flops

问题 My Prune code is shown below, after running this, I will get a file named 'pruned_model.pth'. import torch from torch import nn import torch.nn.utils.prune as prune import torch.nn.functional as F from cnn import net ori_model = '/content/drive/My Drive/ECG_weight_prune/checkpoint_dir/model.pth' save_path = '/content/drive/My Drive/ECG_weight_prune/checkpoint_dir/pruned_model.pth' device = torch.device("cuda" if torch.cuda.is_available() else "cpu") model = net().to(device) model.load_state

问题 run_meta = tf.RunMetadata() enter codwith tf.Session(graph=tf.Graph()) as sess: K.set_session(sess) with tf.device('/cpu:0'): base_model = MobileNet(alpha=1, weights=None, input_tensor=tf.placeholder('float32', shape=(1,224,224,3))) opts = tf.profiler.ProfileOptionBuilder.float_operation() flops = tf.profiler.profile(sess.graph, run_meta=run_meta, cmd='op', options=opts) opts = tf.profiler.ProfileOptionBuilder.trainable_variables_parameter() params = tf.profiler.profile(sess.graph, run_meta

问题 run_meta = tf.RunMetadata() enter codwith tf.Session(graph=tf.Graph()) as sess: K.set_session(sess) with tf.device('/cpu:0'): base_model = MobileNet(alpha=1, weights=None, input_tensor=tf.placeholder('float32', shape=(1,224,224,3))) opts = tf.profiler.ProfileOptionBuilder.float_operation() flops = tf.profiler.profile(sess.graph, run_meta=run_meta, cmd='op', options=opts) opts = tf.profiler.ProfileOptionBuilder.trainable_variables_parameter() params = tf.profiler.profile(sess.graph, run_meta

问题 I would like to compute how many flops each layer of LeNet-5 (paper) needs. Some papers give FLOPs for other architectures in total (1, 2, 3) However, those papers don't give details on how to compute the number of FLOPs and I have no idea how many FLOPs are necessary for the non-linear activation functions. For example, how many FLOPs are necessary to calculate tanh(x)? I guess this will be implementation and probably also hardware-specific. However, I am mainly interested in getting an

问题 Edit: achievements over time is listed at the end of this question(~1Tflops/s yet). Im writing some kind of math library for C# using opencl(gpu) from C++ DLL and already done some optimizations on single precision square matrix-matrix multiplicatrion(for learning purposes and possibility of re-usage in a neural-network program later). Below kernel code gets v1 1D array as rows of matrix1(1024x1024) and v2 1D array as columns of matrix2((1024x1024)transpose optimization) and puts the result

问题 I am having a hard time grasping how to count FLOPs. One moment I think I get it, and the next it makes no sense to me. Some help explaining this would greatly be appreciated. I have looked at all other posts about this topic and none have completely explained in a programming language I am familiar with (I know some MATLAB and FORTRAN). Here is an example, from one of my books, of what I am trying to do. For the following piece of code, the total number of flops can be written as (n*(n-1)/2)

问题 Already finished my application which multiplies CRS matrix and vector (SpMV) and the only thing to do now is to count FLOPS my application did. In my opinion it's really hard to estimate number of floating point operation in case of sparse matrix - vector multiplication, because the number of multiplies in one row is really "jumpy" or fluent. I only tried to measure time using "cudaprof" ( available in ./CUDA/bin directory) - it works fine. Any sugestions and instruction pastes appreciated !

问题 FLOPS stands for FLoating-point Operations Per Second and I have some idea what Floating-point is. I want to know what these Operations are? Does +, -, *, / are the only operations or operations like taking logarithm(), exponential() are also FLOs? Does + and * of two floats take same time? And if they take different time, then what interpretation should I draw from the statement: Performance is 100 FLOPS . How many + and * are there in one second. I am not a computer science guy, so kindly

问题 This question is for packed, single-prec floating ops with XMM/YMM registers on Haswell. So according to the awesome , awesome table put together by Agner Fog, I know that MUL can be done on either port p0 and p1 (with recp thruput of 0.5), while only ADD is done on only port p1 (with recp thruput of 1). I can except this limitation, BUT I also know that FMA can be done on either port p0 or p1 (with recp thruput of 0.5). So it is confusing to my as to why a plain ADD would be limited to only

问题 Say I have a C program that in pseudoish is: For i=0 to 10 x++ a=2+x*5 next Is the number of FLOPs for this (1 [x++] + 1 [x*5] + 1 [2+(x+5))] * 10[loop], for 30 FLOPS? I am having trouble understanding what a flop is. Note the [...] are indicating where I am getting my counts for "operations" from. 回答1: For the purposes of FLOPS measurements, usually only additions and multiplications are included. Things like divisions, reciprocals, square roots, and transcendental functions are too