Commit 38f0d386 authored by charlie's avatar charlie
Browse files

formatting

parent 2dff4dd2
......@@ -827,6 +827,7 @@ def conv_bn_relu_maxpool_test():
return ([node0, node1, node2, node3], [x, y, z, m, n, k, l], [out])
@onnx_test
def conv_dynamic_batch_test():
x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [None, 3, 5, 5])
......@@ -840,7 +841,8 @@ def conv_dynamic_batch_test():
@onnx_test
def conv_dynamic_img_test():
x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [1, 3, None, None])
x = helper.make_tensor_value_info('0', TensorProto.FLOAT,
[1, 3, None, None])
y = helper.make_tensor_value_info('1', TensorProto.FLOAT, [1, 3, 3, 3])
out = helper.make_tensor_value_info('2', TensorProto.FLOAT,
[1, 1, None, None])
......
......@@ -777,7 +777,8 @@ TEST_CASE(conv_dynamic_batch_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto l0 = mm->add_parameter("0", {migraphx::shape::float_type, {{1, 6, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}});
auto l0 = mm->add_parameter(
"0", {migraphx::shape::float_type, {{1, 6, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}});
auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
auto c0 = mm->add_instruction(
migraphx::make_op("convolution",
......@@ -797,7 +798,8 @@ TEST_CASE(conv_dynamic_img_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto l0 = mm->add_parameter("0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
auto l0 = mm->add_parameter(
"0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
auto c0 = mm->add_instruction(
migraphx::make_op("convolution",
......
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