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for pylint 3rd

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pull/1442/head
z00478463 5 years ago
parent 2d0ee05454
commit c59e6667f1
3 changed files with 23 additions and 28 deletions
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8
example/resnet50_imagenet2012_THOR/config.py
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@ -31,15 +31,7 @@ config = ed({
"save_checkpoint_steps": 5004,
"keep_checkpoint_max": 20,
"save_checkpoint_path": "./",
"lr_init": 0.01,
"lr_end": 0.00001,
"lr_max": 0.1,
"warmup_epochs": 0,
"lr_decay_mode": "cosine",
"label_smooth": 1,
"label_smooth_factor": 0.1,
"lr": 0.1,
"T_max": 90,
"eta_min": 0,
"frequency": 278
})

3
example/resnet50_imagenet2012_THOR/run_distribute_train.sh
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@ -45,8 +45,7 @@ do
mkdir ./train_parallel$i
cp *.py ./train_parallel$i
cp *.sh ./train_parallel$i
cp -r second_order ./train_parallel$i/second_order
cp -r test_ops ./train_parallel$i/test_ops
cp -r model ./train_parallel$i
cd ./train_parallel$i || exit
echo "start training for rank $RANK_ID, device $DEVICE_ID"

40
mindspore/ops/operations/thor_ops.py
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@ -16,7 +16,6 @@
import mindspore as ms
from mindspore.ops import prim_attr_register, PrimitiveWithInfer
from mindspore.ops.composite import multitype_ops as C
import numpy as np
__all__ = ["CusBatchMatMul",
"CusCholeskyTrsm",
@ -31,6 +30,7 @@ __all__ = ["CusBatchMatMul",
"CusMatMulCubeFraczLeftCast",
]
class CusBatchMatMul(PrimitiveWithInfer):
"""CusBatchMatMul definition"""
@ -38,7 +38,7 @@ class CusBatchMatMul(PrimitiveWithInfer):
def __init__(self):
"""init CusBatchMatMul"""
self.init_prim_io_names(inputs=['x1', 'x2'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.matrix_combine_impl import CusMatrixCombine
def get_bprop(self):
def bprop(x1, x2, out, dout):
return (C.zeros_like(x1), C.zeros_like(x2))
@ -59,7 +59,7 @@ class CusCholeskyTrsm(PrimitiveWithInfer):
def __init__(self):
"""init CusCholeskyTrsm"""
self.init_prim_io_names(inputs=['x1'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.cholesky_trsm_impl import CusCholeskyTrsm
def infer_shape(self, data1_shape):
ll = []
m, _ = data1_shape
@ -81,7 +81,7 @@ class CusFusedAbsMax1(PrimitiveWithInfer):
"""init CusFusedAbsMax1"""
self.init_prim_io_names(inputs=['x1'], outputs=['y'])
self.origin_shape = origin_shape
from mindspore.ops._op_impl._custom_op.fused_abs_max1_impl import CusFusedAbsMax1
def get_bprop(self):
def bprop(x, out, dout):
return (C.zeros_like(x),)
@ -91,7 +91,7 @@ class CusFusedAbsMax1(PrimitiveWithInfer):
def infer_shape(self, data1_shape):
ll = []
if len(data1_shape) == 2:
ll = [1,]
ll = [1, ]
else:
ll = [32, 64]
return ll
@ -111,7 +111,7 @@ class CusImg2Col(PrimitiveWithInfer):
self.strides = strides
self.dilates = dilates
self.mode = mode
from mindspore.ops._op_impl._custom_op.img2col_impl import CusImg2Col
def get_bprop(self):
def bprop(x, out, dout):
return (C.zeros_like(x),)
@ -141,7 +141,7 @@ class CusMatMulCubeDenseLeft(PrimitiveWithInfer):
def __init__(self):
"""init CusMatMulCubeDenseLeft"""
self.init_prim_io_names(inputs=['x1', 'x2'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.matmul_cube_dense_left_impl import CusMatMulCubeDenseLeft
def get_bprop(self):
def bprop(x1, x2, out, dout):
return (C.zeros_like(x1), C.zeros_like(x2))
@ -162,7 +162,7 @@ class CusMatMulCubeFraczRightMul(PrimitiveWithInfer):
def __init__(self):
"""init CusMatMulCubeFraczRightMul"""
self.init_prim_io_names(inputs=['x1', 'x2', 'x3'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.matmul_cube_fracz_right_mul_impl import CusMatMulCubeFraczRightMul
def get_bprop(self):
def bprop(x1, x2, x3, out, dout):
return (C.zeros_like(x1), C.zeros_like(x2), C.zeros_like(x3))
@ -185,7 +185,7 @@ class CusMatMulCube(PrimitiveWithInfer):
self.init_prim_io_names(inputs=['x1', 'x2'], outputs=['y'])
self.transpose_a = transpose_a
self.transpose_b = transpose_b
from mindspore.ops._op_impl._custom_op.matmul_cube_impl import CusMatMulCube
def get_bprop(self):
def bprop(x1, x2, out, dout):
return (C.zeros_like(x1), C.zeros_like(x2))
@ -218,7 +218,7 @@ class CusMatrixCombine(PrimitiveWithInfer):
def __init__(self):
"""init CusMatrixCombine"""
self.init_prim_io_names(inputs=['x'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.matrix_combine_impl import CusMatrixCombine
def get_bprop(self):
def bprop(x, out, dout):
return (C.zeros_like(x),)
@ -242,7 +242,7 @@ class CusTranspose02314(PrimitiveWithInfer):
def __init__(self):
"""init CusTranspose02314"""
self.init_prim_io_names(inputs=['x1'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.transpose_02314_impl import CusTranspose02314
def get_bprop(self):
def bprop(x, out, dout):
return (C.zeros_like(x),)
@ -260,36 +260,40 @@ class CusTranspose02314(PrimitiveWithInfer):
def infer_dtype(self, data1_dtype):
return data1_dtype
class CusMatMulCubeDenseRight(PrimitiveWithInfer):
"""CusMatMulCubeDenseRight definition"""
@prim_attr_register
def __init__(self):
"""init CusMatMulCubeDenseRight"""
self.init_prim_io_names(inputs=['x1', 'x2','x3'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.matmul_cube_dense_right_impl import CusMatMulCubeDenseRight
self.init_prim_io_names(inputs=['x1', 'x2', 'x3'], outputs=['y'])
def get_bprop(self):
def bprop(x1, x2, x3, out, dout):
return (C.zeros_like(x1),C.zeros_like(x2), C.zeros_like(x3))
return (C.zeros_like(x1), C.zeros_like(x2), C.zeros_like(x3))
return bprop
def infer_shape(self, data1_shape, data2_shape, data3_shape):
return data1_shape
def infer_dtype(self, data1_dtype, data2_dtype, data3_dtype):
return ms.common.dtype.tensor_type(getattr(ms, "float32"))
class CusMatMulCubeFraczLeftCast(PrimitiveWithInfer):
"""CusMatMulCubeFraczLeftCast definition"""
@prim_attr_register
def __init__(self):
"""init CusMatMulCubeFraczLeftCast"""
self.init_prim_io_names(inputs=['x1', 'x2'], outputs=['y'])
from mindspore.ops._op_impl._custom_op.matmul_cube_fracz_left_cast_impl import CusMatMulCubeFraczLeftCast
def get_bprop(self):
def bprop(x1, x2, out, dout):
return (C.zeros_like(x1),C.zeros_like(x2))
return (C.zeros_like(x1), C.zeros_like(x2))
return bprop
def infer_shape(self, data1_shape, data2_shape):

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