chrishkchris edited a comment on issue #552: SINGA-496 Implement softplus and softsign functions for tensor math URL: https://github.com/apache/singa/pull/552#issuecomment-554627773 For example, you can change the logic as follows: aa=a is {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f} so cc=a is {-2.0f, 1.0f, 0.0f, 1.0f, 2.0f, 3.0f} p = SoftPlus(cc) and finally uses EXPECT_NEAR to check if it is near log(exp(input)) + 1.0f This is an example: ``` TEST_F(TensorMath, SoftPlusCpp) { Tensor aa = a.Clone(); Tensor cc = aa - 3.0f; const float *dptr = cc.data<float>(); EXPECT_NEAR(-2.0f, dptr[0], 1e-5); EXPECT_NEAR(-1.0f, dptr[1], 1e-5); EXPECT_NEAR(0.0f, dptr[2], 1e-5); Tensor p = SoftPlus(cc); const float *dptr1 = p.data<float>(); EXPECT_NEAR(log(exp(-2.0f) + 1.0f), dptr1[0], 1e-5); EXPECT_NEAR(log(exp(-1.0f) + 1.0f), dptr1[1], 1e-5); EXPECT_NEAR(log(exp(0.0f) + 1.0f), dptr1[2], 1e-5); EXPECT_NEAR(log(exp(1.0f) + 1.0f), dptr1[3], 1e-5); EXPECT_NEAR(log(exp(2.0f) + 1.0f), dptr1[4], 1e-5); } ```
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
