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I have a batch of time serial data for regression analysis. Every timestamp has 30 features. At the beginning data are prepared as numpy ndarries. Then, I transform them into tensor datasets and set t…
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Summary of what happened:
* LLVM integrate #17330 had to disable a number of e2e tests/benchmarks. Specifically, all tests compiling a `.mlirbc` source that contains a `tensor.expand_shape` op.
* Th…
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# 📚 Bounded Dynamic Shape Design
# Contributors
**List of contributors in chronological order:**
* @ezyang (Meta), @Gamrix (Meta), @JackCaoG (Google), @Krovatkin (Meta), @miladm (Google), @shauhe…
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When using an image_preloader to supply input images to the network training, the shape of the input tensor does not fit the defined input tensor e.g. for an input_layer, although the image size was c…
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Hi! Thanks for your outstanding work!
I have a some question about loss calculation.
Suppose, I have in my dataset some target objects which should be ignored during training.
There is a right way …
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Currently tvm schedules are mostly optimized for batch_size=1. To use batch_size is larger than 1, one needs to compile modle with AutoTvm.
https://discuss.tvm.apache.org/t/more-slower-use-tvm-than…
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## Is your feature request related to a problem? Please describe.
Every model ultimately transforms an input tensor (array of numbers) to an output tensor (another array of numbers). This is …
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### 🐛 Describe the bug
`_tensors_definitely_do_not_overlap` generates a quadratic number of guards when the tensors in question have symbolic shapes.
@bdhirsh has a mini repro:
```
import to…
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代码如下:
```python
#! python3
# -*- encoding: utf-8 -*-
"""
Created on Mon Sep 26 08:02:10 2022
@author: eanson
"""
import pandas as pd
import torch
import math
import os
# 训练集比例
trai…
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I'm trying to use TensorOperations to make a tensor regression. Basically it's a sequence of (in my case) 3rd-order tensor contractions. But I need to treat some of the tensors as if they were trainab…