arm_compute v19.11
diff --git a/examples/graph_inception_v3.cpp b/examples/graph_inception_v3.cpp
index 0a1e312..1de6a5f 100644
--- a/examples/graph_inception_v3.cpp
+++ b/examples/graph_inception_v3.cpp
@@ -43,6 +43,7 @@
{
// Parse arguments
cmd_parser.parse(argc, argv);
+ cmd_parser.validate();
// Consume common parameters
common_params = consume_common_graph_parameters(common_opts);
@@ -84,8 +85,8 @@
"/cnn_data/inceptionv3_model/Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path,
"/cnn_data/inceptionv3_model/Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f), get_weights_accessor(data_path,
- "/cnn_data/inceptionv3_model/Conv2d_1a_3x3_BatchNorm_beta.npy"),
+ nullptr, get_weights_accessor(data_path,
+ "/cnn_data/inceptionv3_model/Conv2d_1a_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name("Conv2d_1a_3x3/BatchNorm/batchnorm")
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_1a_3x3/Relu")
@@ -97,8 +98,8 @@
"/cnn_data/inceptionv3_model/Conv2d_2a_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path,
"/cnn_data/inceptionv3_model/Conv2d_2a_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f), get_weights_accessor(data_path,
- "/cnn_data/inceptionv3_model/Conv2d_2a_3x3_BatchNorm_beta.npy"),
+ nullptr, get_weights_accessor(data_path,
+ "/cnn_data/inceptionv3_model/Conv2d_2a_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name("Conv2d_2a_3x3/BatchNorm/batchnorm")
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2a_3x3/Relu")
@@ -111,8 +112,8 @@
"/cnn_data/inceptionv3_model/Conv2d_2b_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path,
"/cnn_data/inceptionv3_model/Conv2d_2b_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f), get_weights_accessor(data_path,
- "/cnn_data/inceptionv3_model/Conv2d_2b_3x3_BatchNorm_beta.npy"),
+ nullptr, get_weights_accessor(data_path,
+ "/cnn_data/inceptionv3_model/Conv2d_2b_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name("Conv2d_2b_3x3/BatchNorm/batchnorm")
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2b_3x3/Relu")
@@ -127,8 +128,8 @@
"/cnn_data/inceptionv3_model/Conv2d_3b_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path,
"/cnn_data/inceptionv3_model/Conv2d_3b_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f), get_weights_accessor(data_path,
- "/cnn_data/inceptionv3_model/Conv2d_3b_1x1_BatchNorm_beta.npy"),
+ nullptr, get_weights_accessor(data_path,
+ "/cnn_data/inceptionv3_model/Conv2d_3b_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name("Conv2d_3b_1x1/BatchNorm/batchnorm")
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_3b_1x1/Relu")
@@ -141,8 +142,8 @@
"/cnn_data/inceptionv3_model/Conv2d_4a_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path,
"/cnn_data/inceptionv3_model/Conv2d_4a_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f), get_weights_accessor(data_path,
- "/cnn_data/inceptionv3_model/Conv2d_4a_3x3_BatchNorm_beta.npy"),
+ nullptr, get_weights_accessor(data_path,
+ "/cnn_data/inceptionv3_model/Conv2d_4a_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name("Conv2d_4a_3x3/BatchNorm/batchnorm")
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_4a_3x3/Relu")
@@ -248,7 +249,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -264,7 +265,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id0 + "1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id0 + "1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id0 + "1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d" + conv_id0 + "1x1/BatchNorm/batchnorm")
@@ -278,7 +279,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv" + conv_id1 + "5x5_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv" + conv_id1 + "5x5_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv" + conv_id1 + "5x5_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d" + conv_id1 + "5x5/BatchNorm/batchnorm")
@@ -294,7 +295,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -308,7 +309,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0b_3x3/BatchNorm/batchnorm")
@@ -322,7 +323,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0c_3x3/BatchNorm/batcnorm")
@@ -339,7 +340,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm/batchnorm")
@@ -363,7 +364,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_0/Conv2d_1a_1x1/BatchNorm/batchnorm")
@@ -379,7 +380,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -393,7 +394,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0b_3x3/BatchNorm/batchnorm")
@@ -407,7 +408,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_1a_1x1/BatchNorm/batchnorm")
@@ -436,7 +437,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -452,7 +453,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -466,7 +467,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0b_1x7/BatchNorm/batchnorm")
@@ -480,7 +481,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0c_7x1/BatchNorm/batchnorm")
@@ -496,7 +497,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -510,7 +511,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0b_7x1/BatchNorm/batchnorm")
@@ -524,7 +525,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0c_1x7/BatchNorm/batchnorm")
@@ -538,7 +539,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0d_7x1/BatchNorm/batchnorm")
@@ -552,7 +553,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0e_1x7/BatchNorm/batchnorm")
@@ -569,7 +570,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm/batchnorm")
@@ -593,7 +594,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -607,7 +608,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_0/Conv2d_1a_3x3/BatchNorm/batchnorm")
@@ -623,7 +624,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -637,7 +638,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0b_1x7/BatchNorm/batchnorm")
@@ -651,7 +652,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0c_7x1/BatchNorm/batchnorm")
@@ -665,7 +666,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_1a_3x3/BatchNorm/batchnorm")
@@ -702,7 +703,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -718,7 +719,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -734,7 +735,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d_0b_1x3/BatchNorm/batchnorm")
@@ -750,7 +751,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id + "3x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id + "3x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id + "3x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_1/Conv2d" + conv_id + "3x1/BatchNorm/batchnorm")
@@ -769,7 +770,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0a_1x1/BatchNorm/batchnorm")
@@ -783,7 +784,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0b_3x3/BatchNorm/batchnorm")
@@ -799,7 +800,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0c_1x3/BatchNorm/batchnorm")
@@ -815,7 +816,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_3x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_3x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_3x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_2/Conv2d_0d_3x1/BatchNorm/batchnorm")
@@ -835,7 +836,7 @@
<< BatchNormalizationLayer(
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_mean.npy"),
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_variance.npy"),
- get_random_accessor(1.f, 1.f),
+ nullptr,
get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_beta.npy"),
0.001f)
.set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm/batchnorm")