fix tf cast warnings

Author: refraction-ray

CHANGELOG.md

@@ -16,13 +16,19 @@
 
 - Add end to end infrastructures and methods for classical shadow in `shadows.py`
 
+- Add classical shadow tutorial
+
+- Add NN-VQE tutorial
+
 ### Fixed
 
 - improve the `adaptive_vmap` to support internal jit and pytree output
 
-- fix `pauli_gates` dtype unchange issue when set new dtype (not recommend to use this property)
+- fix `pauli_gates` dtype unchange issue when set new dtype (not recommend to use this attr anymore)
 
 - fix rem `apply_correction` bug when non-numpy backend is set
+
+- fix tf warning for `cast` with higher version of tf
 ### Changed
 
 - The static method `BaseCircuit.copy` is renamed as `BaseCircuit.copy_nodes` (breaking changes)

README.md

@@ -205,6 +205,8 @@ We also have [Docker support](/docker).
 
   - Reusable common circuit/measurement/problem templates and patterns.
 
+  - Jittable classical shadow infrastructures.
+
   - SOTA quantum algorithm and model implementations.
 
   - Support hybrid workflows and pipelines with CPU/GPU/QPU hardware from local/cloud/hpc resources using tf/torch/jax/cupy/numpy frameworks all at the same time.

tensorcircuit/backends/tensorflow_backend.py

@@ -4,6 +4,7 @@
 # pylint: disable=invalid-name
 
 import os
+import re
 from functools import reduce, partial
 from operator import mul
 from typing import Any, Callable, Optional, Sequence, Tuple, Union
@@ -378,6 +379,9 @@ def __init__(self) -> None:
         tf.sparse.SparseTensor.__add__ = tf.sparse.add
         self.minor = int(tf.__version__.split(".")[1])
         self.name = "tensorflow"
+        logger = tf.get_logger()  # .setLevel('ERROR')
+        logger.addFilter(lambda s: not re.match(".*You are casting.*", s.getMessage()))
+        # ignore casting warning by logger
 
     def eye(
         self, N: int, dtype: Optional[str] = None, M: Optional[int] = None