| { |
| "cases": [ |
| { |
| "name": "nearest_2x_f32", |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 2, 2], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 4, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_2x_nonsquare_f32", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 3], |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 4, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "linear_2x_nonsquare_f32", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 3], |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 4, 6], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "nearest_3x_multichannel_f32", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 3.0, 3.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 6, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_2x_f16", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [1, 1, 2, 2], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 1, 4, 4], "tolerance": 0.001 } } |
| }, |
| { |
| "name": "ort_nearest_non_integer_width_scale", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearest15XTest" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 1.5] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 4, 3], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_linear_4d_nchw_scale_2x4", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOp4DBilinearTest" |
| }, |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 1, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 1, 4, 8], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_nearest_2x_nchw_two_channels", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearest2XTest" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 4, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_nearest_2x3_nchw_two_channels", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearestTest" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 3.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 4, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_linear_4d_noop_scales", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOp4DBilinearTest_ScalesNoOp" |
| }, |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 1, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 1.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 1, 2, 2], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_nearest_4d_noop_scales", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearestTest_NoScale" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 1.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 2, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_nearest_batch_height_width_scale", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearest222XTest" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [2.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 2, 4, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_nearest_nhwc_axis_scaling", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.NhwcUpsampleOpNearestTest" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0, 3.0, 5.0, 7.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 1.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 4, 6, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_nearest_int32_nchw_2x3", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearestTest_int32" |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "int32", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1, 3, 3, 5, 3, 5, 7, 9] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 3.0] } } |
| }, |
| "outputs": { "y": { "dtype": "int32", "shape": [1, 2, 4, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_nearest_uint8_nchw_2x3", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearestTest_uint8", |
| "notes": "ONNX uint8 is represented as one logical value per 32-bit fixture slot." |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "uint8", |
| "shape": [1, 2, 2, 2], |
| "data": { "kind": "values", "values": [1, 3, 3, 5, 3, 5, 7, 9] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 3.0] } } |
| }, |
| "outputs": { "y": { "dtype": "uint8", "shape": [1, 2, 4, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_int8_negative_values_2x", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "int8", "shape": [1, 1, 2, 2], "data": { "kind": "values", "values": [-8, 3, 7, -1] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "int8", |
| "shape": [1, 1, 4, 4], |
| "tolerance": 0, |
| "data": { "kind": "values", "values": [-8, -8, 3, 3, -8, -8, 3, 3, 7, 7, -1, -1, 7, 7, -1, -1] } |
| } |
| }, |
| "provenance": { |
| "notes": "Synthetic signed-int8 nearest-neighbor witness. Negative and positive values prove the widened i32 load/store route preserves logical int8 values instead of treating them as uint8." |
| } |
| }, |
| { |
| "name": "onnx_backend_nearest_2x3_f32", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_upsample_nearest" }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 2, 2], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 3.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 4, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_nearest_rank1_2x", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOpNearestTest_1D", |
| "notes": "Deprecated Upsample nearest is rank-generic." |
| }, |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [5], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0] } }, |
| "scales": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [10], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_linear_rank2_2x4", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/tensor/upsample_op_test.cc", |
| "test": "UpsampleOpTest.UpsampleOp2DBilinearTest", |
| "notes": "Deprecated Upsample linear accepts rank-2 inputs." |
| }, |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [2, 2], "data": { "kind": "values", "values": [1.0, 3.0, 3.0, 5.0] } }, |
| "scales": { "dtype": "float32", "shape": [2], "data": { "kind": "values", "values": [2.0, 4.0] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [4, 8], |
| "data": { |
| "kind": "values", |
| "values": [1.0, 1.5, 2.0, 2.5, 3.0, 3.0, 3.0, 3.0, 2.0, 2.5, 3.0, 3.5, 4.0, 4.0, 4.0, 4.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.0, 5.0, 5.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.0, 5.0, 5.0] |
| }, |
| "tolerance": 0 |
| } |
| } |
| }, |
| { |
| "name": "nearest_4x_integer_scale_vec4", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 2, 2], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 4.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 8, 8], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_2x_larger_grid", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 64, 64], "tolerance": 0 } } |
| }, |
| { |
| "name": "linear_2x_stencil_multichannel", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 8, 12], |
| "data": { "kind": "fillFloat32", "sinStep": 0.21, "cosStep": 0.33 } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 16, 24] } } |
| }, |
| { |
| "name": "empty_zero_dim", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [0, 1, 2, 2], "data": { "kind": "values", "values": [] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [0, 1, 4, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "empty_zero_dim_f16", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [0, 1, 2, 2], "data": { "kind": "values", "values": [] } }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [0, 1, 4, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "linear_2x_f16_featuremap", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 16, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 16, 64, 64], "tolerance": 0.02 } } |
| }, |
| { |
| "name": "nearest_1point5x_f16_scalar_fallback", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 8, 30, 30], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.19 } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 1.5, 1.5] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 8, 45, 45], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "linear_nonint_f16_scalar_fallback", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 4, 28, 26], |
| "data": { "kind": "fillFloat32", "sinStep": 0.29, "cosStep": 0.13 } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 1.5, 1.5] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 4, 42, 39], "tolerance": 0.02 } } |
| }, |
| { |
| "name": "nearest_noninteger_wscale_scales_input_ignored_vec4", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 1, 2], "data": { "kind": "values", "values": [10.0, 20.0] } }, |
| "scales": { |
| "dtype": "float32", |
| "shape": [4], |
| "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 2.3333333] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_noninteger_wscale_scales_input_ignored_scalar", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 1, 2], "data": { "kind": "values", "values": [10.0, 20.0] } }, |
| "scales": { |
| "dtype": "float32", |
| "shape": [4], |
| "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 3.3333333] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_rank5_noninteger_scale_generic_ignored", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 1, 1, 2], "data": { "kind": "values", "values": [10.0, 20.0] } }, |
| "scales": { |
| "dtype": "float32", |
| "shape": [5], |
| "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 1.0, 2.3333333] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 1, 4], "tolerance": 0 } } |
| }, |
| { |
| "name": "nearest_2x_uint8_vec4_store", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "uint8", |
| "shape": [1, 1, 2, 4], |
| "data": { "kind": "values", "values": [1, 2, 3, 4, 5, 6, 7, 8] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "uint8", "shape": [1, 1, 4, 8], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank7_nearest_last_axis", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 1, 2, 1, 3], |
| "data": { "kind": "linspace", "start": 0.0, "end": 11.0 } |
| }, |
| "scales": { |
| "dtype": "float32", |
| "shape": [7], |
| "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 1, 2, 1, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank8_nearest_last_axis", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 1, 2, 1, 2, 3], |
| "data": { "kind": "linspace", "start": 1.0, "end": 24.0 } |
| }, |
| "scales": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 1, 2, 1, 2, 6], "tolerance": 0 } } |
| }, |
| { |
| "name": "linear_scale_2p1_not_exact_2x_f32", |
| "provenance": { |
| "notes": "scales 2.1 on a 3x3 input gives floor(3 * 2.1) = 6 outputs per axis, the same shape as an exact 2x upsample, but the asymmetric source coordinate is o / 2.1, not o / 2. A 2x stencil chosen from the shapes alone would compute the wrong interpolation weights." |
| }, |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.1, 2.1] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 6, 6], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "linear_scale_2p1_not_exact_2x_vec4_f32", |
| "provenance": { |
| "notes": "A 3-by-2 input with scales 2.1 produces a 6-by-4 vector-aligned output while retaining source coordinates based on 2.1 rather than 2." |
| }, |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 2], |
| "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] } |
| }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.1, 2.1] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 6, 4], "tolerance": 0.000001 } } |
| } |
| ] |
| } |
|
|
