!30700 Support dynamic shape for a few ops in Array, Math, Grad Array and Grad Math
Merge pull request !30700 from zhengzuohe/fill_stack_reshape
This commit is contained in:
Gitee
commit
53ff859661
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@ -208,6 +208,8 @@ def get_bprop_squeeze(self):
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def bprop(x, out, dout):
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shapex = shape_op(x)
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if is_shape_unknown(shapex):
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shapex = dyn_shape_op(x)
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return (reshape(dout, shapex),)
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return bprop
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@ -43,7 +43,7 @@ to_array = P.TupleToArray()
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real_div = P.RealDiv()
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def dyn_binop_grad_common(x, y, dx, dy):
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def dyn_binop_grad_common(x, y, dx, dy, shift=0):
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"""
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Common grad definition for binary operations when the input is dynamic shape.
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@ -51,7 +51,12 @@ def dyn_binop_grad_common(x, y, dx, dy):
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"""
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shape_of_x = dyn_shape_op(x)
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shape_of_y = dyn_shape_op(y)
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rx, ry = DynamicBroadcastGradientArgs()(shape_of_x, shape_of_y)
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broadcast_shape_of_x = shape_of_x
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broadcast_shape_of_y = shape_of_y
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if shift != 0:
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broadcast_shape_of_x = shape_of_x[:-shift]
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broadcast_shape_of_y = shape_of_y[:-shift]
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rx, ry = DynamicBroadcastGradientArgs()(broadcast_shape_of_x, broadcast_shape_of_y)
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dx = reduce_sum(dx, rx)
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dy = reduce_sum(dy, ry)
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reduce_dx = reshape(dx, shape_of_x)
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@ -87,7 +92,7 @@ def binop_grad_common(x, y, dx, dy, shift=0):
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# if input shape is the same as dout shape, do not need to reduce
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reduce_dx = dx
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reduce_dy = dy
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if not (is_shape_unknown(shape_of_x) or is_shape_unknown(shape_of_y)):
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if not (is_shape_unknown(broadcast_shape_of_x) or is_shape_unknown(broadcast_shape_of_y)):
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rx = broadcast_gradient_args(broadcast_shape_of_x, broadcast_shape_of_y)
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if rx[0]:
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# if dx is scalar whose shape is (), do not need reduce
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@ -108,7 +113,7 @@ def binop_grad_common(x, y, dx, dy, shift=0):
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reduce_dy = reduce_sum_with_cast(dy, ())
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return reduce_dx, reduce_dy
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return dyn_binop_grad_common(x, y, dx, dy)
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return dyn_binop_grad_common(x, y, dx, dy, shift)
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def _dyn_reduced_shape(input_shape, axis):
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@ -1,20 +1,20 @@
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S-Prim-MakeTuple:4S-Prim-MakeTuplebH
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S-Prim-MakeTuple:4S-Prim-MakeTuplebH
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#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
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@ -1,12 +1,12 @@
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S-Prim-MakeTuple:4S-Prim-MakeTuplebH
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#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
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@ -1,12 +1,12 @@
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@ -2,19 +2,19 @@
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bprop.81:[CNode]82:1
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bprop.52:[CNode]53:1
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bprop.81:[CNode]84:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
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S-Prim-MakeTuple:5S-Prim-MakeTuplebH
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#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
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|
||||
bprop.52:[CNode]55:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -1,16 +1,16 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:÷
|
||||
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|
||||
bprop.172:xbprop.172:[CNode]173:1bprop.172:[CNode]173:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op96
|
||||
bprop.111:xbprop.111:[CNode]112:1bprop.111:[CNode]112:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op51
|
||||
—
|
||||
bprop.172:ybprop.172:[CNode]174:3bprop.172:[CNode]174:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op97
|
||||
bprop.111:ybprop.111:[CNode]113:3bprop.111:[CNode]113:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op52
|
||||
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|
||||
bprop.172:[CNode]173:1
|
||||
bprop.172:[CNode]174:3bprop.172:[CNode]175:4bprop.172:[CNode]175:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op98 bprop.172*
|
||||
bprop.172:x*
|
||||
bprop.172:y*
|
||||
bprop.172:out*
|
||||
bprop.172:dout2
|
||||
bprop.172:[CNode]175:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
bprop.111:[CNode]112:1
|
||||
bprop.111:[CNode]113:3bprop.111:[CNode]114:4bprop.111:[CNode]114:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op53 bprop.111*
|
||||
bprop.111:x*
|
||||
bprop.111:y*
|
||||
bprop.111:out*
|
||||
bprop.111:dout2
|
||||
bprop.111:[CNode]114:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
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|
||||
|
|
@ -2,19 +2,19 @@
|
|||
0.1.1 MindSpore*1.7.0:Ţ
|
||||
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|
||||
|
||||
bprop.96:xbprop.96:[CNode]97:1bprop.96:[CNode]97:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op51
|
||||
bprop.67:xbprop.67:[CNode]68:1bprop.67:[CNode]68:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op30
|
||||
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|
||||
|
||||
bprop.96:ybprop.96:[CNode]98:3bprop.96:[CNode]98:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op52
|
||||
bprop.67:ybprop.67:[CNode]69:3bprop.67:[CNode]69:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op31
|
||||
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|
||||
bprop.96:[CNode]97:1
|
||||
bprop.96:[CNode]98:3bprop.96:[CNode]99:4bprop.96:[CNode]99:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op53bprop.96*
|
||||
bprop.67:[CNode]68:1
|
||||
bprop.67:[CNode]69:3bprop.67:[CNode]70:4bprop.67:[CNode]70:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op32bprop.67*
|
||||
|
||||
bprop.96:x*
|
||||
bprop.67:x*
|
||||
|
||||
bprop.96:y*
|
||||
bprop.96:out*
|
||||
bprop.96:dout2
|
||||
bprop.96:[CNode]99:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
bprop.67:y*
|
||||
bprop.67:out*
|
||||
bprop.67:dout2
|
||||
bprop.67:[CNode]70:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
|
|
@ -2,19 +2,19 @@
|
|||
0.1.1 MindSpore*1.7.0:Ţ
|
||||
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|
||||
|
||||
bprop.91:xbprop.91:[CNode]92:1bprop.91:[CNode]92:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op48
|
||||
bprop.62:xbprop.62:[CNode]63:1bprop.62:[CNode]63:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op27
|
||||
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|
||||
|
||||
bprop.91:ybprop.91:[CNode]93:3bprop.91:[CNode]93:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op49
|
||||
bprop.62:ybprop.62:[CNode]64:3bprop.62:[CNode]64:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op28
|
||||
<EFBFBD>
|
||||
bprop.91:[CNode]92:1
|
||||
bprop.91:[CNode]93:3bprop.91:[CNode]94:4bprop.91:[CNode]94:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op50bprop.91*
|
||||
bprop.62:[CNode]63:1
|
||||
bprop.62:[CNode]64:3bprop.62:[CNode]65:4bprop.62:[CNode]65:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op29bprop.62*
|
||||
|
||||
bprop.91:x*
|
||||
bprop.62:x*
|
||||
|
||||
bprop.91:y*
|
||||
bprop.91:out*
|
||||
bprop.91:dout2
|
||||
bprop.91:[CNode]94:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
bprop.62:y*
|
||||
bprop.62:out*
|
||||
bprop.62:dout2
|
||||
bprop.62:[CNode]65:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -1,9 +1,9 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:ü
|
||||
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|
||||
bprop.5:doutbprop.5:[CNode]6:1bprop.5:[CNode]6:1"REF::S-Prim-MakeTuple:2: Default/S-Prim-MakeTuple-op2bprop.5*
|
||||
bprop.5:x*
|
||||
bprop.5:out*
|
||||
bprop.5:dout2
|
||||
bprop.5:[CNode]6:1:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPb&
|
||||
S-Prim-MakeTuple:2S-Prim-MakeTuple
|
||||
bprop.3:doutbprop.3:[CNode]4:1bprop.3:[CNode]4:1"REF::S-Prim-MakeTuple:2: Default/S-Prim-MakeTuple-op0bprop.3*
|
||||
bprop.3:x*
|
||||
bprop.3:out*
|
||||
bprop.3:dout2
|
||||
bprop.3:[CNode]4:1:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7Pb&
|
||||
S-Prim-MakeTuple:2S-Prim-MakeTupleh
|
||||
|
|
@ -1,14 +1,14 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:¤
|
||||
’
|
||||
0.1.1 MindSpore*1.7.0:¢
|
||||
‘
|
||||
|
||||
bprop.39:xbprop.39:[CNode]40:1bprop.39:[CNode]40:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op19
|
||||
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|
||||
bprop.39:[CNode]40:1bprop.39:[CNode]41:3bprop.39:[CNode]41:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op20bprop.39*
|
||||
bprop.20:xbprop.20:[CNode]21:1bprop.20:[CNode]21:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op6
|
||||
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|
||||
bprop.20:[CNode]21:1bprop.20:[CNode]22:3bprop.20:[CNode]22:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op7bprop.20*
|
||||
|
||||
bprop.39:x*
|
||||
bprop.39:out*
|
||||
bprop.39:dout2
|
||||
bprop.39:[CNode]41:3:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
bprop.20:x*
|
||||
bprop.20:out*
|
||||
bprop.20:dout2
|
||||
bprop.20:[CNode]22:3:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -1,12 +1,12 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:¸
|
||||
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|
||||
bprop.198:xbprop.198:[CNode]199:1bprop.198:[CNode]199:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:/Default/S-Prim-hyper_map[zeros_like_leaf]-op112
|
||||
<EFBFBD>
|
||||
bprop.198:[CNode]199:1bprop.198:[CNode]200:3bprop.198:[CNode]200:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op113 bprop.198*
|
||||
bprop.198:x*
|
||||
bprop.198:out*
|
||||
bprop.198:dout2
|
||||
bprop.198:[CNode]200:3:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
0.1.1 MindSpore*1.7.0:¶
|
||||
—
|
||||
bprop.137:xbprop.137:[CNode]138:1bprop.137:[CNode]138:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op67
|
||||
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|
||||
bprop.137:[CNode]138:1bprop.137:[CNode]139:3bprop.137:[CNode]139:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op68 bprop.137*
|
||||
bprop.137:x*
|
||||
bprop.137:out*
|
||||
bprop.137:dout2
|
||||
bprop.137:[CNode]139:3:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -1,12 +1,12 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:¸
|
||||
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|
||||
bprop.194:xbprop.194:[CNode]195:1bprop.194:[CNode]195:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:/Default/S-Prim-hyper_map[zeros_like_leaf]-op110
|
||||
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|
||||
bprop.194:[CNode]195:1bprop.194:[CNode]196:3bprop.194:[CNode]196:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op111 bprop.194*
|
||||
bprop.194:x*
|
||||
bprop.194:out*
|
||||
bprop.194:dout2
|
||||
bprop.194:[CNode]196:3:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
0.1.1 MindSpore*1.7.0:¶
|
||||
—
|
||||
bprop.133:xbprop.133:[CNode]134:1bprop.133:[CNode]134:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op65
|
||||
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bprop.133:[CNode]134:1bprop.133:[CNode]135:3bprop.133:[CNode]135:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op66 bprop.133*
|
||||
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|
||||
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|
||||
bprop.133:dout2
|
||||
bprop.133:[CNode]135:3:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -1,16 +1,20 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:÷
|
||||
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|
||||
bprop.106:xbprop.106:[CNode]107:1bprop.106:[CNode]107:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op57
|
||||
—
|
||||
bprop.106:ybprop.106:[CNode]108:3bprop.106:[CNode]108:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op58
|
||||
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|
||||
bprop.106:[CNode]107:1
|
||||
bprop.106:[CNode]108:3bprop.106:[CNode]109:4bprop.106:[CNode]109:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op59 bprop.106*
|
||||
bprop.106:x*
|
||||
bprop.106:y*
|
||||
bprop.106:out*
|
||||
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|
||||
bprop.106:[CNode]109:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
0.1.1 MindSpore*1.7.0:Þ
|
||||
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|
||||
|
||||
bprop.77:xbprop.77:[CNode]78:1bprop.77:[CNode]78:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op36
|
||||
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|
||||
|
||||
bprop.77:ybprop.77:[CNode]79:3bprop.77:[CNode]79:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op37
|
||||
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|
||||
bprop.77:[CNode]78:1
|
||||
bprop.77:[CNode]79:3bprop.77:[CNode]80:4bprop.77:[CNode]80:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op38bprop.77*
|
||||
|
||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
bprop.77:[CNode]80:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -1,16 +1,20 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:÷
|
||||
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|
||||
bprop.101:xbprop.101:[CNode]102:1bprop.101:[CNode]102:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op54
|
||||
—
|
||||
bprop.101:ybprop.101:[CNode]103:3bprop.101:[CNode]103:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op55
|
||||
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|
||||
bprop.101:[CNode]102:1
|
||||
bprop.101:[CNode]103:3bprop.101:[CNode]104:4bprop.101:[CNode]104:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op56 bprop.101*
|
||||
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|
||||
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|
||||
bprop.101:out*
|
||||
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|
||||
bprop.101:[CNode]104:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
0.1.1 MindSpore*1.7.0:Þ
|
||||
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|
||||
|
||||
bprop.72:xbprop.72:[CNode]73:1bprop.72:[CNode]73:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op33
|
||||
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|
||||
|
||||
bprop.72:ybprop.72:[CNode]74:3bprop.72:[CNode]74:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op34
|
||||
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|
||||
bprop.72:[CNode]73:1
|
||||
bprop.72:[CNode]74:3bprop.72:[CNode]75:4bprop.72:[CNode]75:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op35bprop.72*
|
||||
|
||||
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|
||||
|
||||
bprop.72:y*
|
||||
bprop.72:out*
|
||||
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|
||||
bprop.72:[CNode]75:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -1,20 +1,20 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:©
|
||||
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|
||||
bprop.60:startbprop.60:[CNode]61:1bprop.60:[CNode]61:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op30
|
||||
bprop.41:startbprop.41:[CNode]42:1bprop.41:[CNode]42:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op17
|
||||
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|
||||
bprop.60:stopbprop.60:[CNode]62:3bprop.60:[CNode]62:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op31
|
||||
bprop.41:stopbprop.41:[CNode]43:3bprop.41:[CNode]43:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op18
|
||||
”
|
||||
bprop.60:numbprop.60:[CNode]63:4bprop.60:[CNode]63:4"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op32
|
||||
bprop.41:numbprop.41:[CNode]44:4bprop.41:[CNode]44:4"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op19
|
||||
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|
||||
bprop.60:[CNode]61:1
|
||||
bprop.60:[CNode]62:3
|
||||
bprop.60:[CNode]63:4bprop.60:[CNode]64:5bprop.60:[CNode]64:5"REF::S-Prim-MakeTuple:6: Default/S-Prim-MakeTuple-op33bprop.60*
|
||||
bprop.60:start*
|
||||
bprop.60:stop*
|
||||
bprop.60:num*
|
||||
bprop.60:out*
|
||||
bprop.60:dout2
|
||||
bprop.60:[CNode]64:5:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:6S-Prim-MakeTuple
|
||||
bprop.41:[CNode]42:1
|
||||
bprop.41:[CNode]43:3
|
||||
bprop.41:[CNode]44:4bprop.41:[CNode]45:5bprop.41:[CNode]45:5"REF::S-Prim-MakeTuple:6: Default/S-Prim-MakeTuple-op20bprop.41*
|
||||
bprop.41:start*
|
||||
bprop.41:stop*
|
||||
bprop.41:num*
|
||||
bprop.41:out*
|
||||
bprop.41:dout2
|
||||
bprop.41:[CNode]45:5:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPb&
|
||||
S-Prim-MakeTuple:6S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
|
|
@ -1,16 +1,20 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:÷
|
||||
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|
||||
bprop.111:xbprop.111:[CNode]112:1bprop.111:[CNode]112:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op60
|
||||
—
|
||||
bprop.111:ybprop.111:[CNode]113:3bprop.111:[CNode]113:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op61
|
||||
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|
||||
bprop.111:[CNode]112:1
|
||||
bprop.111:[CNode]113:3bprop.111:[CNode]114:4bprop.111:[CNode]114:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op62 bprop.111*
|
||||
bprop.111:x*
|
||||
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|
||||
bprop.111:out*
|
||||
bprop.111:dout2
|
||||
bprop.111:[CNode]114:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
0.1.1 MindSpore*1.7.0:Þ
|
||||
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|
||||
|
||||
bprop.82:xbprop.82:[CNode]83:1bprop.82:[CNode]83:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op39
|
||||
’
|
||||
|
||||
bprop.82:ybprop.82:[CNode]84:3bprop.82:[CNode]84:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op40
|
||||
<EFBFBD>
|
||||
bprop.82:[CNode]83:1
|
||||
bprop.82:[CNode]84:3bprop.82:[CNode]85:4bprop.82:[CNode]85:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op41bprop.82*
|
||||
|
||||
bprop.82:x*
|
||||
|
||||
bprop.82:y*
|
||||
bprop.82:out*
|
||||
bprop.82:dout2
|
||||
bprop.82:[CNode]85:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -2,13 +2,13 @@
|
|||
0.1.1 MindSpore*1.7.0:¤
|
||||
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|
||||
|
||||
bprop.52:xbprop.52:[CNode]53:1bprop.52:[CNode]53:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op26
|
||||
bprop.33:xbprop.33:[CNode]34:1bprop.33:[CNode]34:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op13
|
||||
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|
||||
bprop.52:[CNode]53:1bprop.52:[CNode]54:3bprop.52:[CNode]54:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op27bprop.52*
|
||||
bprop.33:[CNode]34:1bprop.33:[CNode]35:3bprop.33:[CNode]35:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op14bprop.33*
|
||||
|
||||
bprop.52:x*
|
||||
bprop.52:out*
|
||||
bprop.52:dout2
|
||||
bprop.52:[CNode]54:3:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
bprop.33:x*
|
||||
bprop.33:out*
|
||||
bprop.33:dout2
|
||||
bprop.33:[CNode]35:3:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -1,16 +1,20 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:÷
|
||||
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|
||||
bprop.116:xbprop.116:[CNode]117:1bprop.116:[CNode]117:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op63
|
||||
—
|
||||
bprop.116:ybprop.116:[CNode]118:3bprop.116:[CNode]118:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op64
|
||||
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|
||||
bprop.116:[CNode]117:1
|
||||
bprop.116:[CNode]118:3bprop.116:[CNode]119:4bprop.116:[CNode]119:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op65 bprop.116*
|
||||
bprop.116:x*
|
||||
bprop.116:y*
|
||||
bprop.116:out*
|
||||
bprop.116:dout2
|
||||
bprop.116:[CNode]119:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
0.1.1 MindSpore*1.7.0:Þ
|
||||
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|
||||
|
||||
bprop.87:xbprop.87:[CNode]88:1bprop.87:[CNode]88:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op42
|
||||
’
|
||||
|
||||
bprop.87:ybprop.87:[CNode]89:3bprop.87:[CNode]89:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op43
|
||||
<EFBFBD>
|
||||
bprop.87:[CNode]88:1
|
||||
bprop.87:[CNode]89:3bprop.87:[CNode]90:4bprop.87:[CNode]90:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op44bprop.87*
|
||||
|
||||
bprop.87:x*
|
||||
|
||||
bprop.87:y*
|
||||
bprop.87:out*
|
||||
bprop.87:dout2
|
||||
bprop.87:[CNode]90:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
Binary file not shown.
Binary file not shown.
|
|
@ -2,19 +2,19 @@
|
|||
0.1.1 MindSpore*1.7.0:Þ
|
||||
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|
||||
|
||||
bprop.86:xbprop.86:[CNode]87:1bprop.86:[CNode]87:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op45
|
||||
bprop.57:xbprop.57:[CNode]58:1bprop.57:[CNode]58:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op24
|
||||
’
|
||||
|
||||
bprop.86:ybprop.86:[CNode]88:3bprop.86:[CNode]88:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op46
|
||||
bprop.57:ybprop.57:[CNode]59:3bprop.57:[CNode]59:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op25
|
||||
<EFBFBD>
|
||||
bprop.86:[CNode]87:1
|
||||
bprop.86:[CNode]88:3bprop.86:[CNode]89:4bprop.86:[CNode]89:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op47bprop.86*
|
||||
bprop.57:[CNode]58:1
|
||||
bprop.57:[CNode]59:3bprop.57:[CNode]60:4bprop.57:[CNode]60:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op26bprop.57*
|
||||
|
||||
bprop.86:x*
|
||||
bprop.57:x*
|
||||
|
||||
bprop.86:y*
|
||||
bprop.86:out*
|
||||
bprop.86:dout2
|
||||
bprop.86:[CNode]89:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
bprop.57:y*
|
||||
bprop.57:out*
|
||||
bprop.57:dout2
|
||||
bprop.57:[CNode]60:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -2,13 +2,13 @@
|
|||
0.1.1 MindSpore*1.7.0:¢
|
||||
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|
||||
|
||||
bprop.12:xbprop.12:[CNode]13:1bprop.12:[CNode]13:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op5
|
||||
bprop.10:xbprop.10:[CNode]11:1bprop.10:[CNode]11:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op3
|
||||
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|
||||
bprop.12:[CNode]13:1bprop.12:[CNode]14:3bprop.12:[CNode]14:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op6bprop.12*
|
||||
bprop.10:[CNode]11:1bprop.10:[CNode]12:3bprop.10:[CNode]12:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op4bprop.10*
|
||||
|
||||
bprop.12:x*
|
||||
bprop.12:out*
|
||||
bprop.12:dout2
|
||||
bprop.12:[CNode]14:3:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPb&
|
||||
bprop.10:x*
|
||||
bprop.10:out*
|
||||
bprop.10:dout2
|
||||
bprop.10:[CNode]12:3:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7Pb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
|
|
@ -1,12 +1,12 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:”
|
||||
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|
||||
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|
||||
bprop.8:xbprop.8:[CNode]9:1bprop.8:[CNode]9:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op3
|
||||
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|
||||
bprop.8:[CNode]9:1bprop.8:[CNode]10:3bprop.8:[CNode]10:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op4bprop.8*
|
||||
bprop.8:x*
|
||||
bprop.8:out*
|
||||
bprop.8:dout2
|
||||
bprop.8:[CNode]10:3:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
bprop.6:xbprop.6:[CNode]7:1bprop.6:[CNode]7:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op1
|
||||
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|
||||
bprop.6:[CNode]7:1bprop.6:[CNode]8:3bprop.6:[CNode]8:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op2bprop.6*
|
||||
bprop.6:x*
|
||||
bprop.6:out*
|
||||
bprop.6:dout2
|
||||
bprop.6:[CNode]8:3:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7Pb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
|
|
@ -1,12 +1,12 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:¶
|
||||
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|
||||
bprop.149:xbprop.149:[CNode]150:1bprop.149:[CNode]150:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op82
|
||||
bprop.132:xbprop.132:[CNode]133:1bprop.132:[CNode]133:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op68
|
||||
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|
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bprop.149:[CNode]150:1bprop.149:[CNode]151:3bprop.149:[CNode]151:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op83 bprop.149*
|
||||
bprop.149:x*
|
||||
bprop.149:out*
|
||||
bprop.149:dout2
|
||||
bprop.149:[CNode]151:3:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
bprop.132:[CNode]133:1bprop.132:[CNode]134:3bprop.132:[CNode]134:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op69 bprop.132*
|
||||
bprop.132:x*
|
||||
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|
||||
bprop.132:dout2
|
||||
bprop.132:[CNode]134:3:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7Pb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
|
|
@ -1,16 +1,18 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:ý
|
||||
—
|
||||
bprop.121:xbprop.121:[CNode]122:1bprop.121:[CNode]122:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op66
|
||||
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|
||||
bprop.121:axisbprop.121:[CNode]123:3bprop.121:[CNode]123:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op67
|
||||
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|
||||
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|
||||
bprop.121:[CNode]123:3bprop.121:[CNode]124:4bprop.121:[CNode]124:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op68 bprop.121*
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
bprop.121:[CNode]124:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
0.1.1 MindSpore*1.7.0:ä
|
||||
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|
||||
|
||||
bprop.92:xbprop.92:[CNode]93:1bprop.92:[CNode]93:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op45
|
||||
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|
||||
bprop.92:axisbprop.92:[CNode]94:3bprop.92:[CNode]94:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op46
|
||||
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|
||||
bprop.92:[CNode]93:1
|
||||
bprop.92:[CNode]94:3bprop.92:[CNode]95:4bprop.92:[CNode]95:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op47bprop.92*
|
||||
|
||||
bprop.92:x*
|
||||
bprop.92:axis*
|
||||
bprop.92:out*
|
||||
bprop.92:dout2
|
||||
bprop.92:[CNode]95:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
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|
||||
|
|
@ -1,16 +1,18 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:ý
|
||||
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|
||||
bprop.126:xbprop.126:[CNode]127:1bprop.126:[CNode]127:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op69
|
||||
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|
||||
bprop.126:axisbprop.126:[CNode]128:3bprop.126:[CNode]128:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op70
|
||||
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|
||||
bprop.126:[CNode]127:1
|
||||
bprop.126:[CNode]128:3bprop.126:[CNode]129:4bprop.126:[CNode]129:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op71 bprop.126*
|
||||
bprop.126:x*
|
||||
bprop.126:axis*
|
||||
bprop.126:out*
|
||||
bprop.126:dout2
|
||||
bprop.126:[CNode]129:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
0.1.1 MindSpore*1.7.0:ç
|
||||
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|
||||
|
||||
bprop.97:xbprop.97:[CNode]98:1bprop.97:[CNode]98:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op48
|
||||
•
|
||||
bprop.97:axisbprop.97:[CNode]99:3bprop.97:[CNode]99:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op49
|
||||
’
|
||||
bprop.97:[CNode]98:1
|
||||
bprop.97:[CNode]99:3bprop.97:[CNode]100:4bprop.97:[CNode]100:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op50bprop.97*
|
||||
|
||||
bprop.97:x*
|
||||
bprop.97:axis*
|
||||
bprop.97:out*
|
||||
bprop.97:dout2
|
||||
bprop.97:[CNode]100:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTupleh
|
||||
|
|
@ -2,13 +2,13 @@
|
|||
0.1.1 MindSpore*1.7.0:¤
|
||||
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|
||||
|
||||
bprop.56:xbprop.56:[CNode]57:1bprop.56:[CNode]57:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op28
|
||||
bprop.37:xbprop.37:[CNode]38:1bprop.37:[CNode]38:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op15
|
||||
z
|
||||
bprop.56:[CNode]57:1bprop.56:[CNode]58:3bprop.56:[CNode]58:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op29bprop.56*
|
||||
bprop.37:[CNode]38:1bprop.37:[CNode]39:3bprop.37:[CNode]39:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op16bprop.37*
|
||||
|
||||
bprop.56:x*
|
||||
bprop.56:out*
|
||||
bprop.56:dout2
|
||||
bprop.56:[CNode]58:3:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
bprop.37:x*
|
||||
bprop.37:out*
|
||||
bprop.37:dout2
|
||||
bprop.37:[CNode]39:3:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
Binary file not shown.
|
|
@ -1,31 +1,31 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:ø
|
||||
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|
||||
bprop.153:condbprop.153:[CNode]154:1bprop.153:[CNode]154:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op84
|
||||
bprop.136:condbprop.136:[CNode]137:1bprop.136:[CNode]137:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op70
|
||||
—
|
||||
bprop.153:xbprop.153:[CNode]155:3bprop.153:[CNode]155:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op85
|
||||
bprop.136:xbprop.136:[CNode]138:3bprop.136:[CNode]138:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op71
|
||||
š
|
||||
bprop.153:cond
|
||||
bprop.153:dout
|
||||
bprop.153:[CNode]155:3bprop.153:[CNode]156:4bprop.153:[CNode]156:4"REF::S-Prim-Select:5:Default/S-Prim-Select-op86
|
||||
bprop.136:cond
|
||||
bprop.136:dout
|
||||
bprop.136:[CNode]138:3bprop.136:[CNode]139:4bprop.136:[CNode]139:4"REF::S-Prim-Select:5:Default/S-Prim-Select-op72
|
||||
—
|
||||
bprop.153:ybprop.153:[CNode]157:6bprop.153:[CNode]157:6"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op87
|
||||
bprop.136:ybprop.136:[CNode]140:6bprop.136:[CNode]140:6"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op73
|
||||
š
|
||||
bprop.153:cond
|
||||
bprop.153:[CNode]157:6
|
||||
bprop.153:doutbprop.153:[CNode]158:7bprop.153:[CNode]158:7"REF::S-Prim-Select:5:Default/S-Prim-Select-op88
|
||||
bprop.136:cond
|
||||
bprop.136:[CNode]140:6
|
||||
bprop.136:doutbprop.136:[CNode]141:7bprop.136:[CNode]141:7"REF::S-Prim-Select:5:Default/S-Prim-Select-op74
|
||||
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|
||||
bprop.153:[CNode]154:1
|
||||
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|
||||
bprop.153:[CNode]158:7bprop.153:[CNode]159:8bprop.153:[CNode]159:8"REF::S-Prim-MakeTuple:9: Default/S-Prim-MakeTuple-op89 bprop.153*
|
||||
bprop.153:cond*
|
||||
bprop.153:x*
|
||||
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|
||||
bprop.153:out*
|
||||
bprop.153:dout2
|
||||
bprop.153:[CNode]159:8:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPb&
|
||||
S-Prim-MakeTuple:9S-Prim-MakeTuplebv
|
||||
bprop.136:[CNode]137:1
|
||||
bprop.136:[CNode]139:4
|
||||
bprop.136:[CNode]141:7bprop.136:[CNode]142:8bprop.136:[CNode]142:8"REF::S-Prim-MakeTuple:9: Default/S-Prim-MakeTuple-op75 bprop.136*
|
||||
bprop.136:cond*
|
||||
bprop.136:x*
|
||||
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|
||||
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|
||||
bprop.136:dout2
|
||||
bprop.136:[CNode]142:8:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7PbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]bv
|
||||
S-Prim-Select:5
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|
||||
output_names€Š Zoutput€3
|
||||
input_names€ŠZ condition€ŠZx€ŠZy€bH
|
||||
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|
||||
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|
||||
S-Prim-MakeTuple:9S-Prim-MakeTupleh
|
||||
|
|
@ -1,12 +1,12 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:¶
|
||||
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|
||||
bprop.141:xbprop.141:[CNode]142:1bprop.141:[CNode]142:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op78
|
||||
bprop.124:xbprop.124:[CNode]125:1bprop.124:[CNode]125:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op64
|
||||
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|
||||
bprop.141:[CNode]142:1bprop.141:[CNode]143:3bprop.141:[CNode]143:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op79 bprop.141*
|
||||
bprop.141:x*
|
||||
bprop.141:out*
|
||||
bprop.141:dout2
|
||||
bprop.141:[CNode]143:3:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPbH
|
||||
bprop.124:[CNode]125:1bprop.124:[CNode]126:3bprop.124:[CNode]126:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op65 bprop.124*
|
||||
bprop.124:x*
|
||||
bprop.124:out*
|
||||
bprop.124:dout2
|
||||
bprop.124:[CNode]126:3:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7PbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -2,13 +2,13 @@
|
|||
0.1.1 MindSpore*1.7.0:¤
|
||||
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|
||||
|
||||
bprop.48:xbprop.48:[CNode]49:1bprop.48:[CNode]49:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op24
|
||||
bprop.29:xbprop.29:[CNode]30:1bprop.29:[CNode]30:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op11
|
||||
z
|
||||
bprop.48:[CNode]49:1bprop.48:[CNode]50:3bprop.48:[CNode]50:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op25bprop.48*
|
||||
bprop.29:[CNode]30:1bprop.29:[CNode]31:3bprop.29:[CNode]31:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op12bprop.29*
|
||||
|
||||
bprop.48:x*
|
||||
bprop.48:out*
|
||||
bprop.48:dout2
|
||||
bprop.48:[CNode]50:3:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
bprop.29:x*
|
||||
bprop.29:out*
|
||||
bprop.29:dout2
|
||||
bprop.29:[CNode]31:3:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -1,16 +1,16 @@
|
|||
|
||||
0.1.1 MindSpore*1.7.0:ù
|
||||
0.1.1 MindSpore*1.7.0:÷
|
||||
—
|
||||
bprop.177:xbprop.177:[CNode]178:1bprop.177:[CNode]178:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op99
|
||||
bprop.116:xbprop.116:[CNode]117:1bprop.116:[CNode]117:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op54
|
||||
—
|
||||
bprop.116:ybprop.116:[CNode]118:3bprop.116:[CNode]118:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op55
|
||||
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|
||||
bprop.177:ybprop.177:[CNode]179:3bprop.177:[CNode]179:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:/Default/S-Prim-hyper_map[zeros_like_leaf]-op100
|
||||
™
|
||||
bprop.177:[CNode]178:1
|
||||
bprop.177:[CNode]179:3bprop.177:[CNode]180:4bprop.177:[CNode]180:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op101 bprop.177*
|
||||
bprop.177:x*
|
||||
bprop.177:y*
|
||||
bprop.177:out*
|
||||
bprop.177:dout2
|
||||
bprop.177:[CNode]180:4:@33ebc53e3c87fc0fc2a3c9506915190e5926db400bd5e66a746ceb46c40b05fdPb&
|
||||
bprop.116:[CNode]117:1
|
||||
bprop.116:[CNode]118:3bprop.116:[CNode]119:4bprop.116:[CNode]119:4"REF::S-Prim-MakeTuple:5: Default/S-Prim-MakeTuple-op56 bprop.116*
|
||||
bprop.116:x*
|
||||
bprop.116:y*
|
||||
bprop.116:out*
|
||||
bprop.116:dout2
|
||||
bprop.116:[CNode]119:4:@c5aceb168aeeb852fdb52d5efe3a7782f6e6e7eed35f19d4ebe07d940164ec2fPb&
|
||||
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
|
||||
|
|
@ -2,13 +2,13 @@
|
|||
0.1.1 MindSpore*1.7.0:¢
|
||||
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|
||||
|
||||
bprop.16:xbprop.16:[CNode]17:1bprop.16:[CNode]17:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op7
|
||||
bprop.14:xbprop.14:[CNode]15:1bprop.14:[CNode]15:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op5
|
||||
y
|
||||
bprop.16:[CNode]17:1bprop.16:[CNode]18:3bprop.16:[CNode]18:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op8bprop.16*
|
||||
bprop.14:[CNode]15:1bprop.14:[CNode]16:3bprop.14:[CNode]16:3"REF::S-Prim-MakeTuple:4: Default/S-Prim-MakeTuple-op6bprop.14*
|
||||
|
||||
bprop.16:x*
|
||||
bprop.16:out*
|
||||
bprop.16:dout2
|
||||
bprop.16:[CNode]18:3:@3e6b4b1515849c402b76774467f7d4737b4a5c7f70c42f3deb212cc538028f2bPbH
|
||||
bprop.14:x*
|
||||
bprop.14:out*
|
||||
bprop.14:dout2
|
||||
bprop.14:[CNode]16:3:@ceb6bc8e8d5c40f04ae14aae46495a62e23d11908cae60a0b9eecf0ca9718ac7PbH
|
||||
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTuple
|
||||
S-Prim-MakeTuple:4S-Prim-MakeTupleh
|
||||
|
|
@ -521,7 +521,7 @@ class Reshape(PrimitiveWithInfer):
|
|||
if len(min_shape) != shape_rank or len(max_shape) != shape_rank:
|
||||
raise RuntimeError("The primitive[Reshape]'s input[shape] min or max value not math the shape rank.")
|
||||
for i in range(shape_rank):
|
||||
if min_shape[i] == max_shape[i] and min_shape[i] != 1:
|
||||
if min_shape[i] == max_shape[i]:
|
||||
out_shape[i] = min_shape[i]
|
||||
elif is_shape_unknown(x_shp) and "max_shape" in x:
|
||||
# when dynamic memory allocation is supported, max_shape can be left out
|
||||
|
|
@ -529,9 +529,57 @@ class Reshape(PrimitiveWithInfer):
|
|||
max_shape = [int(np.prod(x["max_shape"]))] * shape_rank
|
||||
return out_shape, min_shape, max_shape
|
||||
|
||||
def _update_shape_range(self, out, x, shape_v, neg_index, dim_prod):
|
||||
""" update min and max shape of output when input shape is dynamic"""
|
||||
x_min_shape = x['shape']
|
||||
x_max_shape = x['shape']
|
||||
if 'max_shape' in x:
|
||||
x_max_shape = x['max_shape']
|
||||
if 'min_shape' in x:
|
||||
x_min_shape = x['min_shape']
|
||||
max_arr_prod = np.prod(x_max_shape)
|
||||
min_arr_prod = np.prod(x_min_shape)
|
||||
max_shape = list(shape_v)
|
||||
min_shape = list(shape_v)
|
||||
if neg_index != -1:
|
||||
max_shape[neg_index] = int(max_arr_prod / dim_prod)
|
||||
min_shape[neg_index] = int(min_arr_prod / dim_prod)
|
||||
out['max_shape'] = tuple(max_shape)
|
||||
out['min_shape'] = tuple(min_shape)
|
||||
return out
|
||||
|
||||
def _update_shape_and_value(self, out, x, shape_v, dim_prod, neg_index):
|
||||
""" update shape, value and min / max value of output when input shape is known"""
|
||||
x_shp = x['shape']
|
||||
if dim_prod <= 0:
|
||||
raise ValueError(f"For '{self.name}', the shape of 'input_x' is {x_shp}, "
|
||||
f"the value of 'input_shape' is {shape_v}. "
|
||||
f"The product of 'input_shape' should > 0, but got {dim_prod}.")
|
||||
arr_prod = np.prod(x_shp)
|
||||
if neg_index != -1:
|
||||
shape_v[neg_index] = int(arr_prod / dim_prod)
|
||||
dim_prod *= shape_v[neg_index]
|
||||
if dim_prod != arr_prod:
|
||||
raise ValueError(f"For '{self.name}', the shape of 'input_x' is {x_shp}, "
|
||||
f"the value of 'input_shape' value is {shape_v}. "
|
||||
f"The product of the shape of 'input_x' should be equal to that of 'input_shape', "
|
||||
f"but got {arr_prod} and {dim_prod}.")
|
||||
out['shape'] = tuple(shape_v)
|
||||
|
||||
if x['value'] is not None:
|
||||
out['value'] = Tensor(x['value'].asnumpy().reshape(shape_v))
|
||||
|
||||
if ('min_value' in x and 'max_value' in x):
|
||||
ret_min_value = np.array(x['min_value']).reshape(shape_v)
|
||||
ret_max_value = np.array(x['max_value']).reshape(shape_v)
|
||||
ret_min_value = tuple(ret_min_value.tolist())
|
||||
ret_max_value = tuple(ret_max_value.tolist())
|
||||
out['min_value'] = ret_min_value
|
||||
out['max_value'] = ret_max_value
|
||||
return out
|
||||
|
||||
def __infer__(self, x, shape):
|
||||
shape_v = shape['value']
|
||||
x_shp = x['shape']
|
||||
validator.check_subclass("x", x['dtype'], mstype.tensor, self.name)
|
||||
# for shape is not constant
|
||||
if shape_v is None:
|
||||
|
|
@ -569,50 +617,14 @@ class Reshape(PrimitiveWithInfer):
|
|||
else:
|
||||
dim_prod *= shp_i
|
||||
|
||||
if is_shape_unknown(x_shp):
|
||||
if 'max_shape' in x:
|
||||
x_max_shape = x['max_shape']
|
||||
else:
|
||||
x_max_shape = x['shape']
|
||||
if 'min_shape' in x:
|
||||
x_min_shape = x['min_shape']
|
||||
else:
|
||||
x_min_shape = x['shape']
|
||||
max_arr_prod = np.prod(x_max_shape)
|
||||
min_arr_prod = np.prod(x_min_shape)
|
||||
max_shape = list(shape_v)
|
||||
min_shape = list(shape_v)
|
||||
if neg_index != -1:
|
||||
max_shape[neg_index] = int(max_arr_prod / dim_prod)
|
||||
min_shape[neg_index] = int(min_arr_prod / dim_prod)
|
||||
out = {'shape': shape_v,
|
||||
'dtype': x['dtype'],
|
||||
'value': None}
|
||||
|
||||
out = {'shape': shape_v,
|
||||
'dtype': x['dtype'],
|
||||
'value': None,
|
||||
'max_shape': tuple(max_shape),
|
||||
'min_shape': tuple(min_shape)}
|
||||
if is_shape_unknown(x['shape']):
|
||||
out = self._update_shape_range(out, x, shape_v, neg_index, dim_prod)
|
||||
else:
|
||||
arr_prod = np.prod(x_shp)
|
||||
if dim_prod <= 0:
|
||||
raise ValueError(f"For '{self.name}', the shape of 'input_x' is {x_shp}, "
|
||||
f"the value of 'input_shape' is {shape_v}. "
|
||||
f"The product of 'input_shape' should > 0, but got {dim_prod}.")
|
||||
if neg_index != -1:
|
||||
shape_v[neg_index] = int(arr_prod / dim_prod)
|
||||
dim_prod *= shape_v[neg_index]
|
||||
if dim_prod != arr_prod:
|
||||
raise ValueError(f"For '{self.name}', the shape of 'input_x' is {x_shp}, "
|
||||
f"the value of 'input_shape' value is {shape_v}. "
|
||||
f"The product of the shape of 'input_x' should be equal to product of 'input_shape', "
|
||||
f"but product of the shape of 'input_x' is {arr_prod}, "
|
||||
f"product of 'input_shape' is {dim_prod}.")
|
||||
value = None
|
||||
if x['value'] is not None:
|
||||
value = Tensor(x['value'].asnumpy().reshape(shape_v))
|
||||
|
||||
out = {'shape': tuple(shape_v),
|
||||
'dtype': x['dtype'],
|
||||
'value': value}
|
||||
out = self._update_shape_and_value(out, x, shape_v, dim_prod, neg_index)
|
||||
return out
|
||||
|
||||
|
||||
|
|
@ -1352,20 +1364,32 @@ class Fill(PrimitiveWithInfer):
|
|||
def __infer__(self, dtype, dims, x):
|
||||
validator.check_value_type("shape", dims['value'], [tuple], self.name)
|
||||
validator.check_value_type("value", x['value'], [numbers.Number, bool], self.name)
|
||||
for i, item in enumerate(dims['value']):
|
||||
validator.check_positive_int(item, f'dims[{i}]', self.name)
|
||||
valid_dtypes = [mstype.bool_, mstype.int8, mstype.int16, mstype.int32, mstype.int64,
|
||||
mstype.uint8, mstype.uint16, mstype.uint32, mstype.uint64,
|
||||
mstype.float16, mstype.float32, mstype.float64, mstype.complex64,
|
||||
mstype.complex128]
|
||||
validator.check_types_same_and_valid({"value": dtype['value']}, valid_dtypes, self.name)
|
||||
x_nptype = mstype.dtype_to_nptype(dtype['value'])
|
||||
ret = np.full(dims['value'], x['value'], x_nptype)
|
||||
out = {
|
||||
'value': Tensor(ret),
|
||||
'shape': dims['value'],
|
||||
'dtype': x['dtype'],
|
||||
}
|
||||
if -1 not in dims['value']:
|
||||
for i, item in enumerate(dims['value']):
|
||||
validator.check_positive_int(item, f'dims[{i}]', self.name)
|
||||
ret = np.full(dims['value'], x['value'], x_nptype)
|
||||
out = {
|
||||
'value': Tensor(ret),
|
||||
'shape': dims['value'],
|
||||
'dtype': x['dtype'],
|
||||
}
|
||||
else:
|
||||
out = {
|
||||
'value': None,
|
||||
'shape': dims['value'],
|
||||
'dtype': x['dtype'],
|
||||
}
|
||||
if ('min_value' in dims and 'max_value' in dims):
|
||||
min_ret_shape = dims['min_shape']
|
||||
max_ret_shape = dims['max_shape']
|
||||
out['min_shape'] = min_ret_shape
|
||||
out['max_shape'] = max_ret_shape
|
||||
return out
|
||||
|
||||
|
||||
|
|
@ -2800,6 +2824,22 @@ class Stack(PrimitiveWithInfer):
|
|||
out = {'shape': all_shape,
|
||||
'dtype': x_type[0],
|
||||
'value': infered_value}
|
||||
if ('min_value' in value and 'max_value' in value):
|
||||
min_value_array = []
|
||||
max_value_array = []
|
||||
infered_min_value = None
|
||||
infered_max_value = None
|
||||
for i in range(len(value['min_value'])):
|
||||
cur_min_value = value['min_value'][i]
|
||||
cur_max_value = value['max_value'][i]
|
||||
min_value_array.append(np.array(cur_min_value))
|
||||
max_value_array.append(np.array(cur_max_value))
|
||||
infered_min_value = np.stack(min_value_array, axis=self.axis)
|
||||
infered_max_value = np.stack(max_value_array, axis=self.axis)
|
||||
infered_min_value = tuple(infered_min_value.tolist())
|
||||
infered_max_value = tuple(infered_max_value.tolist())
|
||||
out['min_value'] = infered_min_value
|
||||
out['max_value'] = infered_max_value
|
||||
return out
|
||||
|
||||
|
||||
|
|
@ -4170,8 +4210,8 @@ class TensorScatterUpdate(PrimitiveWithInfer):
|
|||
def __init__(self):
|
||||
self.init_prim_io_names(inputs=['input_x', 'indices', 'updates'], outputs=['y'])
|
||||
|
||||
def _infer_min_max_value(self, input_x_value, indices_value, updates_value):
|
||||
"""TensorScatterUpdate infer min max value"""
|
||||
def _infer_specified_value(self, input_x_value, indices_value, updates_value):
|
||||
"""Calculate min/max value for output of TensorScatterUpdate op"""
|
||||
if isinstance(input_x_value, tuple):
|
||||
input_x_value = list(input_x_value)
|
||||
if isinstance(input_x_value, (Tensor, Tensor_)):
|
||||
|
|
@ -4184,13 +4224,11 @@ class TensorScatterUpdate(PrimitiveWithInfer):
|
|||
output = tuple(input_x.tolist())
|
||||
return output
|
||||
|
||||
def infer_min_value(self, input_x_value, indices_value, updates_value):
|
||||
"""TensorScatterUpdate infer min value"""
|
||||
return self._infer_min_max_value(input_x_value, indices_value, updates_value)
|
||||
def _infer_min_value(self, input_x_value, indices_value, updates_value):
|
||||
return self._infer_specified_value(input_x_value, indices_value, updates_value)
|
||||
|
||||
def infer_max_value(self, input_x_value, indices_value, updates_value):
|
||||
"""TensorScatterUpdate infer max value"""
|
||||
return self._infer_min_max_value(input_x_value, indices_value, updates_value)
|
||||
def _infer_max_value(self, input_x_value, indices_value, updates_value):
|
||||
return self._infer_specified_value(input_x_value, indices_value, updates_value)
|
||||
|
||||
def infer_shape(self, input_x_shape, indices_shape, updates_shape):
|
||||
if len(indices_shape) < 2:
|
||||
|
|
|
|||
|
|
@ -235,8 +235,8 @@ class Add(_MathBinaryOp):
|
|||
>>> print(output.dtype)
|
||||
Float32
|
||||
"""
|
||||
def _add_infer_special_value(self, a, b):
|
||||
"""Add infer min max value"""
|
||||
def _infer_specified_add_value(self, a, b):
|
||||
"""Calculate min/max value for output for Add op"""
|
||||
if a is not None and b is not None:
|
||||
if isinstance(a, (Tensor, Tensor_)):
|
||||
a = a.asnumpy()
|
||||
|
|
@ -249,13 +249,13 @@ class Add(_MathBinaryOp):
|
|||
return out
|
||||
return None
|
||||
|
||||
def infer_min_value(self, x, y):
|
||||
"""Add infer min value"""
|
||||
return _add_infer_special_value(x, y)
|
||||
def _infer_min_value(self, x, y):
|
||||
"""Calculate min value for output for Add op"""
|
||||
return self._infer_specified_add_value(x, y)
|
||||
|
||||
def infer_max_value(self, x, y):
|
||||
"""Add infer min value"""
|
||||
return _add_infer_special_value(x, y)
|
||||
def _infer_max_value(self, x, y):
|
||||
"""Calculate max value for output for Add op"""
|
||||
return self._infer_specified_add_value(x, y)
|
||||
|
||||
def infer_value(self, x, y):
|
||||
if x is not None and y is not None:
|
||||
|
|
@ -1937,8 +1937,8 @@ class Mul(_MathBinaryOp):
|
|||
>>> print(output)
|
||||
[ 4. 10. 18.]
|
||||
"""
|
||||
def _infer_min_max_value(self, x, y):
|
||||
"""Mul infer min max value"""
|
||||
def _infer_specified_mul_value(self, x, y):
|
||||
"""Calculate min/max value for output of Mul op"""
|
||||
if x is not None and y is not None:
|
||||
if isinstance(x, (Tensor, Tensor_)):
|
||||
x = x.asnumpy()
|
||||
|
|
@ -1951,13 +1951,13 @@ class Mul(_MathBinaryOp):
|
|||
return out
|
||||
return None
|
||||
|
||||
def infer_min_value(self, x, y):
|
||||
"""Mul infer min value"""
|
||||
return self._infer_min_max_value(x, y)
|
||||
def _infer_min_value(self, x, y):
|
||||
"""Calculate min value for output for Mul op"""
|
||||
return self._infer_specified_mul_value(x, y)
|
||||
|
||||
def infer_max_value(self, x, y):
|
||||
"""Mul infer max value"""
|
||||
return self._infer_min_max_value(x, y)
|
||||
def _infer_max_value(self, x, y):
|
||||
"""Calculate max value for output for Mul op"""
|
||||
return self._infer_specified_mul_value(x, y)
|
||||
|
||||
def infer_dtype(self, x_dtype, y_dtype):
|
||||
mul_valid_type = mstype.number_type + (mstype.bool_,)
|
||||
|
|
@ -2872,8 +2872,9 @@ class Div(_MathBinaryOp):
|
|||
>>> print(output.dtype)
|
||||
Float32
|
||||
"""
|
||||
def _div_infer_special_value(self, x, y):
|
||||
"""Div infer min max value"""
|
||||
|
||||
def _infer_specified_div_value(self, x, y):
|
||||
"""Calculate min/max value for output of Div op"""
|
||||
if x is not None and y is not None:
|
||||
if isinstance(x, (Tensor, Tensor_)):
|
||||
x = x.asnumpy()
|
||||
|
|
@ -2886,13 +2887,13 @@ class Div(_MathBinaryOp):
|
|||
return out
|
||||
return None
|
||||
|
||||
def infer_min_value(self, x, y):
|
||||
"""Div infer min value"""
|
||||
return _div_infer_special_value(x, y)
|
||||
def _infer_min_value(self, x, y):
|
||||
"""Calculate min value for output for Div op"""
|
||||
return self._infer_specified_div_value(x, y)
|
||||
|
||||
def infer_max_value(self, x, y):
|
||||
"""Div infer max value"""
|
||||
return _div_infer_special_value(x, y)
|
||||
def _infer_max_value(self, x, y):
|
||||
"""Calculate max value for output for Div op"""
|
||||
return self._infer_specified_div_value(x, y)
|
||||
|
||||
def infer_value(self, x, y):
|
||||
if x is not None and y is not None:
|
||||
|
|
|
|||
|
|
@ -599,11 +599,11 @@ class PrimitiveWithInfer(Primitive):
|
|||
has_min_value, min_values = get_specified_value(args, 'min_value')
|
||||
has_max_value, max_values = get_specified_value(args, 'max_value')
|
||||
if has_min_value and has_max_value:
|
||||
if hasattr(self, 'infer_min_value'):
|
||||
fn_infer_min_value = getattr(self, 'infer_min_value')
|
||||
if hasattr(self, '_infer_min_value'):
|
||||
fn_infer_min_value = getattr(self, '_infer_min_value')
|
||||
out['min_value'] = fn_infer_min_value(*min_values)
|
||||
if hasattr(self, 'infer_max_value'):
|
||||
fn_infer_max_value = getattr(self, 'infer_max_value')
|
||||
if hasattr(self, '_infer_max_value'):
|
||||
fn_infer_max_value = getattr(self, '_infer_max_value')
|
||||
out['max_value'] = fn_infer_max_value(*max_values)
|
||||
if not has_dynamic_shape(out['shape']):
|
||||
return out
|
||||
|
|
|
|||
Loading…
Reference in New Issue