
    bIg+                        d dl mZ d dlZd dlmZ d dlZd dlmZ d dlm	Z	m
Z
mZ  G d de      Zedk(  r ej                          yy)	    )annotationsN)TestShapeInferenceHelper)TensorProto)	make_nodemake_tensormake_tensor_value_infoc                  4    e Zd ZddZddZddZddZddZy)TestDataPropagationc           	     <   | j                  dt        j                  dfdt        j                  dfgt        ddgdg      t        dddgdg      gg       }| j	                  |t        dt        j                  d	      t        dt        j                  d
      gd       y )Nx)         y)r      r   ShapeshapeExpandzr   )r   r   r   T	data_prop)_make_graphr   INT32r   _assert_inferredr   INT64selfgraphs     \/var/www/html/answerous/venv/lib/python3.12/site-packages/onnx/test/data_propagation_test.pytest_expand_symbolic_inputz.TestDataPropagation.test_expand_symbolic_input   s      ;$$i038I8I92UV'C57)4(S'NSE: 
 	&w0A0A4H&sK,=,=yI  	 	
    c                N   | j                  dt        j                  dfgt        ddgdg      t        ddgdgt	        dt        j
                  dd	      
      gg       }| j                  |t        dt        j                  d      t        dt        j
                  d      gd       y )Nr   )r   r      r   r   ConstantOfShaper   value)r   )r   )r&   r   Tr   )	r   r   FLOATr   r   r   r   r   r   r   s     r    (test_constantofshape_with_symbolic_shapez<TestDataPropagation.test_constantofshape_with_symbolic_shape$   s      ;$$i01'C57)4%IE%g{/@/@$M	 
 	&w0A0A4H&sK,=,=yI  	 	
r"   c           	         t         j                  j                  d      }| j                  |t	        dt
        j                  d      t	        dt
        j                  d      gd       y)	z8Infer the shape of z by propagating the value of xshape.z
            <ir_version: 7, opset_import: [ "" : 18]>
            agraph (float[4, 1, 16] x, float[1, 8, 16] y) => () {
                xshape = Shape (x)
                z = Expand (y, xshape)
            }
        xshaper   r   r         Tr   Nonnxparserparse_modelr   r   r   r   r'   r   models     r    test_model_data_propagationz/TestDataPropagation.test_model_data_propagation;   sa    ''
 	&x1B1BDI&sK,=,=zJ  	 	
r"   c           	         t         j                  j                  d      }| j                  |t	        dt
        j                  d      t	        dt
        j                  d      gd       y)	zTest 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   Nr.   r2   s     r    test_data_prop_via_functionz/TestDataPropagation.test_data_prop_via_functionO   sc     ''

 	&x1B1BDI&sK,=,=zJ  	 	
r"   c                :   t         j                  j                  d      }| j                  |t	        dt
        j                  d      t	        dt
        j                  d      t	        dt
        j                  d      t	        dt
        j                  d      gd	
       y)zTest 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)
            }
        yshaper   r*   r   r+   w)r   r,   r-   Tr   Nr.   r2   s     r    test_multiple_calls_to_functionz3TestDataPropagation.test_multiple_calls_to_functioni   s     ''
 	&x1B1BDI&x1B1BDI&sK,=,=zJ&sK,=,=zJ	  	 		
r"   N)returnNone)__name__
__module____qualname__r!   r(   r4   r6   r:    r"   r    r
   r
      s    
$
.
(
4
r"   r
   __main__)
__future__r   unittestshape_inference_testr   onnx.parserr/   r   onnx.helperr   r   r   r
   r=   mainr@   r"   r    <module>rH      sH   
 #  :   F Ft
2 t
n zHMMO r"   