Commit 687c6d17 authored by Artur Wojcik's avatar Artur Wojcik
Browse files

Merge branch 'develop' into uif2-initial

parents 6fd76845 d3e5a5c0
...@@ -1819,6 +1819,35 @@ TEST_CASE(qlinearglobalavgpool_test) ...@@ -1819,6 +1819,35 @@ TEST_CASE(qlinearglobalavgpool_test)
EXPECT(migraphx::verify::verify_rms_range(result_vector, gold)); EXPECT(migraphx::verify::verify_rms_range(result_vector, gold));
} }
TEST_CASE(qlinearleakyrelu_test)
{
// github.com/microsoft/onnxruntime/blob/main/docs/ContribOperators.md#com.microsoft.QLinearSigmoid
migraphx::program p = migraphx::parse_onnx("qlinearleakyrelu_test.onnx");
p.compile(migraphx::make_target("ref"));
migraphx::shape x{migraphx::shape::int8_type, {64}};
std::vector<int8_t> data_x = {
-128, -124, -120, -116, -112, -108, -104, -100, -96, -92, -88, -84, -80, -76, -72, -68,
-64, -60, -56, -52, -48, -44, -40, -36, -32, -28, -24, -20, -16, -12, -8, -4,
0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60,
64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124};
migraphx::parameter_map pp;
pp["X"] = migraphx::argument(x, data_x.data());
auto result = p.eval(pp).back();
std::vector<int8_t> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<int8_t> gold = {
-128, -126, -122, -118, -113, -109, -104, -100, -96, -91, -87, -82, -78, -74, -69, -65,
-60, -56, -52, -47, -43, -38, -34, -30, -25, -21, -16, -12, -8, -3, 1, 6,
10, 14, 18, 22, 26, 30, 34, 38, 42, 46, 50, 54, 58, 62, 66, 70,
74, 78, 82, 86, 90, 94, 98, 102, 106, 110, 114, 118, 122, 126, 127, 127};
EXPECT(migraphx::verify::verify_rms_range(result_vector, gold));
}
TEST_CASE(qlinearmatmul_1D_test) TEST_CASE(qlinearmatmul_1D_test)
{ {
migraphx::program p = migraphx::parse_onnx("qlinearmatmul_1D_test.onnx"); migraphx::program p = migraphx::parse_onnx("qlinearmatmul_1D_test.onnx");
...@@ -1970,6 +1999,36 @@ TEST_CASE(qlinearmul_bcast_test) ...@@ -1970,6 +1999,36 @@ TEST_CASE(qlinearmul_bcast_test)
EXPECT(migraphx::verify::verify_rms_range(result_vector, gold)); EXPECT(migraphx::verify::verify_rms_range(result_vector, gold));
} }
TEST_CASE(qlinearsigmoid_test)
{
// github.com/microsoft/onnxruntime/blob/main/docs/ContribOperators.md#com.microsoft.QLinearSigmoid
migraphx::program p = migraphx::parse_onnx("qlinearsigmoid_test.onnx");
p.compile(migraphx::make_target("ref"));
migraphx::shape x{migraphx::shape::int8_type, {64}};
std::vector<int8_t> data_x = {
-128, -124, -120, -116, -112, -108, -104, -100, -96, -92, -88, -84, -80, -76, -72, -68,
-64, -60, -56, -52, -48, -44, -40, -36, -32, -28, -24, -20, -16, -12, -8, -4,
0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60,
64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116, 120, 124};
migraphx::parameter_map pp;
pp["X"] = migraphx::argument(x, data_x.data());
auto result = p.eval(pp).back();
std::vector<int8_t> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<int8_t> gold = {-128, -127, -127, -127, -127, -127, -126, -126, -126, -125, -125,
-124, -123, -122, -120, -119, -117, -114, -112, -108, -104, -99,
-94, -87, -80, -71, -62, -51, -39, -27, -13, 1, 15,
29, 43, 56, 69, 81, 92, 101, 110, 117, 124, 127,
127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127,
127, 127, 127, 127, 127, 127, 127, 127, 127};
EXPECT(migraphx::verify::verify_rms_range(result_vector, gold));
}
TEST_CASE(resize_downsample_f_test) TEST_CASE(resize_downsample_f_test)
{ {
migraphx::program p = migraphx::parse_onnx("resize_downsample_f_test.onnx"); migraphx::program p = migraphx::parse_onnx("resize_downsample_f_test.onnx");
......
...@@ -2202,7 +2202,8 @@ TEST_CASE(pooling_shape0) ...@@ -2202,7 +2202,8 @@ TEST_CASE(pooling_shape0)
{{"mode", migraphx::op::pooling_mode::max}, {{"mode", migraphx::op::pooling_mode::max},
{"padding", {1}}, {"padding", {1}},
{"stride", {0}}, {"stride", {0}},
{"lengths", {1}}}), {"lengths", {1}},
{"dilations", {1}}}),
input); input);
} }
...@@ -2215,7 +2216,8 @@ TEST_CASE(pooling_shape1) ...@@ -2215,7 +2216,8 @@ TEST_CASE(pooling_shape1)
{{"mode", migraphx::op::pooling_mode::max}, {{"mode", migraphx::op::pooling_mode::max},
{"padding", {0, 0}}, {"padding", {0, 0}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {1, 1}}}), {"lengths", {1, 1}},
{"dilations", {1, 1}}}),
input); input);
} }
...@@ -2229,6 +2231,7 @@ TEST_CASE(pooling_shape2) ...@@ -2229,6 +2231,7 @@ TEST_CASE(pooling_shape2)
{"padding", {0, 0}}, {"padding", {0, 0}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {1, 1}}, {"lengths", {1, 1}},
{"dilations", {1, 1}},
{"ceil_mode", true}}), {"ceil_mode", true}}),
input); input);
} }
...@@ -2243,6 +2246,7 @@ TEST_CASE(pooling_shape3) ...@@ -2243,6 +2246,7 @@ TEST_CASE(pooling_shape3)
{"padding", {2, 2}}, {"padding", {2, 2}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {3, 3}}, {"lengths", {3, 3}},
{"dilations", {1, 1}},
{"ceil_mode", true}}), {"ceil_mode", true}}),
input); input);
} }
...@@ -2254,6 +2258,63 @@ TEST_CASE(pooling_shape4) ...@@ -2254,6 +2258,63 @@ TEST_CASE(pooling_shape4)
tiny_input); tiny_input);
} }
TEST_CASE(pooling_shape5)
{
migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
migraphx::shape output{migraphx::shape::float_type, {4, 3, 1, 1}};
expect_shape(output,
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::max},
{"padding", {0, 0}},
{"stride", {1, 1}},
{"lengths", {2, 2}},
{"dilations", {2, 2}}}),
input);
}
TEST_CASE(pooling_shape6)
{
migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
migraphx::shape output{migraphx::shape::float_type, {4, 3, 2, 2}};
expect_shape(output,
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::max},
{"padding", {0, 0}},
{"stride", {2, 2}},
{"lengths", {1, 1}},
{"dilations", {2, 2}}}),
input);
}
TEST_CASE(pooling_shape7)
{
migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
migraphx::shape output{migraphx::shape::float_type, {4, 3, 2, 2}};
expect_shape(output,
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::max},
{"padding", {0, 0}},
{"stride", {3, 3}},
{"lengths", {1, 1}},
{"dilations", {3, 3}},
{"ceil_mode", true}}),
input);
}
TEST_CASE(pooling_shape8)
{
migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
migraphx::shape output{migraphx::shape::float_type, {4, 3, 3, 3}};
expect_shape(output,
migraphx::make_op("pooling",
{{"mode", migraphx::op::pooling_mode::max},
{"padding", {2, 2}},
{"stride", {1, 1}},
{"lengths", {3, 3}},
{"dilations", {2, 2}}}),
input);
}
TEST_CASE(pooling_dyn_shape0) TEST_CASE(pooling_dyn_shape0)
{ {
migraphx::shape input{migraphx::shape::float_type, {{1, 4}, {3, 3, {3}}, {3, 3, {3}}, {3, 3}}}; migraphx::shape input{migraphx::shape::float_type, {{1, 4}, {3, 3, {3}}, {3, 3, {3}}, {3, 3}}};
...@@ -2261,7 +2322,8 @@ TEST_CASE(pooling_dyn_shape0) ...@@ -2261,7 +2322,8 @@ TEST_CASE(pooling_dyn_shape0)
{{"mode", migraphx::op::pooling_mode::max}, {{"mode", migraphx::op::pooling_mode::max},
{"padding", {1}}, {"padding", {1}},
{"stride", {0}}, {"stride", {0}},
{"lengths", {1}}}), {"lengths", {1}},
{"dilations", {1}}}),
input); input);
} }
...@@ -2274,7 +2336,8 @@ TEST_CASE(pooling_dyn_shape1) ...@@ -2274,7 +2336,8 @@ TEST_CASE(pooling_dyn_shape1)
{{"mode", migraphx::op::pooling_mode::max}, {{"mode", migraphx::op::pooling_mode::max},
{"padding", {0, 0}}, {"padding", {0, 0}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {1, 1}}}), {"lengths", {1, 1}},
{"dilations", {1, 1}}}),
input); input);
} }
...@@ -2288,6 +2351,7 @@ TEST_CASE(pooling_dyn_shape2) ...@@ -2288,6 +2351,7 @@ TEST_CASE(pooling_dyn_shape2)
{"padding", {0, 0}}, {"padding", {0, 0}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {1, 1}}, {"lengths", {1, 1}},
{"dilations", {1, 1}},
{"ceil_mode", true}}), {"ceil_mode", true}}),
input); input);
} }
...@@ -2302,7 +2366,8 @@ TEST_CASE(pooling_dyn_shape3) ...@@ -2302,7 +2366,8 @@ TEST_CASE(pooling_dyn_shape3)
{{"mode", migraphx::op::pooling_mode::max}, {{"mode", migraphx::op::pooling_mode::max},
{"padding", {0, 0}}, {"padding", {0, 0}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {1, 1}}}), {"lengths", {1, 1}},
{"dilations", {1, 1}}}),
input); input);
} }
...@@ -2317,6 +2382,7 @@ TEST_CASE(pooling_dyn_shape4) ...@@ -2317,6 +2382,7 @@ TEST_CASE(pooling_dyn_shape4)
{"padding", {2, 2}}, {"padding", {2, 2}},
{"stride", {3, 3}}, {"stride", {3, 3}},
{"lengths", {3, 3}}, {"lengths", {3, 3}},
{"dilations", {1, 1}},
{"ceil_mode", true}}), {"ceil_mode", true}}),
input); input);
} }
......
...@@ -190,7 +190,6 @@ def disabled_tests_onnx_1_7_0(backend_test): ...@@ -190,7 +190,6 @@ def disabled_tests_onnx_1_7_0(backend_test):
backend_test.exclude( backend_test.exclude(
r'test_negative_log_likelihood_loss_input_shape_is_NCd1d2d3d4d5_none_no_weight_cpu' r'test_negative_log_likelihood_loss_input_shape_is_NCd1d2d3d4d5_none_no_weight_cpu'
) )
backend_test.exclude(r'test_qlinearconv_cpu')
backend_test.exclude(r'test_qlinearmatmul_2D_cpu') backend_test.exclude(r'test_qlinearmatmul_2D_cpu')
backend_test.exclude(r'test_qlinearmatmul_3D_cpu') backend_test.exclude(r'test_qlinearmatmul_3D_cpu')
backend_test.exclude(r'test_range_float_type_positive_delta_expanded_cpu') backend_test.exclude(r'test_range_float_type_positive_delta_expanded_cpu')
...@@ -576,6 +575,8 @@ def disabled_tests_onnx_1_9_0(backend_test): ...@@ -576,6 +575,8 @@ def disabled_tests_onnx_1_9_0(backend_test):
backend_test.exclude(r'test_gru_batchwise_cpu') backend_test.exclude(r'test_gru_batchwise_cpu')
backend_test.exclude(r'test_simple_rnn_batchwise_cpu') backend_test.exclude(r'test_simple_rnn_batchwise_cpu')
# from OnnxBackendPyTorchConvertedModelTest # from OnnxBackendPyTorchConvertedModelTest
# MaxPool dialtion is partially supported on GPU by a workaround
# But these tests require too large allocations to work properly
backend_test.exclude(r'test_MaxPool1d_stride_padding_dilation_cpu') backend_test.exclude(r'test_MaxPool1d_stride_padding_dilation_cpu')
backend_test.exclude(r'test_MaxPool2d_stride_padding_dilation_cpu') backend_test.exclude(r'test_MaxPool2d_stride_padding_dilation_cpu')
......
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...@@ -155,29 +155,187 @@ TEST_CASE(after_split_dyn_broadcast_match) ...@@ -155,29 +155,187 @@ TEST_CASE(after_split_dyn_broadcast_match)
EXPECT(p0 == p1); EXPECT(p0 == p1);
} }
TEST_CASE(const_slice_3input) TEST_CASE(const_slice_2input_ends_axes)
{ {
migraphx::module m0; migraphx::module m0;
{ {
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}}; migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s); auto input = m0.add_parameter("data", s);
auto slice_ins = m0.add_instruction( migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"ends", {3}}, {"axes", {0}}}), input, input_starts);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input); migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_2input_starts_axes)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_ends = m0.add_literal(migraphx::literal{s1, {3}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"axes", {0}}}), input, input_ends);
m0.add_return({slice_ins}); m0.add_return({slice_ins});
} }
run_pass(m0);
migraphx::module m1; migraphx::module m1;
{ {
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}}; migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s); auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_2input_starts_ends)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}}; migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m1.add_literal(migraphx::literal{s1, {0}}); auto input_axes = m0.add_literal(migraphx::literal{s1, {0}});
auto input_ends = m1.add_literal(migraphx::literal{s1, {3}}); auto slice_ins = m0.add_instruction(
auto slice_ins = m1.add_instruction( migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}}), input, input_axes);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_3input_axes_only)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto input_ends = m0.add_literal(migraphx::literal{s1, {3}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"axes", {0}}}), input, input_starts, input_ends); migraphx::make_op("slice", {{"axes", {0}}}), input, input_starts, input_ends);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_3input_ends_only)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto input_axes = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"ends", {3}}}), input, input_starts, input_axes);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_3inputs_starts_only)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_ends = m0.add_literal(migraphx::literal{s1, {3}});
auto input_axes = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}}), input, input_ends, input_axes);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {6, 4, 4}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_slice_2input_ends_axes_dyn)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {{6, 6}, {2, 4, {2, 4}}, {2, 4, {2, 4}}}};
auto input = m0.add_parameter("data", s);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto input_starts = m0.add_literal(migraphx::literal{s1, {0}});
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"ends", {3}}, {"axes", {0}}}), input, input_starts);
m0.add_return({slice_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {{6, 6}, {2, 4, {2, 4}}, {2, 4, {2, 4}}}};
auto input = m1.add_parameter("data", s);
auto slice_ins = m1.add_instruction(
migraphx::make_op("slice", {{"starts", {0}}, {"ends", {3}}, {"axes", {0}}}), input);
m1.add_return({slice_ins}); m1.add_return({slice_ins});
} }
run_pass(m1);
EXPECT(m0 == m1); EXPECT(m0 == m1);
} }
...@@ -319,4 +477,98 @@ TEST_CASE(static_dimensions_of_nonfixed) ...@@ -319,4 +477,98 @@ TEST_CASE(static_dimensions_of_nonfixed)
EXPECT(m0 == m1); EXPECT(m0 == m1);
} }
TEST_CASE(constant_alloc_reshape)
{
migraphx::module m0;
{
migraphx::shape s{migraphx::shape::float_type, {3, 32}};
auto input = m0.add_parameter("data", s);
migraphx::shape lit_s{migraphx::shape::int64_type, {3}};
auto literal_ins = m0.add_literal(migraphx::literal{lit_s, {3, 4, 8}});
auto alloc_ins = m0.add_instruction(
migraphx::make_op("allocate", {{"buf_type", migraphx::shape::float_type}}),
literal_ins);
auto reshape_ins = m0.add_instruction(migraphx::make_op("reshape"), input, alloc_ins);
m0.add_return({reshape_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {3, 32}};
auto input = m1.add_parameter("data", s);
auto reshape_ins =
m1.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 4, 8}}}), input);
m1.add_return({reshape_ins});
}
EXPECT(m0 == m1);
}
// A more contrived example to test static dimensions_of and constant reshape
TEST_CASE(static_dimensions_of_to_constant_alloc_reshape)
{
migraphx::module m0;
{
migraphx::shape input_shape{migraphx::shape::float_type, {3, 4, 8}};
auto x_param = m0.add_parameter("x", input_shape);
auto dimensions_of_ins =
m0.add_instruction(migraphx::make_op("dimensions_of", {{"end", 3}}), x_param);
migraphx::shape lit_shape{migraphx::shape::int64_type, {1}};
auto lit0 = m0.add_literal(migraphx::literal{lit_shape, {0}});
auto gather_ins =
m0.add_instruction(migraphx::make_op("gather", {{"axis", 0}}), dimensions_of_ins, lit0);
auto slice_ins = m0.add_instruction(
migraphx::make_op("slice", {{"starts", {1}}, {"ends", {3}}, {"axes", {0}}}),
dimensions_of_ins);
auto reduce_ins =
m0.add_instruction(migraphx::make_op("reduce_prod", {{"axes", {0}}}), slice_ins);
auto concat_ins =
m0.add_instruction(migraphx::make_op("concat", {{"axis", 0}}), gather_ins, reduce_ins);
auto alloc_ins = m0.add_instruction(
migraphx::make_op("allocate", {{"buf_type", migraphx::shape::float_type}}), concat_ins);
auto reshape_ins = m0.add_instruction(migraphx::make_op("reshape"), x_param, alloc_ins);
m0.add_return({reshape_ins});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape s{migraphx::shape::float_type, {3, 4, 8}};
auto x_param = m1.add_parameter("x", s);
auto reshape_ins =
m1.add_instruction(migraphx::make_op("reshape", {{"dims", {3, 32}}}), x_param);
m1.add_return({reshape_ins});
}
EXPECT(m0 == m1);
}
TEST_CASE(const_alloc_fill)
{
migraphx::module m0;
{
migraphx::shape val_shape{migraphx::shape::int64_type, {1}, {0}};
std::vector<int64_t> lit_data = {3};
auto value_lit = m0.add_literal(migraphx::literal{val_shape, lit_data});
migraphx::shape lit_s{migraphx::shape::int64_type, {3}};
auto output_dim_lit = m0.add_literal(migraphx::literal{lit_s, {3, 4, 4}});
auto alloc_ins = m0.add_instruction(
migraphx::make_op("allocate", {{"buf_type", migraphx::shape::int64_type}}),
output_dim_lit);
auto ret = m0.add_instruction(migraphx::make_op("fill"), value_lit, alloc_ins);
m0.add_return({ret});
}
run_pass(m0);
migraphx::module m1;
{
migraphx::shape lit_shape{migraphx::shape::int64_type, {3, 4, 4}};
std::vector<int64_t> lit_data(3 * 4 * 4, 3);
auto ret = m1.add_literal(migraphx::literal{lit_shape, lit_data});
m1.add_return({ret});
}
EXPECT(m0 == m1);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); } int main(int argc, const char* argv[]) { test::run(argc, argv); }
...@@ -788,6 +788,7 @@ TEST_CASE(conv_pooling_dot) ...@@ -788,6 +788,7 @@ TEST_CASE(conv_pooling_dot)
{"padding", {0, 0, 0, 0}}, {"padding", {0, 0, 0, 0}},
{"stride", {1, 1}}, {"stride", {1, 1}},
{"lengths", {7, 7}}, {"lengths", {7, 7}},
{"dilations", {1, 1}},
{"ceil_mode", 0}}), {"ceil_mode", 0}}),
a1); a1);
auto fl = m1.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap); auto fl = m1.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
...@@ -835,6 +836,7 @@ TEST_CASE(conv_pooling_dot) ...@@ -835,6 +836,7 @@ TEST_CASE(conv_pooling_dot)
{"padding", {0, 0, 0, 0}}, {"padding", {0, 0, 0, 0}},
{"stride", {1, 1}}, {"stride", {1, 1}},
{"lengths", {7, 7}}, {"lengths", {7, 7}},
{"dilations", {1, 1}},
{"ceil_mode", 0}}), {"ceil_mode", 0}}),
a1); a1);
auto fl = m2.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap); auto fl = m2.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
...@@ -896,6 +898,7 @@ TEST_CASE(mobilenet_snippet) ...@@ -896,6 +898,7 @@ TEST_CASE(mobilenet_snippet)
{"padding", {0, 0, 0, 0}}, {"padding", {0, 0, 0, 0}},
{"stride", {1, 1}}, {"stride", {1, 1}},
{"lengths", {7, 7}}, {"lengths", {7, 7}},
{"dilations", {1, 1}},
{"ceil_mode", 0}}), {"ceil_mode", 0}}),
d6); d6);
auto q3 = add_quantize_op(mm, "quantizelinear", ap, scale, zero); auto q3 = add_quantize_op(mm, "quantizelinear", ap, scale, zero);
......
...@@ -35,7 +35,7 @@ struct test_avg_pooling_1d : verify_program<test_avg_pooling_1d> ...@@ -35,7 +35,7 @@ struct test_avg_pooling_1d : verify_program<test_avg_pooling_1d>
auto* mm = p.get_main_module(); auto* mm = p.get_main_module();
auto input = auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5}}); mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5}});
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {0}, {1}, {3}}; auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {0}, {1}, {3}, {1}};
mm->add_instruction(op, input); mm->add_instruction(op, input);
return p; return p;
} }
......
...@@ -36,7 +36,7 @@ struct test_avg_pooling_3d : verify_program<test_avg_pooling_3d> ...@@ -36,7 +36,7 @@ struct test_avg_pooling_3d : verify_program<test_avg_pooling_3d>
auto input = auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}}); mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}});
auto op = migraphx::op::pooling{ auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}}; migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, {1, 1, 1}};
mm->add_instruction(op, input); mm->add_instruction(op, input);
return p; return p;
} }
......
...@@ -36,7 +36,7 @@ struct test_avg_pooling_3d_opt : verify_program<test_avg_pooling_3d_opt> ...@@ -36,7 +36,7 @@ struct test_avg_pooling_3d_opt : verify_program<test_avg_pooling_3d_opt>
auto input = auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 2, 3, 3, 3}}); mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 2, 3, 3, 3}});
auto op = migraphx::op::pooling{ auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::average, {0, 0, 0}, {1, 1, 1}, {3, 3, 3}}; migraphx::op::pooling_mode::average, {0, 0, 0}, {1, 1, 1}, {3, 3, 3}, {1, 1, 1}};
mm->add_instruction(op, input); mm->add_instruction(op, input);
return p; return p;
} }
......
...@@ -37,7 +37,7 @@ struct test_avg_pooling_ceil_3d : verify_program<test_avg_pooling_ceil_3d> ...@@ -37,7 +37,7 @@ struct test_avg_pooling_ceil_3d : verify_program<test_avg_pooling_ceil_3d>
auto input = auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}}); mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}});
auto op = migraphx::op::pooling{ auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, true}; migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, {1, 1, 1}, true};
mm->add_instruction(op, input); mm->add_instruction(op, input);
return p; return p;
} }
......
...@@ -36,7 +36,7 @@ struct test_avg_pooling_pad : verify_program<test_avg_pooling_pad> ...@@ -36,7 +36,7 @@ struct test_avg_pooling_pad : verify_program<test_avg_pooling_pad>
auto* mm = p.get_main_module(); auto* mm = p.get_main_module();
auto input = auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 7}}); mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 7}});
auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {2}, {1}, {3}}; auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {2}, {1}, {3}, {1}};
mm->add_instruction(op, input); mm->add_instruction(op, input);
return p; return p;
} }
......
...@@ -47,7 +47,8 @@ struct test_concat_pooling : verify_program<test_concat_pooling> ...@@ -47,7 +47,8 @@ struct test_concat_pooling : verify_program<test_concat_pooling>
{{"mode", migraphx::op::pooling_mode::average}, {{"mode", migraphx::op::pooling_mode::average},
{"padding", {0, 0}}, {"padding", {0, 0}},
{"stride", {1, 1}}, {"stride", {1, 1}},
{"lengths", {8, 8}}}), {"lengths", {8, 8}},
{"dilations", {1, 1}}}),
concat_t); concat_t);
mm->add_instruction(migraphx::make_op("relu"), pooling); mm->add_instruction(migraphx::make_op("relu"), pooling);
return p; return p;
......
...@@ -76,7 +76,8 @@ struct test_conv_bn_relu_pooling : verify_program<test_conv_bn_relu_pooling> ...@@ -76,7 +76,8 @@ struct test_conv_bn_relu_pooling : verify_program<test_conv_bn_relu_pooling>
{{"mode", migraphx::op::pooling_mode::average}, {{"mode", migraphx::op::pooling_mode::average},
{"padding", {1, 1}}, {"padding", {1, 1}},
{"stride", {2, 2}}, {"stride", {2, 2}},
{"lengths", {3, 3}}}), {"lengths", {3, 3}},
{"dilations", {1, 1}}}),
relu); relu);
return p; return p;
} }
......
...@@ -92,7 +92,8 @@ struct test_conv_bn_relu_pooling2 : verify_program<test_conv_bn_relu_pooling2> ...@@ -92,7 +92,8 @@ struct test_conv_bn_relu_pooling2 : verify_program<test_conv_bn_relu_pooling2>
{{"mode", migraphx::op::pooling_mode::average}, {{"mode", migraphx::op::pooling_mode::average},
{"padding", {1, 1}}, {"padding", {1, 1}},
{"stride", {2, 2}}, {"stride", {2, 2}},
{"lengths", {3, 3}}}), {"lengths", {3, 3}},
{"dilations", {1, 1}}}),
relu); relu);
return p; return p;
} }
......
...@@ -36,7 +36,7 @@ struct test_max_pooling_ceil_3d : verify_program<test_max_pooling_ceil_3d> ...@@ -36,7 +36,7 @@ struct test_max_pooling_ceil_3d : verify_program<test_max_pooling_ceil_3d>
auto input = auto input =
mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}}); mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}});
auto op = migraphx::op::pooling{ auto op = migraphx::op::pooling{
migraphx::op::pooling_mode::max, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, true}; migraphx::op::pooling_mode::max, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}, {1, 1, 1}, true};
mm->add_instruction(op, input); mm->add_instruction(op, input);
return p; return p;
} }
......
...@@ -22,4 +22,4 @@ ...@@ -22,4 +22,4 @@
# THE SOFTWARE. # THE SOFTWARE.
##################################################################################### #####################################################################################
numpy==1.21.6 numpy==1.21.6
onnxruntime==1.16.2 onnxruntime==1.16.3
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