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Workaround for missing float64 pooling operations #10

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Merged
mhuen merged 1 commit into from
Aug 20, 2021
Merged

Workaround for missing float64 pooling operations #10

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23 changes: 23 additions & 0 deletions tfscripts/compat/v1/pooling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,14 @@ def pool3d(layer, ksize, strides, padding, pooling_type):
The pooled output tensor.
"""

# tensorflow's pooling operations do not support float64, so
# use workaround with casting to float32 and then back again
if layer.dtype == tf.float64:
layer = tf.cast(layer, tf.float32)
was_float64 = True
else:
was_float64 = False

# pool over depth, if necessary:
if ksize[-1] != 1 or strides[-1] != 1:
layer = pool_over_depth(layer,
Expand Down Expand Up @@ -70,6 +78,9 @@ def pool3d(layer, ksize, strides, padding, pooling_type):
padding=padding)
layer = (layer_avg + layer_max) / 2.

if was_float64:
layer = tf.cast(layer, tf.float64)

return layer


Expand Down Expand Up @@ -97,6 +108,14 @@ def pool(layer, ksize, strides, padding, pooling_type):
The pooled output tensor.
"""

# tensorflow's pooling operations do not support float64, so
# use workaround with casting to float32 and then back again
if layer.dtype == tf.float64:
layer = tf.cast(layer, tf.float32)
was_float64 = True
else:
was_float64 = False

# pool over depth, if necessary:
if ksize[-1] != 1 or strides[-1] != 1:
layer = pool_over_depth(layer,
Expand Down Expand Up @@ -138,6 +157,10 @@ def pool(layer, ksize, strides, padding, pooling_type):
padding=padding,
)
layer = (layer_avg + layer_max) / 2.

if was_float64:
layer = tf.cast(layer, tf.float64)

return layer


Expand Down
23 changes: 23 additions & 0 deletions tfscripts/pooling.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,14 @@ def pool3d(layer, ksize, strides, padding, pooling_type):
The pooled output tensor.
"""

# tensorflow's pooling operations do not support float64, so
# use workaround with casting to float32 and then back again
if layer.dtype == tf.float64:
layer = tf.cast(layer, tf.float32)
was_float64 = True
else:
was_float64 = False

# pool over depth, if necessary:
if ksize[-1] != 1 or strides[-1] != 1:
layer = pool_over_depth(layer,
Expand Down Expand Up @@ -70,6 +78,9 @@ def pool3d(layer, ksize, strides, padding, pooling_type):
padding=padding)
layer = (layer_avg + layer_max) / 2.

if was_float64:
layer = tf.cast(layer, tf.float64)

return layer


Expand Down Expand Up @@ -97,6 +108,14 @@ def pool2d(layer, ksize, strides, padding, pooling_type):
The pooled output tensor.
"""

# tensorflow's pooling operations do not support float64, so
# use workaround with casting to float32 and then back again
if layer.dtype == tf.float64:
layer = tf.cast(layer, tf.float32)
was_float64 = True
else:
was_float64 = False

# pool over depth, if necessary:
if ksize[-1] != 1 or strides[-1] != 1:
layer = pool_over_depth(layer,
Expand Down Expand Up @@ -130,6 +149,10 @@ def pool2d(layer, ksize, strides, padding, pooling_type):
strides=strides,
padding=padding)
layer = (layer_avg + layer_max) / 2.

if was_float64:
layer = tf.cast(layer, tf.float64)

return layer


Expand Down