/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/darknet/ |
H A D | test_forward.py | 254 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 313 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 1, 0, 0, 0) 327 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 328 layer_2 = LIB.make_convolutional_layer(1, 111, 111, 32, 32, 1, 1, 1, 0, 1, 0, 0, 0, 0) 345 layer_1 = LIB.make_convolutional_layer(1, 222, 222, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 358 layer_1 = LIB.make_convolutional_layer(1, 19, 19, 3, 425, 1, 1, 1, 0, 1, 0, 0, 0, 0) 373 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 14, 1, 3, 2, 0, 1, 0, 0, 0, 0) 413 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 463 layer_1 = LIB.make_convolutional_layer(
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/dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/frontend/darknet/ |
H A D | test_forward.py | 231 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 285 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 1, 0, 0, 0) 298 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 299 layer_2 = LIB.make_convolutional_layer(1, 111, 111, 32, 32, 1, 1, 1, 0, 1, 0, 0, 0, 0) 315 layer_1 = LIB.make_convolutional_layer(1, 222, 222, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 327 layer_1 = LIB.make_convolutional_layer(1, 19, 19, 3, 425, 1, 1, 1, 0, 1, 0, 0, 0, 0) 341 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 14, 1, 3, 2, 0, 1, 0, 0, 0, 0) 378 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 425 layer_1 = LIB.make_convolutional_layer(batch, h, w, c, n, groups, size, stride, padding,
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/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/tests/python/frontend/darknet/ |
H A D | test_forward.py | 215 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 269 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 1, 0, 0, 0) 282 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 283 layer_2 = LIB.make_convolutional_layer(1, 111, 111, 32, 32, 1, 1, 1, 0, 1, 0, 0, 0, 0) 299 layer_1 = LIB.make_convolutional_layer(1, 222, 222, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 311 layer_1 = LIB.make_convolutional_layer(1, 19, 19, 3, 425, 1, 1, 1, 0, 1, 0, 0, 0, 0) 325 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 14, 1, 3, 2, 0, 1, 0, 0, 0, 0) 362 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 489 layer_1 = LIB.make_convolutional_layer(batch, h, w, c, n, groups, size, stride, padding,
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/dports/misc/tvm/incubator-tvm-0.6.1/tests/python/frontend/darknet/ |
H A D | test_forward.py | 231 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 285 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 1, 0, 0, 0) 298 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 299 layer_2 = LIB.make_convolutional_layer(1, 111, 111, 32, 32, 1, 1, 1, 0, 1, 0, 0, 0, 0) 315 layer_1 = LIB.make_convolutional_layer(1, 222, 222, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 327 layer_1 = LIB.make_convolutional_layer(1, 19, 19, 3, 425, 1, 1, 1, 0, 1, 0, 0, 0, 0) 341 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 14, 1, 3, 2, 0, 1, 0, 0, 0, 0) 378 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 425 layer_1 = LIB.make_convolutional_layer(batch, h, w, c, n, groups, size, stride, padding,
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/dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/tests/python/frontend/darknet/ |
H A D | test_forward.py | 215 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 269 layer = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 1, 0, 0, 0) 282 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 283 layer_2 = LIB.make_convolutional_layer(1, 111, 111, 32, 32, 1, 1, 1, 0, 1, 0, 0, 0, 0) 299 layer_1 = LIB.make_convolutional_layer(1, 222, 222, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 311 layer_1 = LIB.make_convolutional_layer(1, 19, 19, 3, 425, 1, 1, 1, 0, 1, 0, 0, 0, 0) 325 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 14, 1, 3, 2, 0, 1, 0, 0, 0, 0) 362 layer_1 = LIB.make_convolutional_layer(1, 224, 224, 3, 32, 1, 3, 2, 0, 1, 0, 0, 0, 0) 489 layer_1 = LIB.make_convolutional_layer(batch, h, w, c, n, groups, size, stride, padding,
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/dports/misc/darknet/darknet-darknet_yolo_v4_pre/src/ |
H A D | conv_lstm_layer.c | 70 …*(l.uf) = make_convolutional_layer(batch, steps, h, w, c, output_filters, groups, size, stride, st… in make_conv_lstm_layer() 75 …*(l.ui) = make_convolutional_layer(batch, steps, h, w, c, output_filters, groups, size, stride, st… in make_conv_lstm_layer() 80 …*(l.ug) = make_convolutional_layer(batch, steps, h, w, c, output_filters, groups, size, stride, st… in make_conv_lstm_layer() 85 …*(l.uo) = make_convolutional_layer(batch, steps, h, w, c, output_filters, groups, size, stride, st… in make_conv_lstm_layer() 92 …*(l.wf) = make_convolutional_layer(batch, steps, h, w, output_filters, output_filters, groups, siz… in make_conv_lstm_layer() 97 …*(l.wi) = make_convolutional_layer(batch, steps, h, w, output_filters, output_filters, groups, siz… in make_conv_lstm_layer() 102 …*(l.wg) = make_convolutional_layer(batch, steps, h, w, output_filters, output_filters, groups, siz… in make_conv_lstm_layer() 107 …*(l.wo) = make_convolutional_layer(batch, steps, h, w, output_filters, output_filters, groups, siz… in make_conv_lstm_layer() 115 …*(l.vf) = make_convolutional_layer(batch, steps, h, w, output_filters, output_filters, groups, siz… in make_conv_lstm_layer() 122 …*(l.vi) = make_convolutional_layer(batch, steps, h, w, output_filters, output_filters, groups, siz… in make_conv_lstm_layer() [all …]
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H A D | convolutional_layer.h | 34 convolutional_layer make_convolutional_layer(int batch, int steps, int h, int w, int c, int n, int …
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H A D | crnn_layer.c | 54 …*(l.input_layer) = make_convolutional_layer(batch, steps, h, w, c, hidden_filters, groups, size, s… in make_crnn_layer() 59 …*(l.self_layer) = make_convolutional_layer(batch, steps, h, w, hidden_filters, hidden_filters, gro… in make_crnn_layer() 64 …*(l.output_layer) = make_convolutional_layer(batch, steps, h, w, hidden_filters, output_filters, g… in make_crnn_layer()
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H A D | maxpool_layer.c | 170 …*(l.input_layer) = make_convolutional_layer(batch, 1, l.out_h, l.out_w, l.out_c, l.out_c, l.out_c,… in make_maxpool_layer()
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H A D | convolutional_layer.c | 375 convolutional_layer make_convolutional_layer(int batch, int steps, int h, int w, int c, int n, int … in make_convolutional_layer() function 679 …*(l.input_layer) = make_convolutional_layer(batch, steps, out_h, out_w, n, n, n, blur_size, blur_s… in make_convolutional_layer() 734 …convolutional_layer l = make_convolutional_layer(1, 1, 5, 5, 3, 2, 1, 5, 2, 2, 1, 1, LEAKY, 1, 0, … in test_convolutional_layer()
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H A D | parser.c | 220 …convolutional_layer layer = make_convolutional_layer(batch,1,h,w,c,n,groups,size,stride_x,stride_y… in parse_convolutional()
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