Commit ee157fc2 authored by Shucai Xiao's avatar Shucai Xiao
Browse files

clang format

parent 870f565e
...@@ -171,7 +171,7 @@ struct miopen_apply ...@@ -171,7 +171,7 @@ struct miopen_apply
// add a temp float output to store the miopen convolution output // add a temp float output to store the miopen convolution output
shape tmp_output_shape{shape::float_type, ins->get_shape().lens()}; shape tmp_output_shape{shape::float_type, ins->get_shape().lens()};
auto tmp_output = insert_allocation(ins, tmp_output_shape, "tmp_out"); auto tmp_output = insert_allocation(ins, tmp_output_shape, "tmp_out");
auto output = insert_allocation(ins, ins->get_shape()); auto output = insert_allocation(ins, ins->get_shape());
return prog->replace_instruction( return prog->replace_instruction(
ins, conv, ins->inputs().at(0), ins->inputs().at(1), workspace, tmp_output, output); ins, conv, ins->inputs().at(0), ins->inputs().at(1), workspace, tmp_output, output);
......
...@@ -21,7 +21,7 @@ argument miopen_quant_convolution::compute(context& ctx, ...@@ -21,7 +21,7 @@ argument miopen_quant_convolution::compute(context& ctx,
auto w_desc = make_tensor(args[1].get_shape()); auto w_desc = make_tensor(args[1].get_shape());
auto w_desc_vec4 = make_tensor(args[1].get_shape(), true); auto w_desc_vec4 = make_tensor(args[1].get_shape(), true);
shape tmp_output_shape{shape::float_type, output_shape.lens()}; shape tmp_output_shape{shape::float_type, output_shape.lens()};
auto y_desc = make_tensor(tmp_output_shape); auto y_desc = make_tensor(tmp_output_shape);
float alpha = 1; float alpha = 1;
float beta = 0; float beta = 0;
...@@ -72,7 +72,7 @@ argument miopen_quant_convolution::compute(context& ctx, ...@@ -72,7 +72,7 @@ argument miopen_quant_convolution::compute(context& ctx,
// Add a conversion from float to int32_t // Add a conversion from float to int32_t
device::convert(ctx.get_stream().get(), args[4], args[3]); device::convert(ctx.get_stream().get(), args[4], args[3]);
return args[4]; return args[4];
} }
......
...@@ -1318,21 +1318,21 @@ TEST_CASE(quant_conv2d_test) ...@@ -1318,21 +1318,21 @@ TEST_CASE(quant_conv2d_test)
auto result = p.eval({}); auto result = p.eval({});
std::vector<int32_t> s = {10197, std::vector<int32_t> s = {10197,
10548, 10548,
11601, 11601,
11952, 11952,
25506, 25506,
26586, 26586,
29826, 29826,
30906, 30906,
27045, 27045,
27396, 27396,
28449, 28449,
28800, 28800,
77346, 77346,
78426, 78426,
81666, 81666,
82746}; 82746};
std::vector<int32_t> results_vector; std::vector<int32_t> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); }); result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
...@@ -1388,21 +1388,21 @@ TEST_CASE(quant_conv2d_test_valid_mode) ...@@ -1388,21 +1388,21 @@ TEST_CASE(quant_conv2d_test_valid_mode)
auto result = p.eval({}); auto result = p.eval({});
std::vector<int32_t> s = {10197, std::vector<int32_t> s = {10197,
10548, 10548,
11601, 11601,
11952, 11952,
25506, 25506,
26586, 26586,
29826, 29826,
30906, 30906,
27045, 27045,
27396, 27396,
28449, 28449,
28800, 28800,
77346, 77346,
78426, 78426,
81666, 81666,
82746}; 82746};
std::vector<int32_t> results_vector; std::vector<int32_t> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); }); result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
...@@ -1422,7 +1422,7 @@ TEST_CASE(quant_conv2d_padding_test) ...@@ -1422,7 +1422,7 @@ TEST_CASE(quant_conv2d_padding_test)
auto cl = p.add_literal(migraphx::literal{c_shape, c}); auto cl = p.add_literal(migraphx::literal{c_shape, c});
p.add_instruction(migraphx::op::quant_convolution{{{1, 1}}, {{1, 1}}}, al, cl); p.add_instruction(migraphx::op::quant_convolution{{{1, 1}}, {{1, 1}}}, al, cl);
p.compile(migraphx::cpu::target{}); p.compile(migraphx::cpu::target{});
auto result = p.eval({}); auto result = p.eval({});
std::vector<int32_t> s = { std::vector<int32_t> s = {
4521, 6753, 7014, 4635, 6858, 10197, 10548, 6939, 7830, 11601, 11952, 7839, 5007, 4521, 6753, 7014, 4635, 6858, 10197, 10548, 6939, 7830, 11601, 11952, 7839, 5007,
7383, 7590, 4953, 10515, 15987, 16734, 11277, 16821, 25506, 26586, 17874, 19737, 29826, 7383, 7590, 4953, 10515, 15987, 16734, 11277, 16821, 25506, 26586, 17874, 19737, 29826,
...@@ -1451,21 +1451,21 @@ TEST_CASE(quant_conv2d_padding_stride_test) ...@@ -1451,21 +1451,21 @@ TEST_CASE(quant_conv2d_padding_stride_test)
auto result = p.eval({}); auto result = p.eval({});
std::vector<int32_t> s = {4521, std::vector<int32_t> s = {4521,
7014, 7014,
7830, 7830,
11952, 11952,
10515, 10515,
16734, 16734,
19737, 19737,
30906, 30906,
13161, 13161,
19542, 19542,
19494, 19494,
28800, 28800,
34707, 34707,
52590, 52590,
54729, 54729,
82746}; 82746};
std::vector<int32_t> results_vector; std::vector<int32_t> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); }); result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify_range(results_vector, s)); EXPECT(migraphx::verify_range(results_vector, s));
......
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