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author | Jeremy Johnson <jeremy.johnson@arm.com> | 2023-02-09 12:20:04 +0000 |
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committer | Jeremy Johnson <jeremy.johnson@arm.com> | 2023-02-14 15:34:06 +0000 |
commit | aa8a8864236868cd717d6e95fc2c2302c2704176 (patch) | |
tree | acc453747793c1b7db4ff8b832254ef3ba1d29f7 /frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json | |
parent | 81e1634bb20b64da3647bd4c7e60e7f10f422272 (diff) | |
download | conformance_tests-aa8a8864236868cd717d6e95fc2c2302c2704176.tar.gz |
Regenerate TFLite tests
* CONV_2D - for accum dtype and clamp zero padding change
* DEPTHWISE_CONV2D - for accum dtype and TF version changes
* FULLY_CONNECTED - for accum dtype changes
* LEAKY_RELU, RESIZE, RESHAPE, STRIDED_SLICE - for TF version
changes
* SPLIT - for test generator changes, new tests chosen
Signed-off-by: Jeremy Johnson <jeremy.johnson@arm.com>
Change-Id: If9d0c28876e036cb91df473e4d5d8196375e1ab6
Diffstat (limited to 'frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json')
-rw-r--r-- | frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json | 107 |
1 files changed, 20 insertions, 87 deletions
diff --git a/frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json b/frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json index ea66ae896..3e23f4df1 100644 --- a/frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json +++ b/frameworks/tflite/operators/depthwise_conv_2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22/test_depthwise_conv2d_bias_3x3_1x32x32x8_qu8_st11_padVALID_dilat22.json @@ -33,16 +33,6 @@ ] }, { - op: "CONST", - attribute_type: "NONE", - inputs: [ - - ], - outputs: [ - "layer_2" - ] - }, - { op: "RESCALE", attribute_type: "RescaleAttribute", attribute: { @@ -62,7 +52,7 @@ "TosaInput_0" ], outputs: [ - "layer_3" + "layer_2" ] }, { @@ -82,28 +72,10 @@ per_channel: false }, inputs: [ - "layer_3" - ], - outputs: [ - "layer_4" - ] - }, - { - op: "TRANSPOSE", - attribute_type: "TransposeAttribute", - attribute: { - perms: [ - 1, - 2, - 3, - 0 - ] - }, - inputs: [ "layer_2" ], outputs: [ - "layer_5" + "layer_3" ] }, { @@ -118,10 +90,10 @@ ] }, inputs: [ - "layer_5" + "layer_1" ], outputs: [ - "layer_6" + "layer_4" ] }, { @@ -143,16 +115,15 @@ 2 ], input_zp: -1, - weight_zp: 0, - accum_dtype: "INT32" + weight_zp: 0 }, inputs: [ + "layer_3", "layer_4", - "layer_6", - "layer_1" + "layer_0" ], outputs: [ - "layer_7" + "layer_5" ] }, { @@ -202,10 +173,10 @@ per_channel: true }, inputs: [ - "layer_7" + "layer_5" ], outputs: [ - "layer_8" + "layer_6" ] }, { @@ -225,10 +196,10 @@ per_channel: false }, inputs: [ - "layer_8" + "layer_6" ], outputs: [ - "layer_9" + "layer_7" ] }, { @@ -248,7 +219,7 @@ per_channel: false }, inputs: [ - "layer_9" + "layer_7" ], outputs: [ "TosaOutput_0" @@ -285,31 +256,6 @@ { name: "layer_0", shape: [ - 4 - ], - type: "INT32", - data: [ - 1, - 0, - 0, - 0, - 2, - 0, - 0, - 0, - 3, - 0, - 0, - 0, - 0, - 0, - 0, - 0 - ] - }, - { - name: "layer_1", - shape: [ 16 ], type: "INT32", @@ -381,7 +327,7 @@ ] }, { - name: "layer_2", + name: "layer_1", shape: [ 1, 3, @@ -537,7 +483,7 @@ ] }, { - name: "layer_3", + name: "layer_2", shape: [ 1, 32, @@ -550,7 +496,7 @@ ] }, { - name: "layer_4", + name: "layer_3", shape: [ 1, 32, @@ -563,20 +509,7 @@ ] }, { - name: "layer_5", - shape: [ - 3, - 3, - 16, - 1 - ], - type: "INT8", - data: [ - - ] - }, - { - name: "layer_6", + name: "layer_4", shape: [ 3, 3, @@ -589,7 +522,7 @@ ] }, { - name: "layer_7", + name: "layer_5", shape: [ 1, 28, @@ -602,7 +535,7 @@ ] }, { - name: "layer_8", + name: "layer_6", shape: [ 1, 28, @@ -615,7 +548,7 @@ ] }, { - name: "layer_9", + name: "layer_7", shape: [ 1, 28, |