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291 lines
6.9 KiB
291 lines
6.9 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "breeding-haven",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/home/ssd5/zhanghui/DeepSpeech2.x\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'/home/ssd5/zhanghui/DeepSpeech2.x'"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"%cd ..\n",
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"%pwd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "appropriate-theta",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"LICENSE deepspeech examples\t\t requirements.txt tools\r\n",
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"README.md docs\t libsndfile-1.0.28\t setup.sh\t utils\r\n",
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"README_cn.md env.sh\t libsndfile-1.0.28.tar.gz tests\r\n"
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]
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}
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],
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"source": [
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"!ls"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "entire-bloom",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/ssd5/zhanghui/DeepSpeech2.x/tools/venv/lib/python3.7/site-packages/paddle/fluid/layers/utils.py:26: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
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"Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
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" def convert_to_list(value, n, name, dtype=np.int):\n",
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"WARNING:root:override cat of paddle.Tensor if exists or register, remove this when fixed!\n",
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"WARNING:root:register user masked_fill to paddle.Tensor, remove this when fixed!\n",
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"WARNING:root:register user masked_fill_ to paddle.Tensor, remove this when fixed!\n",
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"WARNING:root:register user repeat to paddle.Tensor, remove this when fixed!\n",
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"WARNING:root:register user glu to paddle.nn.functional, remove this when fixed!\n",
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"WARNING:root:register user GLU to paddle.nn, remove this when fixed!\n",
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"WARNING:root:register user ConstantPad2d to paddle.nn, remove this when fixed!\n",
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"WARNING:root:override ctc_loss of paddle.nn.functional if exists, remove this when fixed!\n"
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]
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}
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],
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"source": [
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"from deepspeech.modules import loss"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "governmental-aircraft",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/ssd5/zhanghui/DeepSpeech2.x/tools/venv/lib/python3.7/site-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
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" and should_run_async(code)\n"
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]
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}
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],
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"source": [
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"import paddle"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "proprietary-disaster",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<function deepspeech.modules.repeat(xs: paddle.VarBase, *size: Any) -> paddle.VarBase>"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"paddle.Tensor.repeat"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "first-diagram",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<property at 0x7fb515eeeb88>"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"paddle.Tensor.size"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "intelligent-david",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<function paddle.tensor.manipulation.concat(x, axis=0, name=None)>"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"paddle.Tensor.cat"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "bronze-tenant",
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"metadata": {},
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"outputs": [],
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"source": [
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"a = paddle.to_tensor([12,32, 10, 12, 123,32 ,4])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "balanced-bearing",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"7"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"a.size"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"id": "extreme-republic",
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"metadata": {},
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"outputs": [],
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"source": [
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"def size(xs: paddle.Tensor, *args: int) -> paddle.Tensor:\n",
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" nargs = len(args)\n",
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" assert (nargs <= 1)\n",
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" s = paddle.shape(xs)\n",
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" if nargs == 1:\n",
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" return s[args[0]]\n",
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" else:\n",
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" return s\n",
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"\n",
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"# logger.warn(\n",
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"# \"override size of paddle.Tensor if exists or register, remove this when fixed!\"\n",
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"# )\n",
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"paddle.Tensor.size = size"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "gross-addiction",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Tensor(shape=[1], dtype=int32, place=CPUPlace, stop_gradient=True,\n",
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" [7])"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"a.size(0)\n",
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"a.size()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"id": "adverse-dining",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Tensor(shape=[1], dtype=int32, place=CPUPlace, stop_gradient=True,\n",
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" [7])"
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]
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},
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"a.size()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "popular-potato",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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