| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/contrib/test_arm_compute_lib/ |
| H A D | test_dense.py | 50 def _get_qnn_params(input_zp, input_sc, kernel_zp, kernel_sc, kernel_h, kernel_w): argument
52 input_max = input_sc * (255 - input_zp)
53 input_min = -input_sc * input_zp
75 input_sc, argument
92 input_scale=relay.const(input_sc, "float32"),
104 relay.const(input_sc * kernel_sc, "float32"), # input scale
250 input_sc = 0.5
263 input_sc,
281 "input scale": input_sc,
307 input_sc = 0.5
[all …]
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| H A D | test_conv2d.py | 89 input_max = input_sc * (255 - input_zp)
90 input_min = -input_sc * input_zp
117 input_sc, argument
145 input_scale=relay.const(input_sc, "float32"),
167 relay.const(input_sc * kernel_sc, "float32"), # input scale
419 input_sc = 0.5
423 input_zp, input_sc, kernel_zp, kernel_sc, kernel_h, kernel_w, shape[3]
437 input_sc,
459 "input scale": input_sc,
499 input_sc = 0.5
[all …]
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/contrib/test_ethosn/ |
| H A D | test_fullyconnected.py | 28 shape, weight_shape, input_zp, input_sc, kernel_zp, kernel_sc, output_zp, output_sc, dtype argument
39 input_scale=relay.const(input_sc, "float32"),
49 relay.const(input_sc * kernel_sc, "float32"), # input zero scale
69 for shape, input_zp, input_sc, kernel_zp, kernel_sc in trials:
75 input_zp, input_sc, kernel_zp, kernel_sc, shape[0], shape[1], 1
82 input_sc, # input zp, sc
131 input_sc,
146 input_sc,
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| H A D | test_conv2d.py | 48 input_sc, argument
89 input_scale=relay.const(input_sc, "float32"),
106 relay.const(input_sc * kernel_sc, "float32"), # input zero scale
153 input_sc = np.random.random() * 2
157 input_zp, input_sc, kernel_zp, kernel_sc, kernel_h, kernel_w, shape[3]
164 input_sc,
311 input_sc,
330 input_sc,
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| H A D | test_sigmoid.py | 27 def _get_model(shape, input_zp, input_sc, output_zp, output_sc, dtype): argument
31 input_scale=relay.const(input_sc, "float32"),
93 for shape, input_zp, input_sc, output_zp, output_sc, dtype, err_msg in trials:
94 model = _get_model(shape, input_zp, input_sc, output_zp, output_sc, dtype)
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| H A D | infrastructure.py | 291 def get_conv2d_qnn_params(input_zp, input_sc, kernel_zp, kernel_sc, kernel_h, kernel_w, channels): argument
292 input_max = input_sc * (255 - input_zp)
293 input_min = -input_sc * input_zp
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| /dports/audio/eq10q-lv2/eq10q-2.2/ |
| H A D | dynamics.c | 351 float input_sc = 0.0; in runDyn() local
372 input_sc = plugin_data->input_sidechain[i]; in runDyn()
375 …k) + plugin_data->PGAOut_L*FeedBack)*(1.0 - SideChainActive) + (double)input_sc * SideChainActive; in runDyn()
382 …ugin_data->PGAOut_R)*FeedBack )*0.5)*(1.0 - SideChainActive) + (double)input_sc * SideChainActive; in runDyn()
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/src/relay/backend/contrib/ethosn/ |
| H A D | ethosn_api.cc | 354 float input_sc; in Sigmoid() local
357 err += AsConstant<float>(dequantize->args[1], &input_sc); in Sigmoid()
367 sl::QuantizationInfo(input_zp, input_sc)); in Sigmoid()
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