dtype = 'float32'",
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]
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def generate_query_answer(self):
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self.queries = []
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self.answers = []
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# ======================================================
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# Query 1:
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query = ShardedWeightDesc(
|
|
key="d0",
|
|
local_shape=(1, 4, 4),
|
|
global_shape=(1, 4, 4),
|
|
global_offset=(0, 0, 0),
|
|
)
|
|
# d0[:, 0:1, :] <--- s0[:, :, 0:1].transpose([2, 0, 1]).transpose([0, 2, 1])
|
|
src_sharded_weight_desc0 = ShardedWeightDesc(
|
|
key="s0",
|
|
local_shape=(4, 1, 1),
|
|
global_shape=(4, 1, 3),
|
|
global_offset=(0, 0, 0),
|
|
)
|
|
dst_sharded_weight_desc0 = ShardedWeightDesc(
|
|
key="d0",
|
|
local_shape=(1, 1, 4),
|
|
global_shape=(1, 4, 4),
|
|
global_offset=(0, 0, 0),
|
|
)
|
|
|
|
# d0[:, 1:2, :] <--- s1[:, :, 0:1].transpose([2, 0, 1]).transpose([0, 2, 1])
|
|
src_sharded_weight_desc1 = ShardedWeightDesc(
|
|
key="s1",
|
|
local_shape=(4, 1, 1),
|
|
global_shape=(4, 1, 3),
|
|
global_offset=(0, 0, 0),
|
|
)
|
|
dst_sharded_weight_desc1 = ShardedWeightDesc(
|
|
key="d0",
|
|
local_shape=(1, 1, 4),
|
|
global_shape=(1, 4, 4),
|
|
global_offset=(0, 1, 0),
|
|
)
|
|
|
|
# d0[:, 2:3, :] <--- s0[:, :, 1:2].transpose([2, 0, 1]).transpose([0, 2, 1])
|
|
src_sharded_weight_desc2 = ShardedWeightDesc(
|
|
key="s0",
|
|
local_shape=(4, 1, 1),
|
|
global_shape=(4, 1, 3),
|
|
global_offset=(0, 0, 1),
|
|
)
|
|
dst_sharded_weight_desc2 = ShardedWeightDesc(
|
|
key="d0",
|
|
local_shape=(1, 1, 4),
|
|
global_shape=(1, 4, 4),
|
|
global_offset=(0, 2, 0),
|
|
)
|
|
|
|
# d0[:, 3:4, :] <--- s1[:, :, 1:2].transpose([2, 0, 1]).transpose([0, 2, 1])
|
|
src_sharded_weight_desc3 = ShardedWeightDesc(
|
|
key="s1",
|
|
local_shape=(4, 1, 1),
|
|
global_shape=(4, 1, 3),
|
|
global_offset=(0, 0, 1),
|
|
)
|
|
dst_sharded_weight_desc3 = ShardedWeightDesc(
|
|
key="d0",
|
|
local_shape=(1, 1, 4),
|
|
global_shape=(1, 4, 4),
|
|
global_offset=(0, 3, 0),
|
|
)
|
|
|
|
shard_mapping_entry0 = ShardMappingEntry(
|
|
target_slice=dst_sharded_weight_desc0,
|
|
source_slice=src_sharded_weight_desc0,
|
|
postprocess_list=["bfloat16", "[2, 0, 1]", "[0, 2, 1]"],
|
|
)
|
|
shard_mapping_entry1 = ShardMappingEntry(
|
|
target_slice=dst_sharded_weight_desc1,
|
|
source_slice=src_sharded_weight_desc1,
|
|
postprocess_list=["bfloat16", "[2, 0, 1]", "[0, 2, 1]"],
|
|
)
|
|
shard_mapping_entry2 = ShardMappingEntry(
|
|
target_slice=dst_sharded_weight_desc2,
|
|
source_slice=src_sharded_weight_desc2,
|
|
postprocess_list=["bfloat16", "[2, 0, 1]", "[0, 2, 1]"],
|
|
)
|
|
shard_mapping_entry3 = ShardMappingEntry(
|
|
target_slice=dst_sharded_weight_desc3,
|
|
source_slice=src_sharded_weight_desc3,
|
|
postprocess_list=["bfloat16", "[2, 0, 1]", "[0, 2, 1]"],
|
|
)
|
|
answer = [
|
|
shard_mapping_entry0,
|
|
shard_mapping_entry1,
|
|
shard_mapping_entry2,
|
|
shard_mapping_entry3,
|
|
]
|
|
self.queries.append(query)
|
|
self.answers.append(answer)
|
|
|
|
# ======================================================
|
|
# Query 2:
|
|
query = ShardedWeightDesc(
|
|
key="d1",
|
|
local_shape=(1, 4, 2),
|
|
global_shape=(1, 4, 2),
|
|
global_offset=(0, 0, 0),
|
|
)
|
|
# d1[:, :, 0:1] <--- s0[:, :, 2:3].transpose([2, 0, 1])
|
|
src_sharded_weight_desc0 = ShardedWeightDesc(
|
|
key="s0",
|
|
local_shape=(4, 1, 1),
|
|
global_shape=(4, 1, 3),
|
|
global_offset=(0, 0, 2),
|
|
)
|
|
dst_sharded_weight_desc0 = ShardedWeightDesc(
|
|
key="d1",
|
|
local_shape=(1, 4, 1),
|
|
global_shape=(1, 4, 2),
|
|
global_offset=(0, 0, 0),
|
|
)
|
|
|
|
# d1[:, :, 1:2] <--- s1[:, :, 2:3].transpose([2, 0, 1])
|
|
src_sharded_weight_desc1 = ShardedWeightDesc(
|
|
key="s1",
|
|
local_shape=(4, 1, 1),
|
|
global_shape=(4, 1, 3),
|
|
global_offset=(0, 0, 2),
|
|
)
|
|
dst_sharded_weight_desc1 = ShardedWeightDesc(
|
|
key="d1",
|
|
local_shape=(1, 4, 1),
|
|
global_shape=(1, 4, 2),
|
|
global_offset=(0, 0, 1),
|
|
)
|
|
|
|
shard_mapping_entry0 = ShardMappingEntry(
|
|
target_slice=dst_sharded_weight_desc0,
|
|
source_slice=src_sharded_weight_desc0,
|
|
postprocess_list=["bfloat16", "[2, 0, 1]", "float32"],
|
|
)
|
|
shard_mapping_entry1 = ShardMappingEntry(
|
|
target_slice=dst_sharded_weight_desc1,
|
|
source_slice=src_sharded_weight_desc1,
|
|
postprocess_list=["bfloat16", "[2, 0, 1]", "float32"],
|
|
)
|
|
answer = [shard_mapping_entry0, shard_mapping_entry1]
|
|
self.queries.append(query)
|
|
self.answers.append(answer)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|