Change np.product to np.prod

vl-dud · vl-dud · commit 1f0b7ac1b782 · 2024-11-10T00:14:12.000+03:00
diff --git a/deepxde/optimizers/tensorflow/tfp_optimizer.py b/deepxde/optimizers/tensorflow/tfp_optimizer.py
@@ -48,7 +48,7 @@ def __init__(self, trainable_variables, build_loss):
         self.indices = []  # stitch indices
         self.partitions = []  # partition indices
         for i, shape in enumerate(self.shapes):
-            n = np.product(shape)
+            n = np.prod(shape)
             self.indices.append(
                 tf.reshape(tf.range(count, count + n, dtype=tf.int32), shape)
             )
diff --git a/deepxde/optimizers/tensorflow_compat_v1/tfp_optimizer.py b/deepxde/optimizers/tensorflow_compat_v1/tfp_optimizer.py
@@ -37,7 +37,7 @@ def __init__(self, build_loss):
         self.indices = []  # stitch indices
         self.partitions = []  # partition indices
         for i, shape in enumerate(self.shapes):
-            n = np.product(shape)
+            n = np.prod(shape)
             self.indices.append(
                 tf.reshape(tf.range(count, count + n, dtype=tf.int32), shape)
             )

Original file line number	Diff line number	Diff line change
`@@ -48,7 +48,7 @@ def __init__(self, trainable_variables, build_loss):`
`48`	`48`	`self.indices = [] # stitch indices`
`49`	`49`	`self.partitions = [] # partition indices`
`50`	`50`	`for i, shape in enumerate(self.shapes):`
`51`		`- n = np.product(shape)`
	`51`	`+ n = np.prod(shape)`
`52`	`52`	`self.indices.append(`
`53`	`53`	`tf.reshape(tf.range(count, count + n, dtype=tf.int32), shape)`
`54`	`54`	`)`
Original file line number	Diff line number	Diff line change
`@@ -37,7 +37,7 @@ def __init__(self, build_loss):`
`37`	`37`	`self.indices = [] # stitch indices`
`38`	`38`	`self.partitions = [] # partition indices`
`39`	`39`	`for i, shape in enumerate(self.shapes):`
`40`		`- n = np.product(shape)`
	`40`	`+ n = np.prod(shape)`
`41`	`41`	`self.indices.append(`
`42`	`42`	`tf.reshape(tf.range(count, count + n, dtype=tf.int32), shape)`
`43`	`43`	`)`