FrozenGene commented on a change in pull request #4440: [TFLite] Add
transpose_conv to TFLite parser
URL: https://github.com/apache/incubator-tvm/pull/4440#discussion_r351849025
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -472,6 +472,55 @@ def test_forward_convolution():
_test_convolution([4, 17, 17, 12], [3, 3, 12, 2], [1, 1], [2, 2], 'VALID',
'NHWC', True)
+#######################################################################
+# Transpose Convolution
+# -----------
+
+def _test_transpose_conv(tensor_in_sizes, filter_in_sizes, output_shape,
strides, padding):
+ """ One iteration of transpose convolution with given shapes and
attributes """
+
+ total_size_1 = 1
+ total_size_2 = 1
+ for s in tensor_in_sizes:
+ total_size_1 *= s
+ for s in filter_in_sizes:
+ total_size_2 *= s
+ # Initializes the input tensor with array containing incrementing
+ # numbers from 1.
+ data_array = [f * 1.0 for f in range(1, total_size_1 + 1)]
+ filter_array = [f * 1.0 for f in range(1, total_size_2 + 1)]
+
+ with tf.Graph().as_default():
+ in_data = array_ops.placeholder(shape=tensor_in_sizes, dtype='float32')
+ in_filter = constant_op.constant(filter_array, shape=filter_in_sizes,
dtype='float32')
+ strides = [1] + strides + [1]
+ # in_filter layout is HWOI
+ out = nn_ops.conv2d_transpose(in_data,
+ in_filter,
+ output_shape=output_shape,
+ strides=strides,
+ padding=padding)
+ data_array = np.reshape(data_array, tensor_in_sizes).astype('float32')
+ compare_tflite_with_tvm(data_array, 'Placeholder:0', [in_data], [out])
+
+
+def test_forward_transpose_conv():
+ # kernel 3x3
+ _test_transpose_conv([4, 32, 32, 16], [3, 3, 5, 16], [4, 34, 34, 5], [1,
1], 'VALID')
+ _test_transpose_conv([1, 32, 32, 16], [3, 3, 5, 16], [1, 65, 65, 5], [2,
2], 'VALID')
+ _test_transpose_conv([1, 32, 32, 16], [3, 3, 5, 16], [1, 65, 34, 5], [2,
1], 'VALID')
+
+ # kernel 2x2
+ _test_transpose_conv([4, 32, 32, 16], [2, 2, 5, 16], [4, 33, 33, 5], [1,
1], 'VALID')
+ _test_transpose_conv([1, 32, 32, 16], [2, 2, 5, 16], [1, 64, 64, 5], [2,
2], 'VALID')
+ _test_transpose_conv([1, 32, 32, 16], [2, 2, 5, 16], [1, 64, 33, 5], [2,
1], 'VALID')
+
+ # kernel 1x1
+ _test_transpose_conv([4, 32, 32, 16], [1, 1, 5, 16], [4, 32, 32, 5], [1,
1], 'SAME')
+ _test_transpose_conv([1, 32, 32, 16], [1, 1, 5, 16], [1, 63, 63, 5], [2,
2], 'SAME')
+ _test_transpose_conv([1, 32, 32, 16], [1, 1, 5, 16], [1, 63, 32, 5], [2,
1], 'SAME')
+
Review comment:
Could supply 1x1 VALID padding test case
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