saymrwulf/onnxruntime
1
0
Fork 0
mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-06-03 23:49:44 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Fix typos

Browse source
This commit is contained in:
chausner 2022-04-14 16:34:51 +00:00 committed by Changming Sun
parent 5216a43c9d
commit c2b4054c74
7 changed files with 9 additions and 9 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
onnxruntime/python/tools/transformers/notebooks/Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb
View file

@ -663,7 +663,7 @@
"Graph pruned: 0 inputs, 0 outputs and 312 nodes are removed\n",
"postprocess: remove Reshape count:48\n",
"Fused FastGelu(add bias) count: 12\n",
"opset verion: 11\n",
"opset version: 11\n",
"Output model to .\\onnx_models\\gpt2_past_fp32.onnx\n",
"batch_size=1, past_sequence_length=8, torch_latency=40.68, ort_latency=24.07, ort_io_latency=24.03\n",
"batch_size=1, past_sequence_length=16, torch_latency=40.87, ort_latency=23.14, ort_io_latency=22.27\n",
@ -731,7 +731,7 @@
"Graph pruned: 0 inputs, 0 outputs and 312 nodes are removed\n",
"postprocess: remove Reshape count:48\n",
"Fused FastGelu(add bias) count: 12\n",
"opset verion: 11\n",
"opset version: 11\n",
"Output model to .\\onnx_models\\gpt2_past_int8.onnx\n",
"quantizing model...\n",
"Size of full precision ONNX model(MB):621.9615631103516\n",

2
onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_CPU.ipynb
View file

@ -434,7 +434,7 @@
" prune_graph: Graph pruned: 0 inputs, 0 outputs and 0 nodes are removed\n",
" apply: Fused BiasGelu count: 12\n",
" apply: Fused SkipLayerNormalization(add bias) count: 24\n",
" optimize: opset verion: 11\n",
" optimize: opset version: 11\n",
" save_model_to_file: Sort graphs in topological order\n",
" save_model_to_file: Output model to ..\\onnx_models\\bert-base-cased-squad_opt_cpu.onnx\n",
"get_fused_operator_statistics: Optimized operators:{'EmbedLayerNormalization': 1, 'Attention': 12, 'Gelu': 0, 'FastGelu': 0, 'BiasGelu': 12, 'LayerNormalization': 0, 'SkipLayerNormalization': 24}\n",

4
onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb
View file

@ -661,7 +661,7 @@
" prune_graph: Graph pruned: 0 inputs, 0 outputs and 0 nodes are removed\n",
" apply: Fused BiasGelu count: 24\n",
" apply: Fused SkipLayerNormalization(add bias) count: 48\n",
" optimize: opset verion: 11\n",
" optimize: opset version: 11\n",
" save_model_to_file: Sort graphs in topological order\n",
" save_model_to_file: Output model to ./onnx/bert-base-cased-squad_opt_gpu_fp32.onnx\n",
"get_fused_operator_statistics: Optimized operators:{'EmbedLayerNormalization': 1, 'Attention': 24, 'Gelu': 0, 'FastGelu': 0, 'BiasGelu': 24, 'LayerNormalization': 0, 'SkipLayerNormalization': 48}\n",
@ -939,7 +939,7 @@
" prune_graph: Graph pruned: 0 inputs, 0 outputs and 0 nodes are removed\n",
" apply: Fused BiasGelu count: 24\n",
" apply: Fused SkipLayerNormalization(add bias) count: 48\n",
" optimize: opset verion: 11\n",
" optimize: opset version: 11\n",
" save_model_to_file: Sort graphs in topological order\n",
" save_model_to_file: Output model to ./onnx/bert-base-cased-squad_opt_gpu_fp16.onnx\n",
"get_fused_operator_statistics: Optimized operators:{'EmbedLayerNormalization': 1, 'Attention': 24, 'Gelu': 0, 'FastGelu': 0, 'BiasGelu': 24, 'LayerNormalization': 0, 'SkipLayerNormalization': 48}\n",

2
onnxruntime/python/tools/transformers/onnx_model_bert.py
View file

@ -350,7 +350,7 @@ class BertOnnxModel(OnnxModel):
if add_dynamic_axes:
self.use_dynamic_axes()
logger.info(f"opset verion: {self.get_opset_version()}")
logger.info(f"opset version: {self.get_opset_version()}")
def get_fused_operator_statistics(self):
"""

2
onnxruntime/test/ir/schema_registry_manager_test.cc
View file

@ -102,7 +102,7 @@ TEST(SchemaRegistryManager, OpsetRegTest) {
ASSERT_TRUE(manager.GetSchema("Op2", 1, "Domain1")->since_version() == 1);
ASSERT_TRUE(manager.GetSchema("Op2", 2, "Domain1")->since_version() == 1);
// Add a new operator set which is verion 5, with a baseline of version 4, meaning that
// Add a new operator set which is version 5, with a baseline of version 4, meaning that
// there is a gap at version 3.
std::shared_ptr<onnxruntime::OnnxRuntimeOpSchemaRegistry> registryV5 = std::make_shared<OnnxRuntimeOpSchemaRegistry>();
manager.RegisterRegistry(registryV5);

2
onnxruntime/test/python/transformers/test_data/bert_squad_tensorflow2.1_keras2onnx_opset11/generate_tiny_keras2onnx_bert_models.py
View file

@ -316,7 +316,7 @@ def main():
bert_model.update_graph()
bert_model.remove_unused_constant()
print("opset verion", bert_model.model.opset_import[0].version)
print("opset version", bert_model.model.opset_import[0].version)
with open(args.output, "wb") as out:
out.write(bert_model.model.SerializeToString())

2
onnxruntime/test/python/transformers/test_data/gpt2_pytorch1.5_opset11/generate_tiny_gpt2_model.py
View file

@ -344,7 +344,7 @@ def main():
bert_model.update_graph()
bert_model.remove_unused_constant()
print("opset verion", bert_model.model.opset_import[0].version)
print("opset version", bert_model.model.opset_import[0].version)
with open(args.output, "wb") as out:
out.write(bert_model.model.SerializeToString())