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tpu_mlir_test

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Project: tpu_mlir_test
Version: 2.49
Filename: tpu_mlir_test-2.49-py3-none-any.whl
Download: [link]
Size: 12152
MD5: 9a2f746442be0e549a68950f653e67ba
SHA256: ee9a0cf2c39ffd9dc4e15f3fa65ece3b421889293461c836348c621bf7fbe1f4
Uploaded: 2024-04-26 09:36:44 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: tpu_mlir_test
Version: 2.49
Summary: Machine learning compiler based on MLIR for Sophgo TPU v2.49-20240426.
Author: SOPHGO
Author-Email: sales[at]sophgo.com
Home-Page: https://github.com/sophgo/tpu-mlir
License: 2-Clause BSD
Keywords: python3.10,unbuntu22.04,linux,tpu-mlir
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development
Platform: unbuntu22.04
Requires-Python: >=3.10,<3.11
Requires-Dist: numpy (==1.24.3)
Requires-Dist: scipy (==1.11.1)
Requires-Dist: tqdm (==4.65.0)
Requires-Dist: Pillow (==10.0.0)
Requires-Dist: plotly (==5.15.0)
Requires-Dist: opencv-python-headless (==4.8.0.74)
Requires-Dist: protobuf (==3.20.3)
Requires-Dist: graphviz (==0.20.1)
Requires-Dist: pycocotools (==2.0.6)
Requires-Dist: scikit-image (==0.21.0)
Requires-Dist: transformers (==4.31.0)
Requires-Dist: torch (==2.0.1); extra == "all"
Requires-Dist: torchvision (==0.15.2); extra == "all"
Requires-Dist: onnx (==1.14.0); extra == "all"
Requires-Dist: onnxruntime (==1.15.1); extra == "all"
Requires-Dist: onnxsim (==0.4.17); extra == "all"
Requires-Dist: six (==1.16.0); extra == "all"
Requires-Dist: tensorflow-cpu (==2.13.0); extra == "all"
Requires-Dist: tf2onnx (==1.8.4); extra == "all"
Requires-Dist: paddlepaddle (==2.5.0); extra == "all"
Requires-Dist: paddle2onnx (==1.0.8); extra == "all"
Requires-Dist: six (==1.16.0); extra == "caffe"
Requires-Dist: onnx (==1.14.0); extra == "onnx"
Requires-Dist: onnxruntime (==1.15.1); extra == "onnx"
Requires-Dist: onnxsim (==0.4.17); extra == "onnx"
Requires-Dist: paddlepaddle (==2.5.0); extra == "paddle"
Requires-Dist: paddle2onnx (==1.0.8); extra == "paddle"
Requires-Dist: tensorflow-cpu (==2.13.0); extra == "tensorflow"
Requires-Dist: tf2onnx (==1.8.4); extra == "tensorflow"
Requires-Dist: torch (==2.0.1); extra == "torch"
Requires-Dist: torchvision (==0.15.2); extra == "torch"
Provides-Extra: all
Provides-Extra: caffe
Provides-Extra: onnx
Provides-Extra: paddle
Provides-Extra: tensorflow
Provides-Extra: torch
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 14617 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tpu_mlir_test/__init__.py sha256=R8Vtf1AtS8iMa0iV_r_sSFd_nXUtrCBNVYIXjE6klvA 2463
tpu_mlir_test/entry.py sha256=OVKtLHq4WKCbwVtB8bqh50t-C1zbfakY6lUiwG8Tw_g 6337
tpu_mlir_test/entryconfig.py sha256=fmpOoUp8Nufnsy50RM9O-o6T4_rkLLA0j3S0_cqxCxg 3102
tpu_mlir_test-2.49.data/scripts/envsetup.sh sha256=ulfaR67OEc73aOiZjM3lnsiBCaRpMK2xPqSucHFhGXk 1065
tpu_mlir_test-2.49.dist-info/LICENSE sha256=BJ3f-ZSv4-KBvvGTUS5gs8MxFPmgTpnhhR1SgxBmYAQ 1622
tpu_mlir_test-2.49.dist-info/METADATA sha256=NYNppsU7bHXKGJKki1wk4aNfJ1QYfG27e2yUyvJjcrc 16718
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tpu_mlir_test-2.49.dist-info/entry_points.txt sha256=3gIv5ia6aWYWjijY08D1Prpnt9cHBE7F_ElE6PMEp2o 5090
tpu_mlir_test-2.49.dist-info/top_level.txt sha256=6xTHG0VPaunqlLCMusM6rAS2mNq-SGPC5Xy3rjtDVdo 14
tpu_mlir_test-2.49.dist-info/RECORD — —

top_level.txt

tpu_mlir_test

entry_points.txt

[console_scripts]
assign_output = tpu_mlir_test.entry:assign_output
assign_output.py = tpu_mlir_test.entry:assign_output
bmodel_checker = tpu_mlir_test.entry:bmodel_checker
bmodel_checker.py = tpu_mlir_test.entry:bmodel_checker
bmodel_dis = tpu_mlir_test.entry:bmodel_dis
bmodel_dis.py = tpu_mlir_test.entry:bmodel_dis
bmrt_test = tpu_mlir_test.entry:bmrt_test
bmrt_test.py = tpu_mlir_test.entry:bmrt_test
classify_DenseNet = tpu_mlir_test.entry:classify_DenseNet
classify_DenseNet.py = tpu_mlir_test.entry:classify_DenseNet
classify_LeNet = tpu_mlir_test.entry:classify_LeNet
classify_LeNet.py = tpu_mlir_test.entry:classify_LeNet
classify_efficientnet = tpu_mlir_test.entry:classify_efficientnet
classify_efficientnet.py = tpu_mlir_test.entry:classify_efficientnet
classify_inception_v3 = tpu_mlir_test.entry:classify_inception_v3
classify_inception_v3.py = tpu_mlir_test.entry:classify_inception_v3
classify_mobilenet_v2 = tpu_mlir_test.entry:classify_mobilenet_v2
classify_mobilenet_v2.py = tpu_mlir_test.entry:classify_mobilenet_v2
classify_resnet18 = tpu_mlir_test.entry:classify_resnet18
classify_resnet18.py = tpu_mlir_test.entry:classify_resnet18
classify_resnet50 = tpu_mlir_test.entry:classify_resnet50
classify_resnet50.py = tpu_mlir_test.entry:classify_resnet50
classify_resnext50 = tpu_mlir_test.entry:classify_resnext50
classify_resnext50.py = tpu_mlir_test.entry:classify_resnext50
classify_shufflenet = tpu_mlir_test.entry:classify_shufflenet
classify_shufflenet.py = tpu_mlir_test.entry:classify_shufflenet
classify_squeezenet = tpu_mlir_test.entry:classify_squeezenet
classify_squeezenet.py = tpu_mlir_test.entry:classify_squeezenet
classify_vgg16 = tpu_mlir_test.entry:classify_vgg16
classify_vgg16.py = tpu_mlir_test.entry:classify_vgg16
classify_xception = tpu_mlir_test.entry:classify_xception
classify_xception.py = tpu_mlir_test.entry:classify_xception
code_stripper = tpu_mlir_test.entry:code_stripper
code_stripper.py = tpu_mlir_test.entry:code_stripper
cvimodel_debug = tpu_mlir_test.entry:cvimodel_debug
cvimodel_debug.py = tpu_mlir_test.entry:cvimodel_debug
detect_pp_picodet = tpu_mlir_test.entry:detect_pp_picodet
detect_pp_picodet.py = tpu_mlir_test.entry:detect_pp_picodet
detect_pp_yoloe = tpu_mlir_test.entry:detect_pp_yoloe
detect_pp_yoloe.py = tpu_mlir_test.entry:detect_pp_yoloe
detect_pp_yolox = tpu_mlir_test.entry:detect_pp_yolox
detect_pp_yolox.py = tpu_mlir_test.entry:detect_pp_yolox
detect_retinaface = tpu_mlir_test.entry:detect_retinaface
detect_retinaface.py = tpu_mlir_test.entry:detect_retinaface
detect_ssd-12 = tpu_mlir_test.entry:detect_ssd_12
detect_ssd-12.py = tpu_mlir_test.entry:detect_ssd_12
detect_ultraface = tpu_mlir_test.entry:detect_ultraface
detect_ultraface.py = tpu_mlir_test.entry:detect_ultraface
detect_yolov3 = tpu_mlir_test.entry:detect_yolov3
detect_yolov3.py = tpu_mlir_test.entry:detect_yolov3
detect_yolov5 = tpu_mlir_test.entry:detect_yolov5
detect_yolov5.py = tpu_mlir_test.entry:detect_yolov5
fp_forward = tpu_mlir_test.entry:fp_forward
fp_forward.py = tpu_mlir_test.entry:fp_forward
gen_rand_input = tpu_mlir_test.entry:gen_rand_input
gen_rand_input.py = tpu_mlir_test.entry:gen_rand_input
gen_shell = tpu_mlir_test.entry:gen_shell
gen_shell.py = tpu_mlir_test.entry:gen_shell
mlir2graph = tpu_mlir_test.entry:mlir2graph
mlir2graph.py = tpu_mlir_test.entry:mlir2graph
mlir2onnx = tpu_mlir_test.entry:mlir2onnx
mlir2onnx.py = tpu_mlir_test.entry:mlir2onnx
mlir_cut = tpu_mlir_test.entry:mlir_cut
mlir_cut.py = tpu_mlir_test.entry:mlir_cut
model_deploy = tpu_mlir_test.entry:model_deploy
model_deploy.py = tpu_mlir_test.entry:model_deploy
model_eval = tpu_mlir_test.entry:model_eval
model_eval.py = tpu_mlir_test.entry:model_eval
model_eval_imagenet = tpu_mlir_test.entry:model_eval_imagenet
model_eval_imagenet.py = tpu_mlir_test.entry:model_eval_imagenet
model_inference_cpu = tpu_mlir_test.entry:model_inference_cpu
model_inference_cpu.py = tpu_mlir_test.entry:model_inference_cpu
model_runner = tpu_mlir_test.entry:model_runner
model_runner.py = tpu_mlir_test.entry:model_runner
model_tool = tpu_mlir_test.entry:model_tool
model_tool.py = tpu_mlir_test.entry:model_tool
model_transform = tpu_mlir_test.entry:model_transform
model_transform.py = tpu_mlir_test.entry:model_transform
npz_tool = tpu_mlir_test.entry:npz_tool
npz_tool.py = tpu_mlir_test.entry:npz_tool
run_calibration = tpu_mlir_test.entry:run_calibration
run_calibration.py = tpu_mlir_test.entry:run_calibration
run_qtable = tpu_mlir_test.entry:run_qtable
run_qtable.py = tpu_mlir_test.entry:run_qtable
run_sensitive_layer = tpu_mlir_test.entry:run_sensitive_layer
run_sensitive_layer.py = tpu_mlir_test.entry:run_sensitive_layer
seg_humanseg = tpu_mlir_test.entry:seg_humanseg
seg_humanseg.py = tpu_mlir_test.entry:seg_humanseg
tdb = tpu_mlir_test.entry:tdb
tdb.py = tpu_mlir_test.entry:tdb
tpu_profile = tpu_mlir_test.entry:tpu_profile
tpu_profile.py = tpu_mlir_test.entry:tpu_profile
tpuc-opt = tpu_mlir_test.entry:tpuc_opt
tpuc-opt.py = tpu_mlir_test.entry:tpuc_opt
visual = tpu_mlir_test.entry:visual
visual.py = tpu_mlir_test.entry:visual