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README (2).md

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+# keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8
+
+## Description
+This is a fully quantized int8 version of the DS-CNN Large model developed by Arm, from the Hello Edge paper.
+
+## License
+[Apache-2.0](https://spdx.org/licenses/Apache-2.0.html)
+
+## Network Information
+| Network Information | Value |
+|---------------------|-------|
+|  Framework          | TensorFlow Lite |
+|  Datatype           | int8 |
+|  SHA-1 Hash         | 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972 |
+|  Size (Bytes)       | 503816 |
+|  Provenance         | https://arxiv.org/abs/1711.07128 |
+|  Training           | Trained by Arm |
+|  Paper | https://arxiv.org/abs/1711.07128 |
+
+## DataSet
+| Dataset Information | Value |
+|--------|-------|
+| Name | Google Speech Commands test set |
+
+## Accuracy
+
+| Metric | Value |
+|--------|-------|
+| Accuracy | 94.52% |
+
+## HW Support
+| HW Support   | Value |
+|--------------|-------|
+| Cortex-A |:heavy_check_mark:          |
+| Cortex-M |:heavy_check_mark: HERO         |
+| Mali GPU |:heavy_check_mark:          |
+| Ethos U  |:heavy_check_mark:          |
+
+### Key
+* :heavy_check_mark: - Will run on this platform.
+* :heavy_multiplication_x: - Will not run on this platform.
+
+## Network Quality
+| Network Quality         | Value |
+|-------------------------|-------|
+|  Recreate               | :heavy_check_mark:    |
+|  Quality level          | Hero    |
+|  Vanilla                | :heavy_check_mark:    |
+|  Clustered              | :heavy_multiplication_x:    |
+|  Pruned                 | :heavy_multiplication_x:    |
+|  Quantization - default | :heavy_multiplication_x:    |
+|  Quantization - full    | :heavy_check_mark:    |
+
+## Network Inputs
+| Input Node Name | Shape | Type | Example Path | Example Type | Example Shape | Example Use Case |
+|-----------------|-------|-------|--------------|-------|-------|-----------------|
+| input | (1, 490) | int8 | models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_input/input | int8 | [1, 490] | The input is a processed MFCCs |
+
+## Network Outputs
+| Output Node Name | Shape | Type | Example Path | Example Type | Example Shape | Example Use Case |
+|-----------------|-------|-------|--------------|-------|-------|-----------------|
+| Identity | (1, 12) | int8 | models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_output/Identity | int8 | [1, 12] | The probability on 12 keywords |

definition.yaml

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+benchmark:
+  benchmark_metrics:
+    Accuracy: 94.52%
+  benchmark_name: Google Speech Commands test set
+description: This is a fully quantized int8 version of the DS-CNN Large model developed
+  by Arm, from the Hello Edge paper.
+license:
+- Apache-2.0
+network:
+  datatype: int8
+  file_size_bytes: 503816
+  filename: ds_cnn_l_quantized.tflite
+  framework: TensorFlow Lite
+  hash:
+    algorithm: sha1
+    value: 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972
+  provenance: https://arxiv.org/abs/1711.07128
+  training: Trained by Arm
+network_parameters:
+  input_nodes:
+  - description: The input is a processed MFCCs of shape (1, 490)
+    example_input:
+      path: models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_input/input
+      shape:
+      - 1
+      - 490
+      type: int8
+      use_case: Random input for model regression.
+    input_datatype: int8
+    name: input
+    shape:
+    - 1
+    - 490
+  output_nodes:
+  - description: The probability on 12 keywords.
+    example_output:
+      path: models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_int8/testing_output/Identity
+      shape:
+      - 1
+      - 12
+      type: int8
+      use_case: output for model regression.
+    name: Identity
+    output_datatype: int8
+    shape:
+    - 1
+    - 12
+network_quality:
+  clustered: false
+  is_vanilla: true
+  pruned: false
+  quality_level: Deployable
+  quality_level_hero_hw: cortex_m
+  quantization_default: false
+  quantization_full: true
+  recreate: true
+operators:
+  TensorFlow Lite:
+  - AVERAGE_POOL_2D
+  - CONV_2D
+  - DEPTHWISE_CONV_2D
+  - FULLY_CONNECTED
+  - RELU
+  - RESHAPE
+  - SOFTMAX
+paper: https://arxiv.org/abs/1711.07128

ds_cnn_l_quantized.tflite

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fc40799238db5112dbf53c7fa23f5d7c197de83b0ff9de7f40ce0d8073306756
+size 503816