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125 lines
4.5 KiB
Python
125 lines
4.5 KiB
Python
#!/usr/bin/python
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#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Script to dump TensorFlow weights in TRT v1 and v2 dump format.
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# The V1 format is for TensorRT 4.0. The V2 format is for TensorRT 4.0 and later.
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import sys
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import struct
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import argparse
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try:
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import tensorflow as tf
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from tensorflow.python import pywrap_tensorflow
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except ImportError as err:
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sys.stderr.write("""Error: Failed to import module ({})""".format(err))
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sys.exit()
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parser = argparse.ArgumentParser(description="TensorFlow Weight Dumper")
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parser.add_argument(
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"-m",
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"--model",
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required=True,
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help="The checkpoint file basename, example basename(model.ckpt-766908.data-00000-of-00001) -> model.ckpt-766908",
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)
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parser.add_argument("-o", "--output", required=True, help="The weight file to dump all the weights to.")
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parser.add_argument("-1", "--wtsv1", required=False, default=False, type=bool, help="Dump the weights in the wts v1.")
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opt = parser.parse_args()
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if opt.wtsv1:
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print("Outputting the trained weights in TensorRT's wts v1 format. This format is documented as:")
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print("Line 0: <number of buffers in the file>")
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print("Line 1-Num: [buffer name] [buffer type] [buffer size] <hex values>")
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else:
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print("Outputting the trained weights in TensorRT's wts v2 format. This format is documented as:")
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print("Line 0: <number of buffers in the file>")
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print("Line 1-Num: [buffer name] [buffer type] [(buffer shape{e.g. (1, 2, 3)}] <buffer shaped size bytes of data>")
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inputbase = opt.model
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outputbase = opt.output
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def float_to_hex(f):
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return hex(struct.unpack("<I", struct.pack("<f", f))[0])
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def getTRTType(tensor):
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if tf.as_dtype(tensor.dtype) == tf.float32:
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return 0
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if tf.as_dtype(tensor.dtype) == tf.float16:
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return 1
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if tf.as_dtype(tensor.dtype) == tf.int8:
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return 2
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if tf.as_dtype(tensor.dtype) == tf.int32:
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return 3
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print("Tensor data type of %s is not supported in TensorRT" % (tensor.dtype))
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sys.exit()
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try:
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# Open output file
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if opt.wtsv1:
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outputFileName = outputbase + ".wts"
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else:
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outputFileName = outputbase + ".wts2"
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outputFile = open(outputFileName, "w")
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# read vars from checkpoint
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reader = pywrap_tensorflow.NewCheckpointReader(inputbase)
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var_to_shape_map = reader.get_variable_to_shape_map()
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# Record count of weights
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count = 0
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for key in sorted(var_to_shape_map):
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count += 1
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outputFile.write("%s\n" % (count))
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# Dump the weights in either v1 or v2 format
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for key in sorted(var_to_shape_map):
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tensor = reader.get_tensor(key)
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file_key = key.replace("/", "_")
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typeOfElem = getTRTType(tensor)
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val = tensor.shape
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if opt.wtsv1:
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val = tensor.size
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print("%s %s %s " % (file_key, typeOfElem, val))
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flat_tensor = tensor.flatten()
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outputFile.write("%s 0 %s " % (file_key, val))
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if opt.wtsv1:
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for weight in flat_tensor:
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hexval = float_to_hex(float(weight))
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outputFile.write("%s " % (hexval[2:]))
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else:
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outputFile.write(flat_tensor.tobytes())
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outputFile.write("\n")
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outputFile.close()
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except Exception as e: # pylint: disable=broad-except
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print(str(e))
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if "corrupted compressed block contents" in str(e):
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print("It's likely that your checkpoint file has been compressed " "with SNAPPY.")
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if "Data loss" in str(e) and (any([e in inputbase for e in [".index", ".meta", ".data"]])):
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proposed_file = ".".join(inputbase.split(".")[0:-1])
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v2_file_error_template = """
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It's likely that this is a V2 checkpoint and you need to provide the filename
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*prefix*. Try removing the '.' and extension. Try:
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inspect checkpoint --file_name = {}"""
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print(v2_file_error_template.format(proposed_file))
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