Exemple #1
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 def test_tile_infer_all_ones(self):
     graph = build_graph(nodes_attributes, edges,
                         {'tile_values': {
                             'value': np.array([1, 1, 1, 1])
                         }})
     tile_node = Node(graph, 'tile')
     Tile.infer(tile_node)
     self.assertTrue(
         np.all(
             np.array([10, 20, 30, 40]) == graph.node['tile_out']['shape']))
Exemple #2
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 def test_tile_infer_three_non_one(self):
     graph = build_graph(nodes_attributes, edges,
                         {'tile_values': {
                             'value': np.array([2, 1, 5, 2])
                         }})
     tile_node = Node(graph, 'tile')
     Tile.infer(tile_node)
     self.assertTrue(
         np.all(
             np.array([20, 20, 150, 80]) == graph.node['tile_out']
             ['shape']))
Exemple #3
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 def test_tile_infer_shapes_alignment(self):
     graph = build_graph(nodes_attributes, edges, {
         'tile_values': {
             'value': np.array([1, 2, 3]),
             'shape': np.array([3])
         }
     })
     tile_node = Node(graph, 'tile')
     Tile.infer(tile_node)
     self.assertTrue(
         np.all(
             np.array([10, 20, 60, 120]) == graph.node['tile_out']
             ['shape']))
Exemple #4
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 def test_tile_infer_correct_2d_tensor(self):
     graph = build_graph(
         nodes_attributes, edges, {
             'data': {
                 'shape': np.array([3, 7])
             },
             'tile_values': {
                 'value': np.array([5, 1])
             }
         })
     tile_node = Node(graph, 'tile')
     Tile.infer(tile_node)
     self.assertTrue(
         np.all(np.array([15, 7]) == graph.node['tile_out']['shape']))
Exemple #5
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 def test_tile_infer_values_test(self):
     input_data = np.arange(-30, 60, 0.25).reshape([2, 4, 3, -1])
     tile_values = np.array([3, 1, 1, 1])
     graph = build_graph(
         nodes_attributes, edges, {
             'data': {
                 'shape': np.array(input_data.shape),
                 'value': input_data
             },
             'tile_values': {
                 'value': tile_values
             }
         })
     tile_node = Node(graph, 'tile')
     Tile.infer(tile_node)
     self.assertTrue(
         np.all(
             np.tile(input_data, tile_values) == graph.node['tile_out']
             ['value']))
Exemple #6
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 def test_tile_infer_values_const_propagation(self):
     """
     Test for constant propagation even if tile with multiple tile indices is not supported
     """
     input_data = np.arange(-30, 60, 0.25).reshape([2, 4, 3, -1])
     tile_values = np.array([4, 3, 2, 5])
     graph = build_graph(
         nodes_attributes, edges, {
             'data': {
                 'shape': np.array(input_data.shape),
                 'value': input_data
             },
             'tile_values': {
                 'value': tile_values
             }
         })
     tile_node = Node(graph, 'tile')
     Tile.infer(tile_node)
     self.assertTrue(
         np.all(
             np.tile(input_data, tile_values) == graph.node['tile_out']
             ['value']))