icemelon9 commented on a change in pull request #6373:
URL: https://github.com/apache/incubator-tvm/pull/6373#discussion_r495102806
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File path: python/tvm/relay/op/image/_image.py
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@@ -40,6 +40,33 @@ def compute_resize(attrs, inputs, out_type):
reg.register_injective_schedule("image.resize")
+@script
+def _resize_func(image_shape, size, height_axis, width_axis, channel_axis):
Review comment:
change the name to `_resize_shape_func`.
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File path: python/tvm/relay/op/image/_image.py
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@@ -118,3 +162,19 @@ def compute_grid_sample(attrs, inputs, out_dtype):
return [topi.image.grid_sample(inputs[0], inputs[1], method, layout)]
reg.register_injective_schedule("image.grid_sample")
+
+@script
+def _grid_sample_func(data, grid):
+ out = output_tensor((4,), "int64")
+ out[0] = int64(data[0])
+ out[1] = int64(data[1])
+ out[2] = int64(grid[2])
+ out[3] = int64(grid[3])
Review comment:
same question here. different layout?
##########
File path: python/tvm/relay/op/image/_image.py
##########
@@ -40,6 +40,33 @@ def compute_resize(attrs, inputs, out_type):
reg.register_injective_schedule("image.resize")
+@script
+def _resize_func(image_shape, size, height_axis, width_axis, channel_axis):
+ out = output_tensor((4,), "int64")
+ out[0] = int64(image_shape[0])
+ out[height_axis] = int64(size[0])
+ out[width_axis] = int64(size[1])
+ out[channel_axis] = image_shape[channel_axis]
+ return out
+
[email protected]_shape_func("image.resize", False)
+def resize_func(attrs, inputs, _):
Review comment:
change the name to `resize_shape_func`
##########
File path: python/tvm/relay/op/image/_image.py
##########
@@ -40,6 +40,33 @@ def compute_resize(attrs, inputs, out_type):
reg.register_injective_schedule("image.resize")
+@script
+def _resize_func(image_shape, size, height_axis, width_axis, channel_axis):
+ out = output_tensor((4,), "int64")
+ out[0] = int64(image_shape[0])
+ out[height_axis] = int64(size[0])
+ out[width_axis] = int64(size[1])
+ out[channel_axis] = image_shape[channel_axis]
+ return out
+
[email protected]_shape_func("image.resize", False)
+def resize_func(attrs, inputs, _):
+ """
+ Shape function for resize op.
+ """
+ layout = attrs.layout
+ height_axis = width_axis = channel_axis = 1
+ for i, letter in enumerate(layout):
+ if letter == "H":
+ height_axis = i
+ if letter == "W":
+ width_axis = i
+ if letter == "C":
+ channel_axis = i
+ size = get_const_tuple(attrs.size)
+ return [_resize_func(inputs[0], convert(size), convert(height_axis),
Review comment:
Could you also provide batch axis to the shape func as well?
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File path: python/tvm/relay/op/image/_image.py
##########
@@ -109,6 +136,23 @@ def compute_affine_grid(attrs, inputs, out_dtype):
reg.register_injective_schedule("image.affine_grid")
+@script
+def _affine_grid_func(data, target_shape):
+ out = output_tensor((4,), "int64")
+ out[0] = int64(data[0])
+ out[1] = int64(2)
+ out[2] = int64(target_shape[0])
Review comment:
do we support different layout for `affine_grid`?
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