Comments (2)
Facing similar error while using QGRU
from qkeras.
Still happens in the qkeras 0.9.0
ValueError: Dimensions must be equal, but are 32 and 2 for '{{node qgru/qgru_cell/MatMul_3}} = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false](qgru/zeros, qgru/qgru_cell/strided_slice_6)' with input shapes: [?,32], [2,32].
Call arguments received:
• inputs=tf.Tensor(shape=(None, 2), dtype=float32)
• states=('tf.Tensor(shape=(None, 32), dtype=float32)',)
• training=None
Call arguments received:
• inputs=tf.Tensor(shape=(None, 25, 2), dtype=float32)
• mask=None
• training=None
• initial_state=None`
EDIT:
I fixed by specifying all the quantizers inside QGRU
Example:
QGRU(32, kernel_quantizer="binary(alpha=1)", bias_quantizer="binary(alpha=1)", state_quantizer="binary(alpha=1)", recurrent_quantizer="binary(alpha=1)")
from qkeras.
Related Issues (20)
- Error in energy estimation for AveragePooling2D layers
- Using Auto HOT 1
- Very low accuracy following AutoQKeras notebook and CUDA error HOT 1
- How low precision weights and biases are stored in QKeras? HOT 4
- When I use QKeras: Failed to load in-memory CUBIN: CUDA_ERROR_NO_BINARY_FOR_GPU: no kernel image is available for execution on the device [Op:Abs] HOT 2
- Params not quantized after model_save_quantized_weights function HOT 4
- Only Qconv layer's output tensors are quantized
- Cannot convert 6.0 to EagerTensor of dtype int64
- How do I save an AutoQKeras model that a different script can load?
- `pyparser` vs `pyparsing`
- Can QKeras support Full integer quantization HOT 8
- Add a custom layer with a bitwise operation
- TFLite compatibility
- How can I get the scale of the QAdaptiveActivation layer
- How do keras and qkeras versions correspond to each other?
- Difference between Qkeras model and Keras model HOT 9
- Adding QKeras to conda forge
- GPU Inferencing in Qkeras
- Any documentation for AutoQkeras?
- Inference of QKeras models HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from qkeras.