masahi commented on a change in pull request #4604: [FRONTEND][TF] Add conv3d
URL: https://github.com/apache/incubator-tvm/pull/4604#discussion_r362181043
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File path: tests/python/frontend/tensorflow/test_forward.py
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@@ -469,6 +472,57 @@ def test_forward_convolution():
'NHWC', [1, 8, 8, 1])
+#######################################################################
+# Convolution3D
+# -----------
+
+
+def _test_convolution3d(opname, tensor_in_sizes, filter_in_sizes,
+ dilations, strides, padding, data_format,
+ deconv_output_shape=[]):
+ """ One iteration of 3D convolution with given shapes and attributes """
+
+ total_size_1 = np.prod(tensor_in_sizes)
+ total_size_2 = np.prod(filter_in_sizes)
+ # 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')
+ if data_format == 'NDHWC':
+ strides = [1] + strides + [1]
+ dilations = [1] + dilations + [1]
+ else:
+ strides = [1, 1] + strides
+ dilations = [1, 1] + dilations
+
+ if opname == 'conv':
+ nn_ops.conv3d(in_data,
+ in_filter,
+ strides=strides,
+ dilations=dilations,
+ padding=padding,
+ data_format=data_format)
+
+ compare_tf_with_tvm(np.reshape(data_array,
tensor_in_sizes).astype('float32'),
+ 'Placeholder:0', 'Conv3D:0', assert_rtol=1e-2,
cuda_layout="NCDHW")
Review comment:
Why such low rtol?
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