params.Params[key] = writeParam(ckpts, zw, key, true, false) params.Params[key] = writeParam(ckpts, zw, key, false) key = fmt.Sprintf("layers.%d.attention.wo.weight", i) params.Params[key] = writeParam(ckpts, zw, key, true, true) params.Params[key] = writeParam(ckpts, zw,...
name: 操作的名字,可选的 conjugate: 可选的,设置成True,那么就等于tf.conj(tf.transpose(input)) 例: 最简单的二维的transpose,就是矩阵的转置 import tensorflow as tf import numpy as np A = np.array([[1, 2, 3], [4, 5, 6]]) X = tf.transpose(A, [1, 0]) with tf.Session() as s...
"collapsed": true, "jupyter": { "outputs_hidden": true } }, "source": [ "# PCMCI vs FullCI\n", @@ -363,9 +366,9 @@ ], "metadata": { "kernelspec": { "display_name": "Python 3", "display_name": "tigenv", "language": "python", "name": "python3" "name": "tigen...
name: 操作的名字,可选的 conjugate: 可选的,设置成True,那么就等于tf.conj(tf.transpose(input)) 例: 最简单的二维的transpose,就是矩阵的转置 import tensorflow as tf import numpy as np A = np.array([[1, 2, 3], [4, 5, 6]]) X = tf.transpose(A, [1, 0]) with tf.Session() as s...
is_depthwise = True mace_check(is_depthwise is False, "Mace do not support depthwise deconvolution yet") op.type = MaceOp.Deconv2D.name from_caffe_arg = op.arg.add() from_caffe_arg.name = MaceKeyword.mace_from_caffe_str from_caffe_arg.i = 1 self.add_stride_pad_kernel_arg(param,...