
import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
UpperCAmelCase__   :					List[str]												=				'.'

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
UpperCAmelCase__   :					Union[str, Any]												=				[
    'Assert',
    'AssignVariableOp',
    'EmptyTensorList',
    'MergeV2Checkpoints',
    'ReadVariableOp',
    'ResourceGather',
    'RestoreV2',
    'SaveV2',
    'ShardedFilename',
    'StatefulPartitionedCall',
    'StaticRegexFullMatch',
    'VarHandleOp',
]

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: List[Any]     =     SavedModel()
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     []

							with open(os.path.join(_snake_case     ,"""utils"""     ,"""tf_ops"""     ,"""onnx.json"""		)		) as f:
														SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     json.load(_snake_case		)["""opsets"""]

							for i in range(1     ,opset + 1		):
														onnx_ops.extend(onnx_opsets[str(_snake_case		)]		)

							with open(_snake_case     ,"""rb"""		) as f:
														saved_model.ParseFromString(f.read()		)

							SCREAMING_SNAKE_CASE__		: Tuple     =     set()

							# Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
							for meta_graph in saved_model.meta_graphs:
														# Add operations in the graph definition
														model_op_names.update(node.op for node in meta_graph.graph_def.node		)

														# Go through the functions in the graph definition
														for func in meta_graph.graph_def.library.function:
																					# Add operations in each function
																					model_op_names.update(node.op for node in func.node_def		)

    # Convert to list, sorted if you want
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     sorted(_snake_case		)
							SCREAMING_SNAKE_CASE__		: int     =     []

							for op in model_op_names:
														if op not in onnx_ops and op not in INTERNAL_OPS:
																					incompatible_ops.append(_snake_case		)

							if strict and len(_snake_case		) > 0:
														raise Exception(f'''Found the following incompatible ops for the opset {opset}:\n''' + incompatible_ops		)
							elif len(_snake_case		) > 0:
														print(f'''Found the following incompatible ops for the opset {opset}:'''		)
														print(*_snake_case     ,sep="""\n"""		)
							else:
														print(f'''The saved model {saved_model_path} can properly be converted with ONNX.'''		)


if __name__ == "__main__":
					UpperCAmelCase__   :					Optional[int]												=				argparse.ArgumentParser()
					parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
					parser.add_argument(
					    '--opset', default=1_2, type=int, help='The ONNX opset against which the model has to be tested.'
					)
					parser.add_argument(
					    '--framework', choices=['onnx'], default='onnx', help='Frameworks against which to test the saved model.'
					)
					parser.add_argument(
					    '--strict', action='store_true', help='Whether make the checking strict (raise errors) or not (raise warnings)'
					)
					UpperCAmelCase__   :					int												=				parser.parse_args()

					if args.framework == "onnx":
										onnx_compliancy(args.saved_model_path, args.strict, args.opset)






"""simple docstring"""




from manim import *



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				def 			__magic_name__					(self					)      ->	Any:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Dict     =     Rectangle(height=0.5     , width=0.5					)
											SCREAMING_SNAKE_CASE__		: Dict     =     Rectangle(height=0.46     , width=0.46					).set_stroke(width=0					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     Rectangle(height=0.25     , width=0.25					)

											SCREAMING_SNAKE_CASE__		: Any     =     [mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: int     =     [mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: Any     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Any     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     VGroup(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: List[str]     =     Text("""CPU"""     , font_size=24					)
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     Group(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0.5     , aligned_edge=SCREAMING_SNAKE_CASE__					)
											cpu.move_to([-2.5, -0.5, 0]					)
											self.add(SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: List[Any]     =     [mem.copy() for i in range(4					)]
											SCREAMING_SNAKE_CASE__		: List[Any]     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Any     =     Text("""GPU"""     , font_size=24					)
											SCREAMING_SNAKE_CASE__		: int     =     Group(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0.5     , aligned_edge=SCREAMING_SNAKE_CASE__					)
											gpu.move_to([-1, -1, 0]					)
											self.add(SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: List[Any]     =     [mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)

											SCREAMING_SNAKE_CASE__		: Tuple     =     Text("""Model"""     , font_size=24					)
											SCREAMING_SNAKE_CASE__		: Dict     =     Group(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0.5     , aligned_edge=SCREAMING_SNAKE_CASE__					)
											model.move_to([3, -1.0, 0]					)
											self.add(SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     []
											SCREAMING_SNAKE_CASE__		: Any     =     []

											for i, rect in enumerate(SCREAMING_SNAKE_CASE__					):
																		SCREAMING_SNAKE_CASE__		: List[str]     =     fill.copy().set_fill(SCREAMING_SNAKE_CASE__     , opacity=0.8					)
																		target.move_to(SCREAMING_SNAKE_CASE__					)
																		model_arr.append(SCREAMING_SNAKE_CASE__					)

																		SCREAMING_SNAKE_CASE__		: List[str]     =     Rectangle(height=0.46     , width=0.46					).set_stroke(width=0.0					).set_fill(SCREAMING_SNAKE_CASE__     , opacity=0.8					)
																		cpu_target.move_to(cpu_left_col_base[i]					)
																		model_cpu_arr.append(SCREAMING_SNAKE_CASE__					)

											self.add(*SCREAMING_SNAKE_CASE__     , *SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Tuple     =     [meta_mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: List[str]     =     [meta_mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: Any     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: int     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     VGroup(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     Text("""Disk"""     , font_size=24					)
											SCREAMING_SNAKE_CASE__		: Any     =     Group(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0.5     , aligned_edge=SCREAMING_SNAKE_CASE__					)
											disk.move_to([-4, -1.25, 0]					)
											self.add(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Any     =     Square(side_length=2.2					)
											key.move_to([-5, 2, 0]					)

											SCREAMING_SNAKE_CASE__		: List[str]     =     MarkupText(
											    F'''<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model'''     , font_size=18     , )

											key_text.move_to([-5, 2.4, 0]					)

											self.add(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Any     =     MarkupText(
											    F'''<span fgcolor=\'{BLUE}\'>●</span> Checkpoint'''     , font_size=18     , )

											blue_text.next_to(SCREAMING_SNAKE_CASE__     , DOWN * 2.4     , aligned_edge=key_text.get_left()					)
											self.add(SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     MarkupText(
											    F'''Now watch as an input is passed through the model\nand how the memory is utilized and handled.'''     , font_size=24     , )
											step_a.move_to([2, 2, 0]					)

											self.play(Write(SCREAMING_SNAKE_CASE__					)					)

											SCREAMING_SNAKE_CASE__		: Dict     =     Square(0.3					)
											input.set_fill(SCREAMING_SNAKE_CASE__     , opacity=1.0					)
											input.set_stroke(width=0.0					)
											input.next_to(model_base[0]     , SCREAMING_SNAKE_CASE__     , buff=0.5					)

											self.play(Write(SCREAMING_SNAKE_CASE__					)					)

											input.generate_target()
											input.target.next_to(model_arr[0]     , direction=SCREAMING_SNAKE_CASE__     , buff=0.02					)
											self.play(MoveToTarget(SCREAMING_SNAKE_CASE__					)					)

											self.play(FadeOut(SCREAMING_SNAKE_CASE__					)					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     Arrow(start=SCREAMING_SNAKE_CASE__     , end=SCREAMING_SNAKE_CASE__     , color=SCREAMING_SNAKE_CASE__     , buff=0.5					)
											a.next_to(model_arr[0].get_left()     , SCREAMING_SNAKE_CASE__     , buff=0.2					)

											model_cpu_arr[0].generate_target()
											model_cpu_arr[0].target.move_to(gpu_rect[0]					)

											SCREAMING_SNAKE_CASE__		: Tuple     =     MarkupText(
											    F'''As the input reaches a layer, the hook triggers\nand weights are moved from the CPU\nto the GPU and back.'''     , font_size=24     , )
											step_a.move_to([2, 2, 0]					)

											self.play(Write(SCREAMING_SNAKE_CASE__     , run_time=3					)					)

											SCREAMING_SNAKE_CASE__		: Tuple     =     {"""run_time""": 1, """fade_in""": True, """fade_out""": True, """buff""": 0.02}

											self.play(
											    Write(SCREAMING_SNAKE_CASE__					)     , Circumscribe(model_arr[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(model_cpu_arr[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(gpu_rect[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , )
											self.play(MoveToTarget(model_cpu_arr[0]					)					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     a.copy()
											for i in range(6					):
																		a_c.next_to(model_arr[i].get_right() + 0.02     , SCREAMING_SNAKE_CASE__     , buff=0.2					)

																		input.generate_target()
																		input.target.move_to(model_arr[i].get_right() + 0.02					)

																		SCREAMING_SNAKE_CASE__		: Optional[Any]     =     AnimationGroup(
																		    FadeOut(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , MoveToTarget(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , FadeIn(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , lag_ratio=0.2					)

																		self.play(SCREAMING_SNAKE_CASE__					)

																		model_cpu_arr[i].generate_target()
																		model_cpu_arr[i].target.move_to(cpu_left_col_base[i]					)

																		if i < 5:
																									model_cpu_arr[i + 1].generate_target()
																									model_cpu_arr[i + 1].target.move_to(gpu_rect[0]					)
																									if i >= 1:
																																SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     0.7

																									self.play(
																									    Circumscribe(model_arr[i]     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(cpu_left_col_base[i]     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(cpu_left_col_base[i + 1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(gpu_rect[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(model_arr[i + 1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , )
																									if i < 1:
																																self.play(
																																    MoveToTarget(model_cpu_arr[i]					)     , MoveToTarget(model_cpu_arr[i + 1]					)     , )
																									else:
																																self.play(
																																    MoveToTarget(model_cpu_arr[i]     , run_time=0.7					)     , MoveToTarget(model_cpu_arr[i + 1]     , run_time=0.7					)     , )
																		else:
																									model_cpu_arr[i].generate_target()
																									model_cpu_arr[i].target.move_to(cpu_left_col_base[-1]					)
																									input.generate_target()
																									input.target.next_to(model_arr[-1].get_right()     , RIGHT + 0.02     , buff=0.2					)

																									self.play(
																									    Circumscribe(model_arr[-1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(cpu_left_col_base[-1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(gpu_rect[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , )

																									self.play(MoveToTarget(model_cpu_arr[i]					)					)

																		SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     a_c
																		SCREAMING_SNAKE_CASE__		: Optional[Any]     =     a_c.copy()

											input.generate_target()
											input.target.next_to(model_base[-1]     , RIGHT + 0.02     , buff=0.5					)
											self.play(
											    FadeOut(SCREAMING_SNAKE_CASE__					)     , FadeOut(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , )

											SCREAMING_SNAKE_CASE__		: Dict     =     MarkupText(F'''Inference on a model too large for GPU memory\nis successfully completed.'''     , font_size=24					)
											step_a.move_to([2, 2, 0]					)

											self.play(Write(SCREAMING_SNAKE_CASE__     , run_time=3					)     , MoveToTarget(SCREAMING_SNAKE_CASE__					)					)

											self.wait()




