ó
    ÀíØh+  ã                  ó’   • S SK Jr  S SKrS SKJr  S SKrS SKJr  S SKJ	r	J
r
Jr   " S S\5      r\S:X  a  \R                  " 5         gg)	é    )ÚannotationsN)ÚTestShapeInferenceHelper)ÚTensorProto)Ú	make_nodeÚmake_tensorÚmake_tensor_value_infoc                  óF   • \ rS rSrS	S jrS	S jrS	S jrS	S jrS	S jrSr	g)
ÚTestDataPropagationé   c           	     ó6  • U R                  S[        R                  S4S[        R                  S4/[        SS/S/5      [        SSS/S/5      // 5      nU R	                  U[        S[        R                  S	5      [        S[        R                  S
5      /SS9  g )NÚx)é   é   é   Úy)r   é   r   ÚShapeÚshapeÚExpandÚz©r   )r   r   r   T©Ú	data_prop)Ú_make_graphr   ÚINT32r   Ú_assert_inferredr   ÚINT64©ÚselfÚgraphs     ÚY/var/www/fran/franai/venv/lib/python3.13/site-packages/onnx/test/data_propagation_test.pyÚtest_expand_symbolic_inputÚ.TestDataPropagation.test_expand_symbolic_input   s¦   € Ø× Ñ Ø”;×$Ñ$ iÐ0°3¼×8IÑ8IÈ9Ð2UÐVä˜' C 5¨7¨)Ó4Ü˜( S¨' N°S°EÓ:ðð ó
ˆð 	×ÑØä& w´×0AÑ0AÀ4ÓHÜ& s¬K×,=Ñ,=¸yÓIðð ð 	ò 	
ó    c                óB  • U R                  S[        R                  S4/[        SS/S/5      [        SS/S/[	        S[        R
                  SS	5      S
9// 5      nU R                  U[        S[        R                  S5      [        S[        R
                  S5      /SS9  g )Nr   )r   r   é   r   r   ÚConstantOfShaper   Úvalue)r   )r   )r(   r   Tr   )	r   r   ÚFLOATr   r   r   r   r   r   r   s     r!   Ú(test_constantofshape_with_symbolic_shapeÚ<TestDataPropagation.test_constantofshape_with_symbolic_shape$   s®   € Ø× Ñ Ø”;×$Ñ$ iÐ0Ð1ä˜' C 5¨7¨)Ó4ÜØ%ØIØEÜ% g¬{×/@Ñ/@À$ÈÓMñ	ðð ó
ˆð 	×ÑØä& w´×0AÑ0AÀ4ÓHÜ& s¬K×,=Ñ,=¸yÓIðð ð 	ò 	
r$   c           	     óÌ   • [         R                  R                  S5      nU R                  U[	        S[
        R                  S5      [	        S[
        R                  S5      /SS9  g)	z8Infer the shape of z by propagating the value of xshape.zÙ
            <ir_version: 7, opset_import: [ "" : 18]>
            agraph (float[4, 1, 16] x, float[1, 8, 16] y) => () {
                xshape = Shape (x)
                z = Expand (y, xshape)
            }
        Úxshaper   r   ©r   é   é   Tr   N©ÚonnxÚparserÚparse_modelr   r   r   r   r)   ©r   Úmodels     r!   Útest_model_data_propagationÚ/TestDataPropagation.test_model_data_propagation;   sa   € ä—‘×'Ñ'ðó
ˆð 	×ÑØä& x´×1BÑ1BÀDÓIÜ& s¬K×,=Ñ,=¸zÓJðð ð 	ò 	
r$   c           	     óÌ   • [         R                  R                  S5      nU R                  U[	        S[
        R                  S5      [	        S[
        R                  S5      /SS9  g)	zxTest value-propagation through function calls.
Underlying core example is same as previous test_model_data_propagation.
a„  
            <ir_version: 7, opset_import: [ "" : 18, "local" : 1 ]>
            agraph (float[4, 1, 16] x, float[1, 8, 16] y) => () {
                xshape = local.GetShape (x)
                z = Expand (y, xshape)
            }
            <domain: "local", opset_import: [ "" : 18 ]>
            GetShape (x) => (shapeval) {
                shapeval = Shape(x)
            }
        r-   r   r   r.   Tr   Nr1   r5   s     r!   Útest_data_prop_via_functionÚ/TestDataPropagation.test_data_prop_via_functionO   sc   € ô —‘×'Ñ'ð
ó
ˆð 	×ÑØä& x´×1BÑ1BÀDÓIÜ& s¬K×,=Ñ,=¸zÓJðð ð 	ò 	
r$   c                ó4  • [         R                  R                  S5      nU R                  U[	        S[
        R                  S5      [	        S[
        R                  S5      [	        S[
        R                  S5      [	        S[
        R                  S5      /S	S
9  g)z“Test value-propagation handles multiple calls to same function correctly.
Underlying core example is same as previous test_model_data_propagation.
a×  
            <ir_version: 7, opset_import: [ "" : 18, "local" : 1 ]>
            agraph (float[4, 1, 16] x, float[1, 8, 16] y) => () {
                yshape = local.GetShape (y)
                xshape = local.GetShape (x)
                z = Expand (y, xshape)
                w = Expand (y, yshape)
            }
            <domain: "local", opset_import: [ "" : 18 ]>
            GetShape (x) => (shapeval) {
                shapeval = Shape(x)
            }
        Úyshaper   r-   r   r.   Úw)r   r/   r0   Tr   Nr1   r5   s     r!   Útest_multiple_calls_to_functionÚ3TestDataPropagation.test_multiple_calls_to_functioni   s‡   € ô —‘×'Ñ'ðó
ˆð 	×ÑØä& x´×1BÑ1BÀDÓIÜ& x´×1BÑ1BÀDÓIÜ& s¬K×,=Ñ,=¸zÓJÜ& s¬K×,=Ñ,=¸zÓJð	ð ð 	ò 		
r$   © N)ÚreturnÚNone)
Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__r"   r*   r7   r:   r?   Ú__static_attributes__rA   r$   r!   r
   r
      s   † ô
ô$
ô.
ô(
÷4
r$   r
   Ú__main__)Ú
__future__r   ÚunittestÚshape_inference_testr   Úonnx.parserr2   r   Úonnx.helperr   r   r   r
   rD   ÚmainrA   r$   r!   Ú<module>rP      sF   ðõ
 #ã õ :ã Ý ß FÑ Fôt
Ð2ô t
ðn ˆzÓØ‡M‚M…Oð r$   