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Functions3,126 in github.com/XL2248/MSCTD

⨍ Functions 3,126◇ Types & classes 144
↓ 26 callersFunction_layer_process
(x, mode, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer.py:18
↓ 23 callersFunction_layer_process
(x, mode, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/contextual_transformer.py:16
↓ 23 callersFunction_layer_process
(x, mode, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/contextual_transformer.py:16
↓ 23 callersFunction_layer_process
(x, mode, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/contextual_transformer.py:16
↓ 22 callersFunction_layer_process
(x, mode, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/transformer.py:18
↓ 22 callersFunction_layer_process
(x, mode, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/transformer.py:18
↓ 17 callersFunction_layer_process
(x, mode)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer_ctx.py:18
↓ 17 callersFunction_layer_process
(x, mode)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/transformer_ctx.py:18
↓ 17 callersFunction_layer_process
(x, mode)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/transformer_ctx.py:18
↓ 16 callersFunction_layer_process
(x, mode)
src_code/c-thumt-att2/thumt/models/transformer.py:26
↓ 16 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/fine-thumt-m/thumt/layers/nn.py:11
↓ 16 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/layers/nn.py:11
↓ 15 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/fine-thumt-con-new/thumt/layers/nn.py:11
↓ 15 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/layers/nn.py:11
↓ 15 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/layers/nn.py:11
↓ 15 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt1_code/thumt/layers/nn.py:11
↓ 15 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/c-thumt-sum/thumt/layers/nn.py:11
↓ 15 callersFunctionlinear
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/c-thumt-att2/thumt/layers/nn.py:11
↓ 14 callersMethodget_name
()
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/model.py:54
↓ 14 callersMethodget_name
()
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/model.py:54
↓ 14 callersMethodget_name
()
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/model.py:54
↓ 12 callersFunction_layer_process
(x, mode)
src_code/fine-thumt-con-new/thumt/models/transformer.py:35
↓ 12 callersFunction_layer_process
(x, mode)
src_code/fine-thumt-con-new/thumt/models/transformer_my.py:18
↓ 12 callersFunction_layer_process
(x, mode)
src_code/thumt1_code/thumt/models/transformer.py:18
↓ 12 callersFunction_layer_process
(x, mode)
src_code/fine-thumt-m/thumt/models/transformer.py:35
↓ 12 callersFunction_layer_process
(x, mode)
src_code/fine-thumt-m/thumt/models/transformer_my.py:18
↓ 12 callersFunction_layer_process
(x, mode)
src_code/c-thumt-sum/thumt/models/transformer.py:26
↓ 12 callersFunction_layer_process
(x, mode)
src_code/c-thumt-sum/thumt/models/transformer_my.py:18
↓ 12 callersFunction_layer_process
(x, mode)
src_code/c-thumt-att2/thumt/models/transformer_my.py:18
↓ 11 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer.py:27
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/fine-thumt-con-new/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt1_code/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/fine-thumt-m/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/c-thumt-sum/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/c-thumt-att2/thumt/utils/lrp.py:141
↓ 10 callersFunctionlinear_v2n
Linear layer :param inputs: A Tensor or a list of Tensors with shape [batch, input_size] :param output_size: An integer specify the outpu
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/utils/lrp.py:141
↓ 9 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/contextual_transformer.py:25
↓ 9 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/contextual_transformer.py:25
↓ 9 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/transformer.py:27
↓ 9 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/contextual_transformer.py:25
↓ 9 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/transformer.py:27
↓ 9 callersMethodget_parameters
()
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/model.py:58
↓ 9 callersMethodget_parameters
()
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/model.py:58
↓ 9 callersMethodget_parameters
()
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/model.py:58
↓ 8 callersMethodget_name
()
src_code/fine-thumt-con-new/thumt/models/model.py:54
↓ 8 callersMethodget_name
()
src_code/thumt1_code/thumt/models/model.py:54
↓ 8 callersMethodget_name
()
src_code/fine-thumt-m/thumt/models/model.py:54
↓ 8 callersMethodget_name
()
src_code/c-thumt-sum/thumt/models/model.py:54
↓ 8 callersMethodget_name
()
src_code/c-thumt-att2/thumt/models/model.py:54
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/fine-thumt-con-new/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt1_code/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/fine-thumt-m/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/c-thumt-sum/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/c-thumt-att2/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/rnnsearch_lrp.py:38
↓ 7 callersFunction_gather_2d
Gather the 2nd dimension given indices :param params: A tensor with shape [batch_size, M, ...] :param indices: A tensor with shape [batch_siz
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/utils/inference_ctx.py:120
↓ 7 callersFunction_gather_2d
Gather the 2nd dimension given indices :param params: A tensor with shape [batch_size, M, ...] :param indices: A tensor with shape [batch_siz
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/utils/inference_ctx.py:120
↓ 7 callersFunction_gather_2d
Gather the 2nd dimension given indices :param params: A tensor with shape [batch_size, M, ...] :param indices: A tensor with shape [batch_siz
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/utils/inference_ctx.py:120
↓ 7 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer_ctx.py:27
↓ 7 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/transformer_ctx.py:27
↓ 7 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/c-thumt-att2/thumt/models/transformer.py:35
↓ 7 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/transformer_ctx.py:27
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/fine-thumt-con-new/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/thumt1_code/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/fine-thumt-m/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/c-thumt-sum/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/c-thumt-att2/thumt/models/transformer_lrp.py:64
↓ 7 callersFunctionlayer_process
(x, mode)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/transformer_lrp.py:64
↓ 6 callersFunctionget_turn_position
(file1)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/bin/translator_bak.py:236
↓ 6 callersFunctionget_turn_position
(file1)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/bin/translator_ctx.py:223
↓ 6 callersFunctionget_turn_position
(file1)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/bin/translator_bak.py:236
↓ 6 callersFunctionget_turn_position
(file1)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/bin/translator_ctx.py:223
↓ 6 callersFunctionget_turn_position
(file1)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/bin/translator_bak.py:236
↓ 6 callersFunctionget_turn_position
(file1)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/bin/translator_ctx.py:223
↓ 6 callersFunctiontransformer_encoder
(inputs, bias, params, dia_mask=None, dtype=None, scope=None, trainable=True, get_first_layer=False)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer.py:126
↓ 6 callersFunctiontransformer_encoder
(inputs, bias, params, dia_mask=None, dtype=None, scope=None, trainable=True, get_first_layer=False)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/transformer.py:146
↓ 6 callersFunctiontransformer_encoder
(inputs, bias, params, image, dia_mask=None, dtype=None, scope=None, trainable=True, get_first_layer=False)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/transformer.py:146
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/fine-thumt-con-new/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt1_code/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/fine-thumt-m/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/c-thumt-sum/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/c-thumt-att2/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_copy_through
(time, length, output, new_output)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-fine/thumt/models/rnnsearch.py:18
↓ 5 callersFunction_ffn_layer
(inputs, hidden_size, output_size, keep_prob=None, dtype=None, scope=None, trainable=True)
src_code/thumt-dialog-wo-sp-decoder-w-mask-all-mlp-four-coarse-nct-att2/thumt/models/transformer.py:33
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/fine-thumt-con-new/thumt/models/transformer.py:44
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/fine-thumt-con-new/thumt/models/transformer_my.py:27
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/thumt1_code/thumt/models/transformer.py:27
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/fine-thumt-m/thumt/models/transformer.py:44
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/fine-thumt-m/thumt/models/transformer_my.py:27
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/c-thumt-sum/thumt/models/transformer.py:35
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/c-thumt-sum/thumt/models/transformer_my.py:27
↓ 5 callersFunction_residual_fn
(x, y, keep_prob=None)
src_code/c-thumt-att2/thumt/models/transformer_my.py:27
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