Skip to content

Latest commit

 

History

History
142 lines (110 loc) · 13.5 KB

Releases.md

File metadata and controls

142 lines (110 loc) · 13.5 KB
Raw

DirectML Release History

See DirectML version history on MSDN for more detailed notes.

Version Feature level First available in OS Redistributable
1.9.1 DML_FEATURE_LEVEL_5_1 TBD Microsoft.AI.DirectML.1.9.1
1.9.0 DML_FEATURE_LEVEL_5_1 TBD Microsoft.AI.DirectML.1.9.0
1.8.2 DML_FEATURE_LEVEL_5_0 TBD Microsoft.AI.DirectML.1.8.2
1.8.1 DML_FEATURE_LEVEL_5_0 TBD Microsoft.AI.DirectML.1.8.1
1.8.0 DML_FEATURE_LEVEL_5_0 TBD Microsoft.AI.DirectML.1.8.0
1.7.0 DML_FEATURE_LEVEL_4_1 TBD Microsoft.AI.DirectML.1.7.0
1.6.0 DML_FEATURE_LEVEL_4_0 Windows 11 (Build 10.0.22000; 21H2) Microsoft.AI.DirectML.1.6.0
1.5.1 DML_FEATURE_LEVEL_3_1 Redistributable only Microsoft.AI.DirectML.1.5.1
1.5.0 DML_FEATURE_LEVEL_3_1 Redistributable only Microsoft.AI.DirectML.1.5.0
1.4.3 DML_FEATURE_LEVEL_3_0 Redistributable only Microsoft.AI.DirectML.1.4.3
1.4.2 DML_FEATURE_LEVEL_3_0 Redistributable only Microsoft.AI.DirectML.1.4.2
1.4.1 DML_FEATURE_LEVEL_3_0 Redistributable only Microsoft.AI.DirectML.1.4.1
1.4.0 DML_FEATURE_LEVEL_3_0 Redistributable only Microsoft.AI.DirectML.1.4.0
1.1.0 DML_FEATURE_LEVEL_2_0 Version 2004 (Build 10.0.19041; 20H1, "May 2020 Update") -
1.0.0 DML_FEATURE_LEVEL_1_0 Version 1903 (Build 10.0.18362; 19H1, "May 2019 Update") -

DirectML 1.9.1

  • Fixed bug in DML_OPERATOR_ONE_HOT operator when using large uint64 indices.
  • Improve FP32 convolution performance.
  • Improve DML_OPERATOR_JOIN operator performance.
  • Fix bug with unconnected split nodes when executing in DML graph.
  • Fix identity node optimization when near end of DML graph.

DirectML 1.9.0

  • Introduces DML_FEATURE_LEVEL_5_1
    • Adds 7 new operators:
      • DML_OPERATOR_ACTIVATION_GELU
      • DML_OPERATOR_ACTIVATION_SOFTMAX1
      • DML_OPERATOR_ACTIVATION_LOG_SOFTMAX1
      • DML_OPERATOR_ACTIVATION_HARDMAX1
      • DML_OPERATOR_RESAMPLE2
      • DML_OPERATOR_RESAMPLE_GRAD1
      • DML_OPERATOR_DIAGONAL_MATRIX1
  • GRU significant performance boost.
  • INT8 convolution performance improvement using DP4A HLSL intrinsics.

DirectML 1.8.2

  • Fix Linux-specific execution failure in a TensorFlow graph due to bad alignment related to bitscan forward instruction.
  • Fix incorrect results in 2D convolution with certain combinations of parameters where group count > 1 (issue).

DirectML 1.8.1

  • Fix telemetry bug that caused slower CPU execution over time with repeated operator creation.

DirectML 1.8.0

  • Introduces DML_FEATURE_LEVEL_5_0
    • Adds 4 new operators:
      • DML_OPERATOR_ELEMENT_WISE_CLIP1
      • DML_OPERATOR_ELEMENT_WISE_CLIP_GRAD1
      • DML_OPERATOR_PADDING1
      • DML_OPERATOR_ELEMENT_WISE_NEGATE
    • Supports 64-bit data type for operators: CLIP, CLIP_GRAD, CUMULATIVE_SUMMATION, CUMULATIVE_PRODUCT, ELEMENT_WISE_MAX, ELEMENT_WISE_MIN, REDUCE+REDUCE_FUNCTION_MAX, REDUCE+REDUCE_FUNCTION_MAX, REDUCE+REDUCE_FUNCTION_SUM, REDUCE+REDUCE_FUNCTION_MULTIPLY, REDUCE+REDUCE_FUNCTION_SUM_SQUARE, REDUCE+REDUCE_FUNCTION_L1, PADDING, SPACE_TO_DEPTH, DEPTH_TO_SPACE, TOP_K, ELEMENT_WISE_NEGATE, ELEMENT_WISE_IF, MAX_POOLING, MAX_UNPOOLING, FILL_VALUE_SEQUENCE, REVERSE_SUBSEQUENCES, ROI_ALIGN BatchIndicesTensor.
  • Bug fixes.

DirectML 1.7.0

  • Introduces DML_FEATURE_LEVEL_4_1
    • Adds 3 new operators:
      • DML_OPERATOR_ROI_ALIGN_GRAD
      • DML_OPERATOR_BATCH_NORMALIZATION_TRAINING
      • DML_OPERATOR_BATCH_NORMALIZATION_TRAINING_GRAD
    • Supports 64-bit data type for operators: ELEMENT_WISE_IDENTITY, ELEMENT_WISE_ADD, ELEMENT_WISE_SUBTRACT, ELEMENT_WISE_MULTIPLY, ELEMENT_WISE_ABS, ELEMENT_WISE_SIGN, ELEMENT_WISE_LOGICAL_EQUALS, ELEMENT_WISE_LOGICAL_GREATER_THAN, ELEMENT_WISE_LOGICAL_LESS_THAN, ELEMENT_WISE_LOGICAL_GREATER_THAN_OR_EQUAL, ELEMENT_WISE_LOGICAL_LESS_THAN_OR_EQUAL, ELEMENT_WISE_BIT_SHIFT_LEFT, ELEMENT_WISE_BIT_SHIFT_RIGHT, ELEMENT_WISE_BIT_AND, ELEMENT_WISE_BIT_OR, ELEMENT_WISE_BIT_NOT, ELEMENT_WISE_BIT_XOR, ELEMENT_WISE_BIT_COUNT, ARGMIN, ARGMAX, CAST, SLICE, SLICE1, SLICE_GRAD, SPLIT, JOIN, GATHER, GATHER_ELEMENTS, GATHER_ND, GATHER_ND1, SCATTER, SCATTER_ND, FILL_VALUE_CONSTANT, TILE, ONE_HOT
  • Substantial performance improvements for several operators (especially in training scenarios).
  • Bug fixes.

DirectML 1.6.0

  • Introduces DML_FEATURE_LEVEL_4_0
    • Adds 3 new operators:
      • DML_OPERATOR_ELEMENT_WISE_QUANTIZED_LINEAR_ADD
      • DML_OPERATOR_DYNAMIC_QUANTIZE_LINEAR
      • DML_OPERATOR_ROI_ALIGN1
    • Supports 8D tensors for operators: FILL_VALUE_CONSTANT, FILL_VALUE_SEQUENCE, CUMULATIVE_SUMMATION, CUMULATIVE_PRODUCT, REVERSE_SUBSEQUENCES, ACTIVATION_RELU_GRAD, RANDOM_GENERATOR, NONZERO_COORDINATES, ADAM_OPTIMIZER, DYNAMIC_QUANTIZE_LINEAR, ELEMENT_WISE_QUANTIZED_LINEAR_ADD
  • Substantial performance improvements for several operators.
  • Bug fixes.

DirectML 1.5.1

  • Adds a workaround for a driver issue that affects some Intel devices. For the best performance it is recommended to use the latest drivers.

DirectML 1.5.0

  • Introduces a new feature level: DML_FEATURE_LEVEL_3_1
    • Adds 6 new operators:
      • DML_OPERATOR_ELEMENT_WISE_ATAN_YX,
      • DML_OPERATOR_ELEMENT_WISE_CLIP_GRAD,
      • DML_OPERATOR_ELEMENT_WISE_DIFFERENCE_SQUARE,
      • DML_OPERATOR_LOCAL_RESPONSE_NORMALIZATION_GRAD,
      • DML_OPERATOR_CUMULATIVE_PRODUCT,
      • DML_OPERATOR_BATCH_NORMALIZATION_GRAD,
    • Supports 8D tensors for operators: ELEMENT_WISE_CLIP_GRAD, ELEMENT_WISE_DIFFERENCE_SQUARE, ELEMENT_WISE_ATAN_YX, CAST, JOIN, PADDING, TILE, TOP_K, BATCH_NORMALIZATION, BATCH_NORMALIZATION_GRAD, LP_NORMALIZATION, TOP_K1, MEAN_VARIANCE_NORMALIZATION1, SLICE_GRAD
  • Initial support ARM/ARM64 builds of DirectML.
  • Substantial performance improvements for several operators.
  • Bug fixes.

DirectML 1.4.3

  • Fix perf issue for NHWC layouts of fused activation with Convolution/GEMM/Normalization.

DirectML 1.4.2

  • Add PIX markers support to redist to enable profiling graph at operator level.

DirectML 1.4.1

  • Bug fixes related to metacomands:
    • Fix DML_OPERATOR_BATCH_NORMALIZATION crash when the operator is created with DimensionCount > 5.
    • Fix DML_OPERATOR_MAX_POOLING1/2 binding order for optional output indices tensor. This did not affect the output, but when running with GPU validation enabled, an error would happen "Supplied parameters size doesn't match enumerated size".

DirectML 1.4.0

  • First release of DirectML as a redistributable NuGet package, Microsoft.AI.DirectML.
  • Introduces two new feature levels since DirectML 1.1.0: DML_FEATURE_LEVEL_3_0 and DML_FEATURE_LEVEL_2_1.
    • Adds 44 new operators.
    • The maximum number of tensor dimensions has been increased from 5 to 8 for operators: ELEMENT_WISE_IDENTITY, ELEMENT_WISE_ABS, ELEMENT_WISE_ACOS, ELEMENT_WISE_ADD, ELEMENT_WISE_ASIN, ELEMENT_WISE_ATAN, ELEMENT_WISE_CEIL, ELEMENT_WISE_CLIP, ELEMENT_WISE_COS, ELEMENT_WISE_DIVIDE, ELEMENT_WISE_EXP, ELEMENT_WISE_FLOOR, ELEMENT_WISE_LOG, ELEMENT_WISE_LOGICAL_AND, ELEMENT_WISE_LOGICAL_EQUALS, ELEMENT_WISE_LOGICAL_GREATER_THAN, ELEMENT_WISE_LOGICAL_LESS_THAN, ELEMENT_WISE_LOGICAL_GREATER_THAN_OR_EQUAL, ELEMENT_WISE_LOGICAL_LESS_THAN_OR_EQUAL, ELEMENT_WISE_LOGICAL_NOT, ELEMENT_WISE_LOGICAL_OR, ELEMENT_WISE_LOGICAL_XOR, ELEMENT_WISE_MAX, ELEMENT_WISE_MEAN, ELEMENT_WISE_MIN, ELEMENT_WISE_MULTIPLY, ELEMENT_WISE_POW, ELEMENT_WISE_CONSTANT_POW, ELEMENT_WISE_RECIP, ELEMENT_WISE_SIN, ELEMENT_WISE_SQRT, ELEMENT_WISE_SUBTRACT, ELEMENT_WISE_TAN, ELEMENT_WISE_THRESHOLD, ELEMENT_WISE_QUANTIZE_LINEAR, ELEMENT_WISE_DEQUANTIZE_LINEAR, ARGMIN, ARGMAX, SLICE, SPLIT, GATHER, ELEMENT_WISE_SIGN, ELEMENT_WISE_IS_NAN, ELEMENT_WISE_ERF, ELEMENT_WISE_SINH, ELEMENT_WISE_COSH, ELEMENT_WISE_TANH, ELEMENT_WISE_ASINH, ELEMENT_WISE_ACOSH, ELEMENT_WISE_ATANH, ELEMENT_WISE_IF, ELEMENT_WISE_ADD1, SCATTER, ONE_HOT, ELEMENT_WISE_BIT_SHIFT_LEFT, ELEMENT_WISE_BIT_SHIFT_RIGHT, ELEMENT_WISE_ROUND, ELEMENT_WISE_IS_INFINITY, ELEMENT_WISE_MODULUS_TRUNCATE, ELEMENT_WISE_MODULUS_FLOOR, GATHER_ELEMENTS, GATHER_ND, SCATTER_ND, SLICE1, ELEMENT_WISE_BIT_AND, ELEMENT_WISE_BIT_OR, ELEMENT_WISE_BIT_XOR, ELEMENT_WISE_BIT_NOT, ELEMENT_WISE_BIT_COUNT, GATHER_ND1
    • Select operators support additional tensor data types.
  • Substantial performance improvements for several operators.
  • Bug fixes.

DirectML 1.1.0

  • Introduces a new feature level: DML_FEATURE_LEVEL_2_0.
    • Adds 19 new operators.
    • When binding an input resource for dispatch of an IDMLOperatorInitializer, it is now legal to provide a resource with D3D12_HEAP_TYPE_CUSTOM (in addition to D3D12_HEAP_TYPE_DEFAULT), as long as appropriate heap properties are also set.
    • Select operators support 8-bit integer tensors.
    • 5D activation functions now support the use of strides on their input and output tensors.
  • Substantial performance improvements for several operators.
  • Bug fixes.

DirectML 1.0.0

  • First release of DirectML