wehub-resource-sync
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
#
|
|
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
|
|
from polygraphy import util
|
|
from polygraphy.logger import G_LOGGER
|
|
|
|
|
|
def check_inputs(feed_dict, input_metadata):
|
|
"""
|
|
Checks the provided `feed_dict` against expected input metadata.
|
|
|
|
Args:
|
|
feed_dict (Dict[str, Union[DeviceView, numpy.ndarray, torch.Tensor]]):
|
|
A mapping of input names to arrays.
|
|
input_metadata (TensorMetadata):
|
|
The expected input metadata.
|
|
"""
|
|
util.check_sequence_contains(
|
|
feed_dict.keys(), input_metadata.keys(), name="input data", items_name="inputs"
|
|
)
|
|
|
|
for name, inp in feed_dict.items():
|
|
meta = input_metadata[name]
|
|
|
|
# The "buffer" might just be a pointer, in which case we can't do any further checks with it, so we skip it.
|
|
if isinstance(inp, int):
|
|
continue
|
|
|
|
dtype = util.array.dtype(inp)
|
|
if dtype != meta.dtype:
|
|
G_LOGGER.critical(
|
|
f"Input tensor: {name} | Received unexpected dtype: {dtype}.\nNote: Expected type: {meta.dtype}"
|
|
)
|
|
|
|
shape = util.array.shape(inp)
|
|
if not util.is_valid_shape_override(shape, meta.shape):
|
|
G_LOGGER.critical(
|
|
f"Input tensor: {name} | Received incompatible shape: {shape}.\nNote: Expected a shape compatible with: {meta.shape}"
|
|
)
|