970b1301b5
* Removed back phase transformations related to IRv7 * Fixed setting value for the input port using the 'set_value' method * Removed front and middle phase transformations related to IRv7 * Cleanup the rest of the Model Optimizer transformations from IRv7 specific transformations * Final cleanup of the deprecated IR v7 related code * Removed 'blobs_as_input' usage in the Model Optimizer. * Removed function '_fuse_add' from the Model Optimizer since it is not used anymore. * Removed 'keep_in_IR' node attribute for FakeQuantize ops in the MO * Disabled failing gpu_engine.user_context test
94 lines
3.1 KiB
Python
94 lines
3.1 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from mo.front.common.layout import get_batch_dim, shape_for_layout
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class PSROIPoolingOp(Op):
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op = 'PSROIPooling'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'type': self.op,
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'op': self.op,
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'version': 'opset2',
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'mode': 'average',
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'in_ports_count': 2,
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'out_ports_count': 1,
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'trans_std': 0,
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'no_trans': True,
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'infer': PSROIPoolingOp.psroipooling_infer
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}
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super().__init__(graph, mandatory_props, attrs)
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def supported_attrs(self):
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return [
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'spatial_scale',
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'output_dim',
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('group_size', lambda node: int(node.group_size)),
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'mode',
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'spatial_bins_x',
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'spatial_bins_y',
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'pooled_width',
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'pooled_height',
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]
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@staticmethod
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def psroipooling_infer(node: Node):
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"""
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Sets shape of output node according specified parameters input blobs and node
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Sets number from the first input blob, channels from the second one, height and width are specified
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Parameters
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----------
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node
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"""
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shapes = [node.in_node(i).shape for i in range(len(node.in_nodes()))]
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if any(s is None for s in shapes):
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return
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layout = node.graph.graph['layout']
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assert len(layout) == 4
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assert node.has_valid('group_size')
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assert node.group_size == int(node.group_size)
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node['group_size'] = int(node['group_size'])
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node.out_node().shape = shape_for_layout(layout,
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batch=shapes[1][get_batch_dim(layout, 4)],
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features=node.output_dim,
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height=node.group_size,
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width=node.group_size)
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class DeformablePSROIPoolingOp(PSROIPoolingOp):
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op = 'DeformablePSROIPooling'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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updated_attrs = {
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'type': self.op,
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'op': self.op,
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'version': 'opset1',
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'mode': 'bilinear_deformable',
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'in_ports_count': 3,
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'trans_std': 0,
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}
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updated_attrs.update(attrs)
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super().__init__(graph, updated_attrs)
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def supported_attrs(self):
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return super().supported_attrs() + ['trans_std', 'part_size']
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