removing pytorch folder in root

pytorch/examples/SRNN/.gitignore

@@ -1 +0,0 @@
-GoogleSpeech/*

pytorch/examples/SRNN/helpermethods.py

@@ -1,70 +0,0 @@
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# Licensed under the MIT license.
-
-import argparse
-
-def getSRNN2Args():
-    def checkIntPos(value):
-        ivalue = int(value)
-        if ivalue <= 0:
-            raise argparse.ArgumentTypeError(
-                "%s is an invalid positive int value" % value)
-        return ivalue
-
-    def checkIntNneg(value):
-        ivalue = int(value)
-        if ivalue < 0:
-            raise argparse.ArgumentTypeError(
-                "%s is an invalid non-neg int value" % value)
-        return ivalue
-
-    def checkFloatNneg(value):
-        fvalue = float(value)
-        if fvalue < 0:
-            raise argparse.ArgumentTypeError(
-                "%s is an invalid non-neg float value" % value)
-        return fvalue
-
-    def checkFloatPos(value):
-        fvalue = float(value)
-        if fvalue <= 0:
-            raise argparse.ArgumentTypeError(
-                "%s is an invalid positive float value" % value)
-        return fvalue
-
-    parser = argparse.ArgumentParser(
-        description='Hyperparameters for 2 layer SRNN Algorithm')
-
-    parser.add_argument('-d', '--data-dir', required=True,
-                        help='Directory containing processed data.')
-    parser.add_argument('-h0', '--hidden-dim0', type=checkIntPos, default=64,
-                        help='Hidden dimension of lower layer RNN cell.')
-    parser.add_argument('-h1', '--hidden-dim1', type=checkIntPos, default=32,
-                        help='Hidden dimension of upper layer RNN cell.')
-    parser.add_argument('-bz', '--brick-size', type=checkIntPos, required=True,
-                        help='Brick size to be used at the lower layer.')
-    parser.add_argument('-c', '--cell-type', default='LSTM',
-                        help='Type of RNN cell to use among [LSTM, FastRNN, ' +
-                        'FastGRNN')
-
-    parser.add_argument('-p', '--num-prototypes', type=checkIntPos, default=20,
-                        help='Number of prototypes.')
-    parser.add_argument('-g', '--gamma', type=checkFloatPos, default=None,
-                        help='Gamma for Gaussian kernel. If not provided, ' +
-                        'median heuristic will be used to estimate gamma.')
-
-    parser.add_argument('-e', '--epochs', type=checkIntPos, default=10,
-                        help='Total training epochs.')
-    parser.add_argument('-b', '--batch-size', type=checkIntPos, default=128,
-                        help='Batch size for each pass.')
-    parser.add_argument('-r', '--learning-rate', type=checkFloatPos,
-                        default=0.01,
-                        help='Learning rate for ADAM Optimizer.')
-
-    parser.add_argument('-pS', '--print-step', type=int, default=200,
-                        help='The number of update steps between print ' +
-                        'calls to console.')
-    parser.add_argument('-vS', '--val-step', type=int, default=5,
-                        help='The number of epochs between validation' +
-                        'performance evaluation')
-    return parser.parse_args()