API/OP (ConditionalBlock) error message enhancement (#23480)

* API (Switch) error message enhancement. 

* fix bug: dtype of out in api isfinite is set incorrectly. The dtype should be bool. 

* support tensor array create read write in dygraph
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* minor fix
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* support tensor_array_to_tensor
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* add while loop case and err msg
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* refine ut
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* Polish error Info in while_loop test=develop

* support to modify dict and list in while_loop test=develop

* polish code test=develop

* dygraph support cond op
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* unittest coverage
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* fix coverage
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* fix for coverage
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* refine TypeError msg
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* remove restrict
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* dygraph support while_loop op
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* refine assign
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As the title

Modify english document and unittest of while_loop

As the title.

This PR makes assign op support LoDTensorArray and enable the loop_vars in
while_loop to support tuple or list.

* append optimize op in the grad block of current block if current block is in control flow. test=develop

* add conditional grad op when optimizer used in control flow. test=develop

* add comment and modify typo. test=develop

* fix append_backward to support control flow. test=develop

* add test. test=develop

* fix copy_var_to_parent_block and conditional_block_grad. test=develop

* fix bug: revert to append conditional_block_grad vars to sub grad block. test=develop

* fix bug: revert to assign var to parent block even if var already is in parent block

* fix bug: consider outputs is empty. test=develop

* move _rename_grad_ out. test=develop

* modify code according to reviews from Huihuang. test=develop

* modify code according to reviews from Jinle. test=develop

As the title

Add basic while_loop

Add tests to use dy/dx to make sure the gradient values calculated by the control flow backward is correct. Also fixed bugs detected by those tests.

Fix bugs:

1. Unlike sum_op, optimizer ops don't allow uninitialized input tensor. But in conditional_block_grad_op, since the conditional_block may not run, the output gradient tensor may be uninitialized, which will cause the optimizer op error. To fix it, we should let optimizer ops support uninitialized input like sum_op or assign the uninitialized gradient to 0 when the conditional_block_grad_op doesn't run. I found there are about 10+ optimizer ops. **To be simpler, I just assign output gradient of the conditional_block_grad_op to 0 in this PR**. But it can be further explored whether we can make optimizer ops like sum_op to support uninitialized input tensor because theoretically we can speed up without the assigning in conditional_block_grad_op.

2. Infer parameter shapes during append_backward. I didn't know that all our parameters are in global block. When op_desc is inferring shapes at the sub-block, it may not know the shape of gradients of parameters whose shape information is at global block. I fixed it by inferring shapes of gradients from forward var.

This PR also did some code clean up:
1. Print the var name when sgd_op catches shape error so that it is easier to debug
2. Fix a typo: dicta -> dict

Add English doc for cond

* Commit before merging develop

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* Backup after working with Huihuang logs

* Commit before deleting Huihuang debug loggings

* Commit before debug

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* Fix bug commit

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* Backup of fixing bugs

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* Clean up code

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* Fix a bug in sum_op

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* add input type and input data type check for Print_op test=develop

* add control flow API: case. test=develop

* delete 'raise TypeError' in _error_message() and return a string. test=develop

* polish API document. test=develop

* add API switch_case. test=develop

add Nest

* modify code according to reviews:
1.Attr(branch_index) support 'uint8' and 'int64' besides 'int32'.
2.remove useless code.
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* replace fluid.layers.data with fluid.data and polish API document. test=develop

These ops are useful in control flow.

* Refine create_array api en doc

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test=document_fix


* Fix api doc example bug and polish square

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* Refine comment

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* refine API.spec

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refine the en api doc of ones, zeros, reverse, assign, increment, hsigmoid and create_py_reader_by_data ops (#20343)

* refine the en api doc of ones, zeros, reverse, increment, hsigmoid and create_py_reader_by_data ops
test=develop, test=document_preview, test=document_fix

* refine eng doc for hsigmoid and create_py_reader_by_data ops
test=develop, test=document_preview, test=document_fix

* update API.spec
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* Fix the parameter name axis of reverse op in eng doc
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* Update API.spec
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* Refine eng doc of zeros, ones, reverse and assign op
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* Update API.spec for assign, ones, zeros and reverse
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* Fix data type of reverse op in eng doc
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* Update API.spec for reverse op
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* fix Print, is_empty, read_file test=document_fix

* Refine the main comment of DynamicRNN.

* Refine the documentation of DynamicRNN's step_input function.

* Refine the documentation of DynamicRNN's static_input function.

* Refine the documentation of DynamicRNN's block function.

* Refine the documentation of DynamicRNN's memory function.

* Refine the documentation of DynamicRNN's update_memory and output function.

* Refine the code format and remove the method list.

* Refine the documentation of DynamicRNN's __call__ function.
test=develop
test=document_fix

* Minor modification.
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test=document_fix

* Fix some typo.

* Update API.spec.
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test=document_fix

* Refine the English according to the comments.

* Update API.spec.
test=develop
test=document_fix

* Fix some typo.

* Update API.spec.