From 505b1c2402efe6c6742601cd81017c5cfe32362f Mon Sep 17 00:00:00 2001 From: wjj19950828 Date: Wed, 12 Jan 2022 17:48:21 +0800 Subject: [PATCH] Add Fourier transform ops --- x2paddle/op_mapper/pytorch2paddle/aten.py | 177 ++++++++++++++++++++++ 1 file changed, 177 insertions(+) diff --git a/x2paddle/op_mapper/pytorch2paddle/aten.py b/x2paddle/op_mapper/pytorch2paddle/aten.py index b11a414..ff327ce 100755 --- a/x2paddle/op_mapper/pytorch2paddle/aten.py +++ b/x2paddle/op_mapper/pytorch2paddle/aten.py @@ -1038,6 +1038,43 @@ def aten_clamp_min(mapper, graph, node): return current_inputs, current_outputs +def aten_complex(mapper, graph, node): + """ + TorchScript示例: + %ret.2 : Tensor = aten::complex(%150, %156) + 参数含义: + %ret.2 (Tensor): complex结果Tensor。 + %150 (Tensor): 实部输入Tensor。 + %156 (Tensor): 虚部输入Tensor。 + """ + scope_name = mapper.normalize_scope_name(node) + output_name = mapper._get_outputs_name(node)[0] + layer_outputs = [output_name] + layer_inputs = {} + layer_attrs = {} + inputs_name, inputs_node = mapper._get_inputs_name(node) + # 获取当前节点输出的list + current_outputs = [output_name] + # 处理输入0，即%150 + mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs, + scope_name) + layer_inputs["real"] = inputs_name[0] + # 处理输入1，即%156 + mapper._check_input(graph, inputs_node[1], inputs_name[1], current_outputs, + scope_name) + layer_inputs["imag"] = inputs_name[1] + # 获取当前节点输入的list + current_inputs = list(layer_inputs.values()) + + graph.add_layer( + "paddle.complex", + inputs=layer_inputs, + outputs=layer_outputs, + scope_name=scope_name, + **layer_attrs) + return current_inputs, current_outputs + + def aten___contains__(mapper, graph, node): """ 构造in的PaddleLayer。 TorchScript示例: @@ -2070,6 +2107,86 @@ def aten_feature_dropout(mapper, graph, node): return current_inputs, current_outputs +def aten_fft_rfftn(mapper, graph, node): + """ + TorchScript示例: + %x_gap.15 : Tensor = aten::fft_rfftn(%x.58, %2166, %1450, %1453) + 参数含义: + %x_gap.15 (Tensor): Output Tensor。 + %x.58 (Tensor): Input Tensor。 + %2166：Sequence Length + %1450：axes + %1453：norm mode + """ + scope_name = mapper.normalize_scope_name(node) + output_name = mapper._get_outputs_name(node)[0] + layer_outputs = [output_name] + layer_inputs = {} + layer_attrs = {} + inputs_name, inputs_node = mapper._get_inputs_name(node) + # 获取当前节点输出的list + current_outputs = [output_name] + # 处理输入0，即%n.3 + mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs, + scope_name) + layer_inputs["x"] = inputs_name[0] + # 获取当前节点输入的list + current_inputs = list(layer_inputs.values()) + if inputs_name[1] in mapper.attrs: + layer_attrs["s"] = mapper.attrs[inputs_name[1]] + if inputs_name[2] in mapper.attrs: + layer_attrs["axes"] = mapper.attrs[inputs_name[2]] + if inputs_name[3] in mapper.attrs: + layer_attrs["norm"] = mapper.attrs[inputs_name[3]] + graph.add_layer( + "paddle.fft.rfftn", + inputs=layer_inputs, + outputs=layer_outputs, + scope_name=scope_name, + **layer_attrs) + return current_inputs, current_outputs + + +def aten_fft_irfftn(mapper, graph, node): + """ + TorchScript示例: + %x_gap.15 : Tensor = aten::fft_irfftn(%x.58, %2166, %1450, %1453) + 参数含义: + %x_gap.15 (Tensor): Output Tensor。 + %x.58 (Tensor): Input Tensor。 + %2166：Sequence Length + %1450：axes + %1453：norm mode + """ + scope_name = mapper.normalize_scope_name(node) + output_name = mapper._get_outputs_name(node)[0] + layer_outputs = [output_name] + layer_inputs = {} + layer_attrs = {} + inputs_name, inputs_node = mapper._get_inputs_name(node) + # 获取当前节点输出的list + current_outputs = [output_name] + # 处理输入0，即%n.3 + mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs, + scope_name) + layer_inputs["x"] = inputs_name[0] + # 获取当前节点输入的list + current_inputs = list(layer_inputs.values()) + if inputs_name[1] in mapper.attrs: + layer_attrs["s"] = mapper.attrs[inputs_name[1]] + if inputs_name[2] in mapper.attrs: + layer_attrs["axes"] = mapper.attrs[inputs_name[2]] + if inputs_name[3] in mapper.attrs: + layer_attrs["norm"] = mapper.attrs[inputs_name[3]] + graph.add_layer( + "paddle.fft.irfftn", + inputs=layer_inputs, + outputs=layer_outputs, + scope_name=scope_name, + **layer_attrs) + return current_inputs, current_outputs + + def aten_flatten(mapper, graph, node): """ 构造flatten的PaddleLayer。 TorchScript示例: @@ -2669,6 +2786,36 @@ def aten_index(mapper, graph, node): return current_inputs, current_outputs +def aten_imag(mapper, graph, node): + """ 构造获取绝对值的PaddleLayer。 + TorchScript示例: + %n0.3 : Tensor = aten::imag(%1) + 参数含义: + %1 (Tensor): Complex Tensor。 + %n0.3 (Tensor): 返回虚部 Tensor。 + """ + scope_name = mapper.normalize_scope_name(node) + output_name = mapper._get_outputs_name(node)[0] + layer_outputs = [output_name] + layer_inputs = {} + inputs_name, inputs_node = mapper._get_inputs_name(node) + # 获取当前节点输出的list + current_outputs = [output_name] + # 处理输入0，即%n.3 + mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs, + scope_name) + layer_inputs["x"] = inputs_name[0] + # 获取当前节点输入的list + current_inputs = list(layer_inputs.values()) + + graph.add_layer( + "paddle.imag", + inputs=layer_inputs, + outputs=layer_outputs, + scope_name=scope_name) + return current_inputs, current_outputs + + def aten_index_select(mapper, graph, node): """ 构造选择元素的PaddleLayer。 TorchScript示例: @@ -4068,6 +4215,36 @@ def aten_prelu(mapper, graph, node): return current_inputs, current_outputs +def aten_real(mapper, graph, node): + """ + TorchScript示例: + %n0.3 : Tensor = aten::real(%n.3) + 参数含义: + %n0.3 (Tensor): Return Real Tensor。 + %n.3 (Tensor): Input Complex Tensor。 + """ + scope_name = mapper.normalize_scope_name(node) + output_name = mapper._get_outputs_name(node)[0] + layer_outputs = [output_name] + layer_inputs = {} + inputs_name, inputs_node = mapper._get_inputs_name(node) + # 获取当前节点输出的list + current_outputs = [output_name] + # 处理输入0，即%n.3 + mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs, + scope_name) + layer_inputs["x"] = inputs_name[0] + # 获取当前节点输入的list + current_inputs = list(layer_inputs.values()) + + graph.add_layer( + "paddle.real", + inputs=layer_inputs, + outputs=layer_outputs, + scope_name=scope_name) + return current_inputs, current_outputs + + def aten_reflection_pad1d(mapper, graph, node): """ 构造1维映射填充的PaddleLayer。 TorchScript示例: -- GitLab