Closed ipshita-saxena closed 2 years ago
I have deployed tensorflow model , while doing predictions on images im getting this error
An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (400) from primary with message "{ "error": "2 root error(s) found.\n (0) Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [1,20,20,256] vs. shape[1] = [1,26,26,256]\n\t [[{{node functional_1/tf_op_layer_concat_6/concat_6}}]]\n\t [[StatefulPartitionedCall/_1121]]\n (1) Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [1,20,20,256] vs. shape[1] = [1,26,26,256]\n\t [[{{node functional_1/tf_op_layer_concat_6/concat_6}}]]\n0 successful operations.\n0 derived errors ignored." }".
Hi @ipshita-saxena, i have updated the repo with new TF version. Can you have a try and confirm it works now?
I have deployed tensorflow model , while doing predictions on images im getting this error
An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (400) from primary with message "{ "error": "2 root error(s) found.\n (0) Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [1,20,20,256] vs. shape[1] = [1,26,26,256]\n\t [[{{node functional_1/tf_op_layer_concat_6/concat_6}}]]\n\t [[StatefulPartitionedCall/_1121]]\n (1) Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [1,20,20,256] vs. shape[1] = [1,26,26,256]\n\t [[{{node functional_1/tf_op_layer_concat_6/concat_6}}]]\n0 successful operations.\n0 derived errors ignored." }".