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Use np.float32 instead of np.float (#20377)

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Ilya Lavrenov 2023-10-11 03:29:56 +04:00 committed by GitHub
parent e24b6211e3
commit 35308ce34d
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 5 additions and 5 deletions
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2
tests/layer_tests/onnx_tests/test_loop.py
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@ -16,7 +16,7 @@ class TestLoop(OnnxRuntimeLayerTest):
if tensor_type == TensorProto.INT64:
np_type = np.int64
elif tensor_type == TensorProto.FLOAT:
np_type = np.float
np_type = np.float32
elif tensor_type == TensorProto.BOOL:
np_type = bool
else:

4
tools/mo/unit_tests/mo/front/tf/identityN_to_identity_test.py
View File

@ -14,12 +14,12 @@ nodes = {
**regular_op_with_shaped_data('placeholder_0', [1, 227, 227, 3], {'type': 'Parameter'}),
**regular_op_with_shaped_data('placeholder_1', [1, 227, 227, 3], {'type': 'Parameter'}),
**regular_op_with_empty_data('identityN', {'op': 'IdentityN', 'type': None, 'data_types': [np.int32, np.float],
**regular_op_with_empty_data('identityN', {'op': 'IdentityN', 'type': None, 'data_types': [np.int32, np.float32],
'name': 'my_identity'}),
**empty_data('identityN_1_d'),
**regular_op_with_empty_data('identity0', {'op': 'Identity', 'type': None, 'data_type': np.int32,
'name': 'my_identity/0_port'}),
**regular_op_with_empty_data('identity1', {'op': 'Identity', 'type': None, 'data_type': np.float,
**regular_op_with_empty_data('identity1', {'op': 'Identity', 'type': None, 'data_type': np.float32,
'name': 'my_identity/1_port'}),
**result('output0'),

4
tools/mo/unit_tests/mo/middle/UpsampleToResample_test.py
View File

@ -40,7 +40,7 @@ new_ref_graph_node_attr = {
'ss_stride_data': {'kind': 'data', 'value': int64_array([1]), 'shape': int64_array([1])},
'strided_slice': {'type': 'StridedSlice', 'kind': 'op', 'op': 'StridedSlice'},
'strided_slice_data': {'kind': 'data', 'shape': None, 'value': None},
'cast_to_float': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.float},
'cast_to_float': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.float32},
'cast_to_float_d': {'kind': 'data', 'value': None, 'shape': None},
'factor': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([5, 5]), 'shape': int64_array([2])},
'factor_data': {'kind': 'data', 'value': int64_array([5, 5]), 'shape': int64_array([2])},
@ -104,7 +104,7 @@ ref_graph_node_attrs = {
'ss_end_data': {'kind': 'data', 'value': None, 'shape': None},
'ss_stride': {'kind': 'op', 'op': 'Const', 'type': 'Const', 'value': int64_array([1]), 'shape': int64_array([1])},
'ss_stride_data': {'kind': 'data', 'value': None, 'shape': None},
'cast_to_float': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.float},
'cast_to_float': {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'dst_type': np.float32},
'cast_to_float_d': {'kind': 'data', 'value': None, 'shape': None},
'mul': {'type': 'Multiply', 'kind': 'op', 'op': 'Multiply'},
'mul_data': {'kind': 'data', 'shape': None, 'value': None},