chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,800 @@
|
||||
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
|
||||
#
|
||||
# Licensed 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 unittest
|
||||
|
||||
from paddle.distributed.auto_parallel.static.dist_attribute import (
|
||||
DistTensorSpec,
|
||||
TensorDistAttr,
|
||||
)
|
||||
from paddle.distributed.fleet import auto
|
||||
from paddle.framework import core
|
||||
|
||||
|
||||
class TestElementwiseSPMDRule(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.unary_rule = core.get_phi_spmd_rule("relu")
|
||||
self.binary_rule = core.get_phi_spmd_rule("add")
|
||||
|
||||
x_shape = [64, 36]
|
||||
y_shape = [64, 36]
|
||||
process_mesh = auto.ProcessMesh(mesh=[0, 1, 2, 3])
|
||||
|
||||
x_tensor_dist_attr = TensorDistAttr()
|
||||
x_tensor_dist_attr.dims_mapping = [1, 0]
|
||||
x_tensor_dist_attr.process_mesh = process_mesh
|
||||
self.x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
||||
|
||||
y_tensor_dist_attr = TensorDistAttr()
|
||||
y_tensor_dist_attr.dims_mapping = [0, -1]
|
||||
y_tensor_dist_attr.process_mesh = process_mesh
|
||||
self.y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
||||
|
||||
self.out_dist_tensor_spec = DistTensorSpec(self.x_dist_tensor_spec)
|
||||
|
||||
self.attrs = []
|
||||
|
||||
def test_single_mesh_dim(self):
|
||||
# [0, -1], [-1, -1] --> [0, -1], [0, -1], [0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
result_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
# [0, -1], [-1, 0] --> [0, -1], [0, -1], [0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
result_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
# [-1, -1], [-1, -1] --> [-1, -1], [-1, -1], [-1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
|
||||
result_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, -1])
|
||||
|
||||
# [-1, 0]--> [-1, 0], [-1, 0]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
|
||||
result_dist_attrs = self.unary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
|
||||
def test_single_mesh_dim_broadcast(self):
|
||||
self.x_dist_tensor_spec.shape = [64, 36, 12]
|
||||
self.y_dist_tensor_spec.shape = [12]
|
||||
|
||||
# [0, -1, -1], [-1] --> [0, -1, -1], [-1], [0, -1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1]
|
||||
)
|
||||
|
||||
# [-1, 0, -1], [-1] --> [-1, 0, -1], [-1], [-1, 0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
||||
self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [-1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
||||
)
|
||||
|
||||
# [-1, -1, 0], [-1] --> [-1, -1, 0], [0], [-1, -1, 0]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, -1, 0])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0])
|
||||
self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [0])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0]
|
||||
)
|
||||
|
||||
# [-1, -1, -1], [0] --> [-1, -1, 0], [0], [-1, -1, 0]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([0])
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0]
|
||||
)
|
||||
|
||||
self.x_dist_tensor_spec.shape = [64, 36, 12]
|
||||
self.y_dist_tensor_spec.shape = [1, 12]
|
||||
# [-1, 0, -1], [-1, -1] --> [-1, 0, -1], [-1, -1], [-1, 0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
||||
)
|
||||
|
||||
self.x_dist_tensor_spec.shape = [64, 1, 1, 12]
|
||||
self.y_dist_tensor_spec.shape = [64, 32, 12]
|
||||
# [0, -1, -1, -1], [-1, -1, -1] --> [0, -1, -1, -1], [-1, -1, -1], [0, -1, -1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
||||
)
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[1].dims_mapping, [-1, -1, -1]
|
||||
)
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
||||
)
|
||||
|
||||
# [-1, -1, -1, -1], [0, -1, -1] --> [-1, -1, -1, -1], [0, -1, -1], [-1, 0, -1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([0, -1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, -1]
|
||||
)
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1, -1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, -0, -1, -1]
|
||||
)
|
||||
|
||||
def test_multi_mesh_dim(self):
|
||||
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
||||
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.y_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.x_dist_tensor_spec.shape = [96, 24, 48]
|
||||
self.y_dist_tensor_spec.shape = [96, 24, 48]
|
||||
|
||||
# [0, 1, -1], [-1, -1, -1] --> [0, 1, -1], [0, 1, -1], [0, 1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
|
||||
# [0, -1, -1], [-1, 1, 0] --> [0, 1, -1], [0, 1, -1], [0, 1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, 1, 0])
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
|
||||
def test_multi_mesh_dim_broadcast(self):
|
||||
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
||||
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.y_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.x_dist_tensor_spec.shape = [96, 24, 48]
|
||||
self.y_dist_tensor_spec.shape = [48]
|
||||
|
||||
# [0, -1, -1], [1] --> [0, -1, 1], [1], [0, -1, 1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
|
||||
|
||||
# [0, 1, -1], [0] --> [0, 1, -1], [-1], [0, 1, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([0])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
|
||||
self.x_dist_tensor_spec.shape = [96, 1, 1, 48]
|
||||
self.y_dist_tensor_spec.shape = [96, 24, 48]
|
||||
# [-1, -1, -1, 1], [0, -1, 1] --> [-1, -1, -1, 1], [0, -1, 1], [-1, 0, -1, 1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1, 1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([0, -1, 1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, 1]
|
||||
)
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1, 1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1, 1]
|
||||
)
|
||||
|
||||
def test_backward_single_mesh_dim(self):
|
||||
# [0, -1] --> [0, -1], [0, -1], [0, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
result_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
# [-1, -1] --> [-1, -1], [-1, -1], [-1, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
|
||||
result_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, -1])
|
||||
|
||||
# [-1, 0]--> [-1, 0], [-1, 0] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
|
||||
result_dist_attrs = self.unary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec, self.out_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
|
||||
def test_backward_single_mesh_dim_broadcast(self):
|
||||
self.x_dist_tensor_spec.shape = [64, 36, 12]
|
||||
self.y_dist_tensor_spec.shape = [12]
|
||||
self.out_dist_tensor_spec.shape = [64, 36, 12]
|
||||
|
||||
# [0, -1, -1] --> [0, -1, -1], [-1], [0, -1, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([0, -1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1]
|
||||
)
|
||||
|
||||
# [-1, 0, -1] --> [-1, 0, -1], [-1], [-1, 0, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
||||
self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [-1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
||||
)
|
||||
|
||||
# [-1, -1, 0] --> [-1, -1, 0], [0], [-1, -1, 0] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, -1, 0])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0])
|
||||
self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [0])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0]
|
||||
)
|
||||
|
||||
self.x_dist_tensor_spec.shape = [64, 36, 12]
|
||||
self.y_dist_tensor_spec.shape = [1, 12]
|
||||
self.out_dist_tensor_spec.shape = [64, 36, 12]
|
||||
# [-1, 0, -1] --> [-1, 0, -1], [-1, -1], [-1, 0, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
||||
)
|
||||
|
||||
self.x_dist_tensor_spec.shape = [64, 1, 1, 12]
|
||||
self.y_dist_tensor_spec.shape = [64, 32, 12]
|
||||
self.out_dist_tensor_spec.shape = [64, 64, 32, 12]
|
||||
# [0, -1, -1, -1] --> [0, -1, -1, -1], [-1, -1, -1], [0, -1, -1, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([0, -1, -1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
||||
)
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[1].dims_mapping, [-1, -1, -1]
|
||||
)
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
||||
)
|
||||
|
||||
# [-1, 0, -1, -1] --> [-1, -1, -1, -1], [0, -1, -1], [-1, 0, -1, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, -1]
|
||||
)
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1, -1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, -0, -1, -1]
|
||||
)
|
||||
|
||||
def test_backward_multi_mesh_dim(self):
|
||||
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
||||
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.y_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.x_dist_tensor_spec.shape = [96, 24, 48]
|
||||
self.y_dist_tensor_spec.shape = [96, 24, 48]
|
||||
self.out_dist_tensor_spec.shape = [96, 24, 48]
|
||||
|
||||
# [0, 1, -1] --> [0, 1, -1], [0, 1, -1], [0, 1, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([0, 1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
|
||||
def test_backward_multi_mesh_dim_broadcast(self):
|
||||
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
||||
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.y_dist_tensor_spec.set_process_mesh(process_mesh)
|
||||
self.x_dist_tensor_spec.shape = [96, 24, 48]
|
||||
self.y_dist_tensor_spec.shape = [48]
|
||||
self.out_dist_tensor_spec.shape = [96, 24, 48]
|
||||
|
||||
# [0, -1, 1] --> [0, -1, 1], [1], [0, -1, 1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([0, -1, 1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
|
||||
|
||||
# [0, 1, -1] --> [0, 1, -1], [-1], [0, 1, -1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([0, 1, -1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
||||
|
||||
self.x_dist_tensor_spec.shape = [96, 1, 1, 48]
|
||||
self.y_dist_tensor_spec.shape = [96, 24, 48]
|
||||
self.out_dist_tensor_spec.shape = [96, 96, 24, 48]
|
||||
|
||||
# [-1, 0, -1, 1] --> [-1, -1, -1, 1], [0, -1, 1], [-1, 0, -1, 1] (output --> inputs, output)
|
||||
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1, 1])
|
||||
|
||||
resulted_dist_attrs = self.binary_rule.infer_backward(
|
||||
self.x_dist_tensor_spec,
|
||||
self.y_dist_tensor_spec,
|
||||
self.out_dist_tensor_spec,
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(
|
||||
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, 1]
|
||||
)
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1, 1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1, 1]
|
||||
)
|
||||
|
||||
def test_single_mesh_dim_greater_than(self):
|
||||
binary_rule = core.get_phi_spmd_rule("greater_than")
|
||||
# [0, -1], [-1, -1] --> [0, -1], [0, -1], [0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
result_dist_attrs = binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
self.assertEqual(len(result_dist_attrs), 2)
|
||||
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
# [0, -1], [-1, 0] --> [0, -1], [0, -1], [0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
result_dist_attrs = binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
self.assertEqual(len(result_dist_attrs), 2)
|
||||
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
def test_single_mesh_dim_broadcast_greater_than(self):
|
||||
binary_rule = core.get_phi_spmd_rule("greater_than")
|
||||
self.x_dist_tensor_spec.shape = [1, 64]
|
||||
self.y_dist_tensor_spec.shape = [64]
|
||||
|
||||
# [-1, 0], [-1] --> [-1, 0], [0], [-1, 0]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
||||
|
||||
resulted_dist_attrs = binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
|
||||
def test_single_mesh_dim_less_than(self):
|
||||
binary_rule = core.get_phi_spmd_rule("less_than")
|
||||
# [0, -1], [-1, -1] --> [0, -1], [0, -1], [0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
||||
result_dist_attrs = binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
self.assertEqual(len(result_dist_attrs), 2)
|
||||
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
# [0, -1], [-1, 0] --> [0, -1], [0, -1], [0, -1]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
result_dist_attrs = binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = result_dist_attrs[0]
|
||||
inferred_output_dist_attrs = result_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
||||
|
||||
def test_single_mesh_dim_broadcast_less_than(self):
|
||||
binary_rule = core.get_phi_spmd_rule("less_than")
|
||||
self.x_dist_tensor_spec.shape = [1, 64]
|
||||
self.y_dist_tensor_spec.shape = [64]
|
||||
|
||||
# [-1, 0], [-1] --> [-1, 0], [0], [-1, 0]
|
||||
self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
|
||||
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
||||
|
||||
resulted_dist_attrs = binary_rule.infer_forward(
|
||||
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
||||
)
|
||||
|
||||
self.assertEqual(len(resulted_dist_attrs), 2)
|
||||
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
||||
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
||||
|
||||
def test_multi_mesh_dim_with_partial(self):
|
||||
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
||||
self.multiply_rule = core.get_phi_spmd_rule("multiply")
|
||||
x_shape = [96, 24, 48]
|
||||
y_shape = [24, 48]
|
||||
|
||||
# [0, -1, -1] partial_dim=[1], [-1, 1] --> [0, -1, 1] partial_dim=[], [-1, 1], [0, -1, 1] partial_dim=[]
|
||||
x_tensor_dist_attr = TensorDistAttr()
|
||||
x_tensor_dist_attr.process_mesh = process_mesh
|
||||
x_tensor_dist_attr.dims_mapping = [0, -1, -1]
|
||||
x_tensor_dist_attr._set_partial_dims([1])
|
||||
x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
||||
|
||||
y_tensor_dist_attr = TensorDistAttr()
|
||||
y_tensor_dist_attr.process_mesh = process_mesh
|
||||
y_tensor_dist_attr.dims_mapping = [-1, 1]
|
||||
y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
||||
|
||||
resulted_dist_attrs = self.multiply_rule.infer_forward(
|
||||
x_dist_tensor_spec, y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, 1])
|
||||
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0]._is_partial(), False)
|
||||
self.assertEqual(inferred_input_dist_attrs[1]._is_partial(), False)
|
||||
self.assertEqual(inferred_output_dist_attrs[0]._is_partial(), False)
|
||||
|
||||
# [-1, -1, -1], [-1, 1] partial_dim=[0] --> [-1, -1, 1], [-1, 1] partial_dim=[0], [-1, -1, 1] partial_dim=[0]
|
||||
x_tensor_dist_attr = TensorDistAttr()
|
||||
x_tensor_dist_attr.process_mesh = process_mesh
|
||||
x_tensor_dist_attr.dims_mapping = [-1, -1, -1]
|
||||
x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
||||
|
||||
y_tensor_dist_attr = TensorDistAttr()
|
||||
y_tensor_dist_attr.process_mesh = process_mesh
|
||||
y_tensor_dist_attr.dims_mapping = [-1, 1]
|
||||
y_tensor_dist_attr._set_partial_dims([0])
|
||||
y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
||||
|
||||
resulted_dist_attrs = self.multiply_rule.infer_forward(
|
||||
x_dist_tensor_spec, y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, 1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 1]
|
||||
)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0]._is_partial(), False)
|
||||
self.assertEqual(inferred_input_dist_attrs[1]._is_partial(), True)
|
||||
self.assertEqual(inferred_input_dist_attrs[1]._partial_dims(), {0})
|
||||
self.assertEqual(inferred_output_dist_attrs[0]._is_partial(), True)
|
||||
self.assertEqual(inferred_output_dist_attrs[0]._partial_dims(), {0})
|
||||
|
||||
# [-1, 0, -1] partial_dim=[1], [-1, 0] partial_dim=[1] --> [-1, 0, -1] partial_dim=[1], [0, -1] partial_dim=[], [-1, 0, -1] partial_dim=[1]
|
||||
x_tensor_dist_attr = TensorDistAttr()
|
||||
x_tensor_dist_attr.process_mesh = process_mesh
|
||||
x_tensor_dist_attr.dims_mapping = [-1, 0, -1]
|
||||
x_tensor_dist_attr._set_partial_dims([1])
|
||||
x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
||||
|
||||
y_tensor_dist_attr = TensorDistAttr()
|
||||
y_tensor_dist_attr.process_mesh = process_mesh
|
||||
y_tensor_dist_attr.dims_mapping = [-1, 0]
|
||||
y_tensor_dist_attr._set_partial_dims([1])
|
||||
y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
||||
|
||||
resulted_dist_attrs = self.multiply_rule.infer_forward(
|
||||
x_dist_tensor_spec, y_dist_tensor_spec
|
||||
)
|
||||
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
||||
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
||||
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
||||
self.assertEqual(
|
||||
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
||||
)
|
||||
|
||||
self.assertEqual(inferred_input_dist_attrs[0]._is_partial(), True)
|
||||
self.assertEqual(inferred_input_dist_attrs[0]._partial_dims(), {1})
|
||||
self.assertEqual(inferred_input_dist_attrs[1]._is_partial(), False)
|
||||
self.assertEqual(inferred_output_dist_attrs[0]._is_partial(), True)
|
||||
self.assertEqual(inferred_output_dist_attrs[0]._partial_dims(), {1})
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user