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Paddle frontend #7

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Aug 13, 2021
Merged

Paddle frontend #7

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heliqi Aug 13, 2021
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heliqi Aug 13, 2021
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19 changes: 9 additions & 10 deletions python/tvm/relay/frontend/paddlepaddle.py
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Original file line number Diff line number Diff line change
Expand Up @@ -143,9 +143,9 @@ def convert_conv2d(g, op, block):
paddings = [pad_h[0], pad_w[0], pad_h[1], pad_w[1]]
elif padding_algorithm == "EXPLICIT":
if len(paddings) == 2:
paddings = [paddings[0],paddings[1],paddings[0],paddings[1]]
paddings = [paddings[0], paddings[1], paddings[0], paddings[1]]
if len(paddings) == 4:
paddings = [paddings[0],paddings[2],paddings[1],paddings[3]]
paddings = [paddings[0], paddings[2], paddings[1], paddings[3]]
else:
msg = 'Value {} in attribute "padding" of operator Conv is not ' "valid."
raise tvm.error.OpAttributeInvalid(msg.format(padding_algorithm))
Expand Down Expand Up @@ -346,7 +346,8 @@ def convert_layer_norm(g, op, block):
scale_input = op.input('Scale')

x_shape = infer_shape(x)
assert begin_norm_axis == -1 or begin_norm_axis == len(x_shape) - 1, "Support only normalization over last one dimension."
assert begin_norm_axis == -1 or begin_norm_axis == len(
x_shape) - 1, "Support only normalization over last one dimension."

if bias_input:
bias = g.get_node(bias_input[0])
Expand All @@ -356,7 +357,7 @@ def convert_layer_norm(g, op, block):
if scale_input:
scale = g.get_node(scale_input[0])
else:
scale = _expr.const(np.ones(x_shape[begin_norm_axis]))
scale = _expr.const(np.ones(x_shape[begin_norm_axis]))

out = _op.nn.layer_norm(x,
gamma=scale,
Expand Down Expand Up @@ -587,9 +588,9 @@ def convert_pool2d(g, op, block):
paddings = [pad_h[0], pad_w[0], pad_h[1], pad_w[1]]
elif padding_algorithm == "EXPLICIT":
if len(paddings) == 2:
paddings = [paddings[0],paddings[1],paddings[0],paddings[1]]
paddings = [paddings[0], paddings[1], paddings[0], paddings[1]]
if len(paddings) == 4:
paddings = [paddings[0],paddings[2],paddings[1],paddings[3]]
paddings = [paddings[0], paddings[2], paddings[1], paddings[3]]
else:
msg = 'Value {} in attribute "padding" of operator Pool2d is not ' "valid."
raise tvm.error.OpAttributeInvalid(msg.format(padding_algorithm))
Expand Down Expand Up @@ -700,9 +701,7 @@ def parameter_process(starts, ends, axes, dshape):
if isinstance(decrease_axis, int):
decrease_axis = [decrease_axis]
starts, ends, axes = parameter_process(starts, ends, axes, dshape)
out = _op.strided_slice(data,
begin=starts,
end=ends)
out = _op.strided_slice(data, begin=starts, end=ends)
if decrease_axis:
out = _op.squeeze(out, axis=decrease_axis)
g.add_node(op.output('Out')[0], out)
Expand All @@ -721,6 +720,7 @@ def convert_softmax(g, op, block):
out = e / _op.sum(e, axis, keepdims=True)
g.add_node(op.output('Out')[0], out)


def convert_unsqueeze(g, op, block):
"""Operator converter for unsqueeze."""

Expand Down Expand Up @@ -773,7 +773,6 @@ def convert_unsqueeze(g, op, block):

class GraphProto(object):
""" A helper class for handling relay functions from PaddlePaddle model."""

def __init__(self):
self.nodes = {}
self.params = {}
Expand Down
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