diff --git a/onnxmltools/convert/coreml/operator_converters/neural_network/LoadConstantND.py b/onnxmltools/convert/coreml/operator_converters/neural_network/LoadConstantND.py new file mode 100644 index 00000000..f7de2aec --- /dev/null +++ b/onnxmltools/convert/coreml/operator_converters/neural_network/LoadConstantND.py @@ -0,0 +1,21 @@ +# ------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for +# license information. +# -------------------------------------------------------------------------- + +from .....proto import helper +from .....proto import onnx_proto +from ....common._registration import register_converter +from ....common._apply_operation import apply_constant + +def convert_load_constant_nd(scope, operator, container): + params = operator.raw_operator.loadConstantND + constant_name = scope.get_unique_variable_name('constant') + constant = helper.make_tensor(constant_name, onnx_proto.TensorProto.FLOAT, + params.shape, params.data.floatValue) + + apply_constant(scope, operator.output_full_names, container, + operator_name=operator.full_name, value=constant) + +register_converter('loadConstantND', convert_load_constant_nd) diff --git a/onnxmltools/convert/coreml/operator_converters/neural_network/ReshapeStatic.py b/onnxmltools/convert/coreml/operator_converters/neural_network/ReshapeStatic.py new file mode 100644 index 00000000..d47622e2 --- /dev/null +++ b/onnxmltools/convert/coreml/operator_converters/neural_network/ReshapeStatic.py @@ -0,0 +1,37 @@ +# ------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for +# license information. +# -------------------------------------------------------------------------- + +from ....common._apply_operation import apply_reshape +from ....common._registration import register_converter + + +def convert_reshape_static(scope, operator, container): + from coremltools.proto.NeuralNetwork_pb2 import ReshapeLayerParams as Params + + params = operator.raw_operator.reshapeStatic + + # print(params) + intra_variable_name = operator.inputs[0].full_name + + N = operator.inputs[0].type.shape[0] + if N == 'None': + N = -1 + if len(params.targetShape) == 4: + output_shape = [int(d) for d in params.targetShape] + output_shape[0] = N # Overwrite bad default CoreML setting + elif len(params.targetShape) == 3: + output_shape = [N] + [int(d) for d in params.targetShape] + elif len(params.targetShape) == 2: + output_shape = [N] + [int(d) for d in params.targetShape] + else: + raise ValueError('The targeted shape of Reshape (name: %s) must be 3-element or 4-element array but got %s'\ + % (operator.full_name, params.targetShape)) + + apply_reshape(scope=scope, input_name=intra_variable_name, output_name=operator.outputs[0].full_name, + container=container, operator_name=operator.full_name, desired_shape=output_shape) + + +register_converter('reshapeStatic', convert_reshape_static) diff --git a/onnxmltools/convert/coreml/operator_converters/neural_network/__init__.py b/onnxmltools/convert/coreml/operator_converters/neural_network/__init__.py index c7502c61..d74317ab 100644 --- a/onnxmltools/convert/coreml/operator_converters/neural_network/__init__.py +++ b/onnxmltools/convert/coreml/operator_converters/neural_network/__init__.py @@ -22,6 +22,7 @@ from . import InnerProduct from . import L2Normalize from . import LoadConstant +from . import LoadConstantND from . import LRN from . import LSTM from . import Max @@ -35,6 +36,7 @@ from . import Reduce from . import ReorganizeData from . import Reshape +from . import ReshapeStatic from . import Scale from . import SequenceRepeat from . import SimpleRNN diff --git a/onnxmltools/convert/coreml/shape_calculators/neural_network/LoadConstantND.py b/onnxmltools/convert/coreml/shape_calculators/neural_network/LoadConstantND.py new file mode 100644 index 00000000..3559fc75 --- /dev/null +++ b/onnxmltools/convert/coreml/shape_calculators/neural_network/LoadConstantND.py @@ -0,0 +1,30 @@ +#------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for +# license information. +#-------------------------------------------------------------------------- + +from ....common._registration import register_shape_calculator +from ....common.data_types import TensorType, FloatTensorType +from ....common.utils import check_input_and_output_numbers + +def calculate_load_constant_nd_output_shapes(operator): + check_input_and_output_numbers(operator, input_count_range=None, output_count_range=1) + + output = operator.outputs[0] + + # CoreML's constant is always 3-D tensor, so we assume its shape is [C, H, W]. + const_shape = operator.raw_operator.loadConstantND.shape + # We convert [C, H, W] to [1, C, H, W] because our parsing code use [N, C, H, W] + const_shape = [1] + [int(d) for d in const_shape] + if output.type is None: + # Use default type + output.type = FloatTensorType(const_shape, doc_string=output.type.doc_string) + else: + if not isinstance(output.type, TensorType): + raise RuntimeError('Type conflict detected. Output must be a tensor.') + # If output type exists, we just modify its shape. + output.type.shape = const_shape + + +register_shape_calculator('loadConstantND', calculate_load_constant_nd_output_shapes) diff --git a/onnxmltools/convert/coreml/shape_calculators/neural_network/ReshapeStatic.py b/onnxmltools/convert/coreml/shape_calculators/neural_network/ReshapeStatic.py new file mode 100644 index 00000000..4e75daa8 --- /dev/null +++ b/onnxmltools/convert/coreml/shape_calculators/neural_network/ReshapeStatic.py @@ -0,0 +1,31 @@ +# ------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for +# license information. +# -------------------------------------------------------------------------- + +from ....common._registration import register_shape_calculator +from ....common.data_types import FloatTensorType +from ....common.utils import check_input_and_output_numbers, check_input_and_output_types + +def calculate_reshape_static_output_shapes(operator): + ''' + Allowed input/output patterns are + 1. [N, C, H, W] ---> [N, C', H', W'] + + Note that C*H*W should equal to C'*H'*W'. + ''' + check_input_and_output_numbers(operator, input_count_range=1, output_count_range=1) + check_input_and_output_types(operator, good_input_types=[FloatTensorType]) + + params = operator.raw_operator.reshapeStatic + + output_shape = list(int(i) for i in params.targetShape) + + if len(output_shape) == 3: + output_shape = [operator.inputs[0].type.shape[0]] + output_shape + + operator.outputs[0].type.shape = output_shape + + +register_shape_calculator('reshapeStatic', calculate_reshape_static_output_shapes) diff --git a/onnxmltools/convert/coreml/shape_calculators/neural_network/__init__.py b/onnxmltools/convert/coreml/shape_calculators/neural_network/__init__.py index 319be4ee..1e45dcb1 100644 --- a/onnxmltools/convert/coreml/shape_calculators/neural_network/__init__.py +++ b/onnxmltools/convert/coreml/shape_calculators/neural_network/__init__.py @@ -17,6 +17,7 @@ from . import IdentityFloat from . import InnerProduct from . import LoadConstant +from . import LoadConstantND from . import LSTM from . import Merge from . import Pad @@ -25,6 +26,7 @@ from . import Reduce from . import ReorganizeData from . import Reshape +from . import ReshapeStatic from . import SequenceRepeat from . import Slice from . import Split