97 lines
2.5 KiB
Python
97 lines
2.5 KiB
Python
# Copyright 2016 Google Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Description:
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# Basic RNN model.
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licenses(["notice"]) # Apache 2.0
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py_binary(
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name = "basic_rnn_create_dataset",
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srcs = ["basic_rnn_create_dataset.py"],
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srcs_version = "PY2AND3",
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visibility = [
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# internal pipeline runner
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"//magenta/tools/pip:__subpackages__",
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],
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deps = [
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":basic_rnn_encoder_decoder",
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"//magenta/models/shared:melody_rnn_create_dataset",
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# tensorflow dep
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],
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)
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py_library(
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name = "basic_rnn_encoder_decoder",
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srcs = ["basic_rnn_encoder_decoder.py"],
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srcs_version = "PY2AND3",
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visibility = [
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# internal dev models
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],
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deps = [
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"//magenta",
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],
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)
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py_library(
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name = "basic_rnn_generator",
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srcs = ["basic_rnn_generator.py"],
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srcs_version = "PY2AND3",
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visibility = ["//magenta/interfaces:generator_interfaces"],
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deps = [
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":basic_rnn_encoder_decoder",
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":basic_rnn_graph",
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"//magenta/models/shared:melody_rnn_sequence_generator",
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"//magenta/protobuf:generator_py_pb2",
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],
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)
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py_binary(
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name = "basic_rnn_generate",
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srcs = ["basic_rnn_generate.py"],
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srcs_version = "PY2AND3",
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visibility = ["//magenta/tools/pip:__subpackages__"],
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deps = [
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":basic_rnn_generator",
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"//magenta/models/shared:melody_rnn_generate",
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# tensorflow dep
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],
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)
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py_library(
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name = "basic_rnn_graph",
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srcs = ["basic_rnn_graph.py"],
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srcs_version = "PY2AND3",
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visibility = [
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# internal dev models
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],
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deps = [
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"//magenta",
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"//magenta/models/shared:melody_rnn_graph",
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],
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)
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py_binary(
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name = "basic_rnn_train",
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srcs = ["basic_rnn_train.py"],
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srcs_version = "PY2AND3",
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visibility = ["//magenta/tools/pip:__subpackages__"],
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deps = [
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":basic_rnn_encoder_decoder",
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":basic_rnn_graph",
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"//magenta/models/shared:melody_rnn_train",
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# tensorflow dep
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],
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)
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