提交 2a216f06 authored 作者: Arnaud Bergeron's avatar Arnaud Bergeron

Fix the tests for softmax so that they don't overflow float16.

上级 7a5a89af
...@@ -182,19 +182,16 @@ def test_softmax_with_bias_float64(): ...@@ -182,19 +182,16 @@ def test_softmax_with_bias_float64():
def softmax_with_bias_unittest_template(dtypeInput, dtypeBias): def softmax_with_bias_unittest_template(dtypeInput, dtypeBias):
""" """
This is basic test for GpuSoftmaxWithBias with float64 variables This is a basic test for GpuSoftmaxWithBias.
We check that we loop when their is too much block We check that we loop when there are too many blocks.
TODO: check that we loop when their is too much thread.(THIS IS TODO: check that we loop when there are too many threads. (THIS IS
NOT IMPLEMENTED) NOT IMPLEMENTED)
""" """
x = T.matrix('x', dtype=dtypeInput) x = T.matrix('x', dtype=dtypeInput)
# We can't use zeros_like(x[0,::]) as this don't allow to test with z = T.nnet.softmax_with_bias(x, T.zeros_like(x[0, ::]))
# 0 shape
z = T.nnet.softmax_with_bias(x, T.arange(x.shape[1] * 2,
dtype=dtypeBias)[::2])
f = theano.function([x], z, mode=mode_without_gpu) f = theano.function([x], z, mode=mode_without_gpu)
f_gpu = theano.function([x], z, mode=mode_with_gpu) f_gpu = theano.function([x], z, mode=mode_with_gpu)
...@@ -203,7 +200,7 @@ def softmax_with_bias_unittest_template(dtypeInput, dtypeBias): ...@@ -203,7 +200,7 @@ def softmax_with_bias_unittest_template(dtypeInput, dtypeBias):
GpuSoftmaxWithBias) GpuSoftmaxWithBias)
def cmp(n, m): def cmp(n, m):
data = numpy.arange(n * m, dtype=dtypeInput).reshape(n, m) data = numpy.random.uniform(1e-7, 1, (n, m)).astype(dtype=dtypeInput)
out = f(data) out = f(data)
gout = f_gpu(data) gout = f_gpu(data)
...@@ -213,7 +210,6 @@ def softmax_with_bias_unittest_template(dtypeInput, dtypeBias): ...@@ -213,7 +210,6 @@ def softmax_with_bias_unittest_template(dtypeInput, dtypeBias):
# we need to test n>32*1024 to check that we make the block loop. # we need to test n>32*1024 to check that we make the block loop.
cmp(2 << 15, 5) cmp(2 << 15, 5)
cmp(4074, 400) cmp(4074, 400)
cmp(0, 10)
cmp(784, 784) cmp(784, 784)
cmp(4, 1000) cmp(4, 1000)
cmp(4, 1024) cmp(4, 1024)
...@@ -254,7 +250,7 @@ def softmax_unittest_template(dtypeInput): ...@@ -254,7 +250,7 @@ def softmax_unittest_template(dtypeInput):
GpuSoftmax) GpuSoftmax)
def cmp(n, m): def cmp(n, m):
data = numpy.arange(n * m, dtype=dtypeInput).reshape(n, m) data = numpy.random.uniform(0, 1, (n, m)).astype(dtype=dtypeInput)
out = f(data) out = f(data)
gout = f_gpu(data) gout = f_gpu(data)
...@@ -264,7 +260,6 @@ def softmax_unittest_template(dtypeInput): ...@@ -264,7 +260,6 @@ def softmax_unittest_template(dtypeInput):
cmp(2, 5) cmp(2, 5)
cmp(2 << 15, 5) cmp(2 << 15, 5)
cmp(4074, 400) cmp(4074, 400)
cmp(0, 10)
cmp(784, 784) cmp(784, 784)
cmp(4, 1000) cmp(4, 1000)
cmp(4, 1024) cmp(4, 1024)
......
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