| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/tools/caffe_converter/ |
| H A D | convert_caffe_modelzoo.py | 22 from convert_model import convert_model
149 convert_model(prototxt, caffemodel, model_name)
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| H A D | run.sh | 36 …python `dirname $0`/convert_model.py VGG_ILSVRC_19_layers_deploy.prototxt VGG_ILSVRC_19_layers.caf…
47 …python `dirname $0`/convert_model.py VGG_ILSVRC_16_layers_deploy.prototxt VGG_ILSVRC_16_layers.caf…
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| H A D | compare_layers.py | 97 from convert_model import convert_model
128 sym, arg_params, aux_params, _ = convert_model(caffe_prototxt_path, caffe_model_path)
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| H A D | convert_model.py | 40 def convert_model(prototxt_fname, caffemodel_fname, output_prefix=None): function
225 convert_model(args.prototxt, args.caffemodel, args.save_model_name)
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/tools/caffe_converter/ |
| H A D | convert_caffe_modelzoo.py | 22 from convert_model import convert_model
149 convert_model(prototxt, caffemodel, model_name)
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| H A D | run.sh | 36 …python `dirname $0`/convert_model.py VGG_ILSVRC_19_layers_deploy.prototxt VGG_ILSVRC_19_layers.caf…
47 …python `dirname $0`/convert_model.py VGG_ILSVRC_16_layers_deploy.prototxt VGG_ILSVRC_16_layers.caf…
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| H A D | compare_layers.py | 97 from convert_model import convert_model
128 sym, arg_params, aux_params, _ = convert_model(caffe_prototxt_path, caffe_model_path)
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| H A D | convert_model.py | 40 def convert_model(prototxt_fname, caffemodel_fname, output_prefix=None): function
225 convert_model(args.prototxt, args.caffemodel, args.save_model_name)
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| /dports/misc/frugally-deep/frugally-deep-0.15.13-p0/keras_export/ |
| H A D | save_application_examples.py | 5 import convert_model
22 convert_model.convert(keras_file, fdeep_file)
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/gpu/ |
| H A D | test_predictor.py | 109 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
117 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
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| H A D | test_contrib_amp.py | 222 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
237 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
397 …sym, arg_params, aux_params = amp.convert_model(mod._symbol, mod._arg_params, mod._aux_params, tar…
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/gpu/ |
| H A D | test_predictor.py | 109 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
117 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
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| H A D | test_contrib_amp.py | 222 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
237 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
397 …sym, arg_params, aux_params = amp.convert_model(mod._symbol, mod._arg_params, mod._aux_params, tar…
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/ssd/tools/caffe_converter/ |
| H A D | compare_layers.py | 95 from convert_model import convert_model
126 sym, arg_params, aux_params, _ = convert_model(caffe_prototxt_path, caffe_model_path)
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| H A D | convert_model.py | 26 def convert_model(prototxt_fname, caffemodel_fname, output_prefix=None): function
220 convert_model(args.prototxt, args.caffemodel, args.save_model_name)
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/ssd/tools/caffe_converter/ |
| H A D | compare_layers.py | 95 from convert_model import convert_model
126 sym, arg_params, aux_params, _ = convert_model(caffe_prototxt_path, caffe_model_path)
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| H A D | convert_model.py | 26 def convert_model(prototxt_fname, caffemodel_fname, output_prefix=None): function
220 convert_model(args.prototxt, args.caffemodel, args.save_model_name)
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/mkl/ |
| H A D | test_contrib_amp.py | 225 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
240 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
331 … conv2d_bf16, arg_params_bf16, aux_params_bf16 = amp.convert_model(conv2d, arg_params, aux_params,
359 fc_bf16, arg_params_bf16, aux_params_bf16 = amp.convert_model(fc, arg_params, aux_params,
416 sym, arg_params, aux_params = amp.convert_model(mod._symbol, mod._arg_params, mod._aux_params,
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/mkl/ |
| H A D | test_contrib_amp.py | 225 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
240 result_sym, result_arg_params, result_aux_params = amp.convert_model(sym,
331 … conv2d_bf16, arg_params_bf16, aux_params_bf16 = amp.convert_model(conv2d, arg_params, aux_params,
359 fc_bf16, arg_params_bf16, aux_params_bf16 = amp.convert_model(fc, arg_params, aux_params,
416 sym, arg_params, aux_params = amp.convert_model(mod._symbol, mod._arg_params, mod._aux_params,
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| /dports/lang/halide/Halide-release_2019_08_27-2654-g664dc4993/apps/onnx/ |
| H A D | onnx_converter.h | 41 Model convert_model(const onnx::ModelProto &model, const std::unordered_map<std::string, int> &expe…
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| H A D | onnx_converter_generator.cc | 28 converted_model_ = convert_model(onnx_model, expected_dim_sizes, IOLayout::Native); in configure()
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| /dports/misc/frugally-deep/frugally-deep-0.15.13-p0/ |
| H A D | README.md | 102 2) Now convert it to the frugally-deep file format with `keras_export/convert_model.py`
128 python3 keras_export/convert_model.py keras_model.h5 fdeep_model.json
144 When using `convert_model.py` a test case (input and corresponding output values) is generated auto…
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| /dports/misc/frugally-deep/frugally-deep-0.15.13-p0/test/stateful_test/ |
| H A D | readme.md | 17 2. Runs the `../../keras_export/convert_model.py ` script to convert all of the generated Keras mod…
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/automatic-mixed-precision/ |
| H A D | amp_model_conversion.py | 207 … result_sym, result_arg_params, result_aux_params = amp.convert_model(sym, arg_params, aux_params,
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/automatic-mixed-precision/ |
| H A D | amp_model_conversion.py | 207 … result_sym, result_arg_params, result_aux_params = amp.convert_model(sym, arg_params, aux_params,
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