Commit b4992b6

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Fix meanvar & convolve2NNGradient API unit tests

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Lines changed: 3 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -103,7 +103,9 @@ def simple_signal(verbose=False):`
`103`	`103`
`104`	`104`	`c = af.convolve2NN(a, b)`
`105`	`105`	`display_func(c)`
`106`		`- g = af.convolve2NN(a, b, c, gradType=af.CONV_GRADIENT.DATA)`
	`106`	`+ in_dims = c.dims()`
	`107`	`+ incoming_grad = af.constant(1, in_dims[0], in_dims[1]);`
	`108`	`+ g = af.convolve2GradientNN(incoming_grad, a, b, c)`
`107`	`109`	`display_func(g)`
`108`	`110`
`109`	`111`	`a = af.randu(5, 5, 3)`

Lines changed: 2 additions & 2 deletions

Original file line number	Diff line number	Diff line change
`@@ -34,10 +34,10 @@ def simple_statistics(verbose=False):`
`34`	`34`	`print_func(af.var(a, isbiased=True))`
`35`	`35`	`print_func(af.var(a, weights=w))`
`36`	`36`
`37`		`- mean, var = af.mean_var(a, dim=0)`
	`37`	`+ mean, var = af.meanvar(a, dim=0)`
`38`	`38`	`display_func(mean)`
`39`	`39`	`display_func(var)`
`40`		`- mean, var = af.mean_var(a, weights=w, bias=VARIANCE.SAMPLE, dim=0)`
	`40`	`+ mean, var = af.meanvar(a, weights=w, bias=af.VARIANCE.SAMPLE, dim=0)`
`41`	`41`	`display_func(mean)`
`42`	`42`	`display_func(var)`
`43`	`43`

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