Testing Class Material

extra_slides/profiling/residuals.py

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+import numpy as np
+import theano
+from theano import tensor as T
+
+
+SLOPE = 3.1
+INTERCEPT = -1.2
+
+
+def residual_stats_theano(x, y):
+    expected = SLOPE * x + INTERCEPT
+    residuals = y - expected
+    return residuals.mean(), residuals.std()
+
+
+x_var = T.vector()
+y_var = T.vector()
+
+residual_stats = theano.function(
+    inputs=[x_var, y_var],
+    outputs=residual_stats_theano(x_var, y_var),
+    allow_input_downcast=True,
+)
+
+
+if __name__ == '__main__':
+    x = np.linspace(-10, 10, 1000)
+    y = SLOPE * x + INTERCEPT
+    y += np.random.normal(loc=0.1, scale=0.5, size=x.shape)
+    mn, std = residual_stats(x, y)
+    print('Residual mean=', mn, ', std=', std)

extra_slides/profiling/residuals_profile.py

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+import numpy as np
+import theano
+from theano import tensor as T
+
+theano.config.profile_memory = True
+theano.config.profile = True
+
+
+SLOPE = 3.1
+INTERCEPT = -1.2
+
+
+def residual_stats_theano(x, y):
+    expected = SLOPE * x + INTERCEPT
+    residuals = y - expected
+    return residuals.mean(), residuals.std()
+
+
+x_var = T.vector()
+y_var = T.vector()
+
+residual_stats = theano.function(
+    inputs=[x_var, y_var],
+    outputs=residual_stats_theano(x_var, y_var),
+    allow_input_downcast=True,
+    profile=True,
+)
+
+
+if __name__ == '__main__':
+    x = np.linspace(-10, 10, 1000)
+    y = SLOPE * x + INTERCEPT
+    y += np.random.normal(loc=0.1, scale=0.5, size=x.shape)
+    mn, std = residual_stats(x, y)
+    print('Residual mean=', mn, ', std=', std)