MetalPerformanceShadersGraph tvOS xcode13.0 beta5
Manuel de la Pena edited this page Aug 10, 2021
·
1 revision
#MetalPerformanceShadersGraph.framework
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h 2021-07-22 04:36:07.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h 2021-08-09 03:25:27.000000000 -0400
@@ -253,7 +253,7 @@
* @abstract Encodes graph for given feeds to return targetTensor values, ensuring all target operations also executed.
* This call is asynchronous and will return immediately if a completionHandler is set.
*
- * @param commandBuffer commandBuffer passed to exectute the graph on
+ * @param commandBuffer commandBuffer passed to exectute the graph on, it is an MPSCommandBuffer, commitAndContinue might be called, please don't rely on underlying MTLCommandBuffer to remain uncommitted
* @param feeds Feeds dictionary for the placeholder tensors
* @param targetTensors Tensors for which the caller wishes MPSGraphTensorData to be returned
* @param targetOperations Operations to be completed at the end of the run
@@ -272,7 +272,7 @@
* @abstract Encodes the graph for given feeds to return targetTensor values in the resultsDictionary provided by the user,
* ensuring all target operations also executed. This call is asynchronous and will return immediately if a completionHandler is set.
*
- * @param commandBuffer commandBuffer passed to exectute the graph on
+ * @param commandBuffer commandBuffer passed to exectute the graph on, commitAndContinue might be called, please don't rely on underlying MTLCommandBuffer to remain uncommitted
* @param feeds Feeds dictionary for the placeholder tensors
* @param targetOperations Operations to be completed at the end of the run
* @param resultsDictionary MPSGraphTensors dictionary passed by user, these will be filled with graph output data
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphActivationOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphActivationOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphActivationOps.h 2021-07-22 04:36:06.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphActivationOps.h 2021-08-07 08:51:27.000000000 -0400
@@ -44,6 +44,28 @@
axis:(NSInteger) axis
name:(NSString * _Nullable) name;
+
+/*!
+ * @brief Leaky ReLU activation tensor
+ * @discussion Specifies the leaky ReLU activation tensor.
+ * For each pixel, applies the following function: f(x) = max(x, alpha * x)
+ */
+-(MPSGraphTensor*)leakyReLUWithTensor:(MPSGraphTensor* _Nonnull)tensor
+ alpha:(double) alpha
+ name:(NSString* _Nullable) name
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+-(MPSGraphTensor*)leakyReLUWithTensor:(MPSGraphTensor* _Nonnull) tensor
+ alphaTensor:(MPSGraphTensor* _Nonnull) alphaTensor
+ name:(NSString* _Nullable) name
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+-(MPSGraphTensor*)leakyReLUGradientWithIncomingGradient:(MPSGraphTensor *) gradient
+ sourceTensor:(MPSGraphTensor* _Nonnull) source
+ alphaTensor:(MPSGraphTensor* _Nonnull) alphaTensor
+ name:(NSString* _Nullable) name
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
@end
NS_ASSUME_NONNULL_END
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionOps.h 2021-07-22 14:19:18.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionOps.h 2021-08-07 05:21:46.000000000 -0400
@@ -79,6 +79,19 @@
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( convolution2D(_:weights:descriptor:name:) );
+/*!
+ * @abstract Create Convolution gradient op and return the result tensor
+ * @discussion Computes the gradient of source input for the forward pass Convolution op with identical parameters.
+ * See discussion of convolution2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param incomingGradient Incoming gradient tensor
+ * @param weights Forward pass weights tensor
+ * @param outputShape Shape of the forward pass source tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
-(MPSGraphTensor *) convolution2DDataGradientWithIncomingGradientTensor:(MPSGraphTensor *) incomingGradient
weightsTensor:(MPSGraphTensor *) weights
outputShape:(MPSShape *) outputShape
@@ -86,6 +99,40 @@
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( convolution2DDataGradient(_:weights:outputShape:forwardConvolutionDescriptor:name:) );
+/*!
+ * @abstract Create Convolution gradient op and return the result tensor
+ * @discussion Computes the gradient of source input for the forward pass Convolution op with identical parameters.
+ * See discussion of convolution2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param gradient Incoming gradient tensor
+ * @param weights Forward pass weights tensor
+ * @param outputShapeTensor 1D Int32 or Int64 Tensor. Shape of the forward pass source tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) convolution2DDataGradientWithIncomingGradientTensor:(MPSGraphTensor *) gradient
+ weightsTensor:(MPSGraphTensor *) weights
+ outputShapeTensor:(MPSGraphTensor *) outputShapeTensor
+ forwardConvolutionDescriptor:(MPSGraphConvolution2DOpDescriptor *) forwardConvolutionDescriptor
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( convolution2DDataGradient(_:weights:outputShapeTensor:forwardConvolutionDescriptor:name:) );
+
+/*!
+ * @abstract Create Convolution gradient op and return the result tensor
+ * @discussion Computes the gradient of weights input for the forward pass Convolution op with identical parameters.
+ * See discussion of convolution2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param incomingGradient Incoming gradient tensor
+ * @param source Forward pass source tensor
+ * @param outputShape Shape of the forward pass weights tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
-(MPSGraphTensor *) convolution2DWeightsGradientWithIncomingGradientTensor:(MPSGraphTensor *) incomingGradient
sourceTensor:(MPSGraphTensor *) source
outputShape:(MPSShape *) outputShape
@@ -93,6 +140,27 @@
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( convolution2DWeightsGradient(_:source:outputShape:forwardConvolutionDescriptor:name:) );
+/*!
+ * @abstract Create Convolution gradient op and return the result tensor
+ * @discussion Computes the gradient of weights input for the forward pass Convolution op with identical parameters.
+ * See discussion of convolution2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param gradient Incoming gradient tensor
+ * @param source Forward pass source tensor
+ * @param outputShapeTensor 1D int32 or Int64 Tensor. Shape of the forward pass weights tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) convolution2DWeightsGradientWithIncomingGradientTensor:(MPSGraphTensor *) gradient
+ sourceTensor:(MPSGraphTensor *) source
+ outputShapeTensor:(MPSGraphTensor *) outputShapeTensor
+ forwardConvolutionDescriptor:(MPSGraphConvolution2DOpDescriptor *) forwardConvolutionDescriptor
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( convolution2DWeightsGradient(_:source:outputShapeTensor:forwardConvolutionDescriptor:name:) );
+
@end
NS_ASSUME_NONNULL_END
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionTransposeOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionTransposeOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionTransposeOps.h 2021-07-22 04:36:06.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphConvolutionTransposeOps.h 2021-08-09 03:25:26.000000000 -0400
@@ -16,18 +16,30 @@
MPS_CLASS_AVAILABLE_STARTING(macos(11.0), ios(14.0), tvos(14.0))
@interface MPSGraph(MPSGraphConvolutionTransposeOps)
-/*! Convolution Tranpose op is exactly the same as convolution gradint with respect to input image (convolution2DDataGradient)
- * Weights tensor and source tensors are interpreted as they are in convolution2DDataGradientWithIncomingGradient. For example
- * if weightsTensor layout is HWIO, inner most (fastest moving) dimension, denoted by O here should be equal to inputFeatureChannels i.e. number of channels in source tensor
- * and next fasted moving dimension denoated by I is equal to number of channels in returns (destination) tensor outputFeatureChannels.
- * TensorFlow interprets the weights tensor same way excpet that it states weights are in HWOI format. We dont define another weights format enum
- * rather we reinterpret HWIO just like TensorFlow does for gradient with data.
- * Normally in auto encoder, convoluton transpose
- * is associated with regular convolution i.e. convolution downsamples by stride s and convolution tranpose upsamples by factor s. In that case, convolution
- * transpose can map same source size to multiple destination sizes. The relationship between sourceWidth and destinationWidth is
- * (sourceWidth - 1) * stride + 1 + (kernelWidth - 1) * dilationRate <= destinationWidth + paddingLeft + paddingRight
- * so there are stride -1 destinationWidth that give same sourceWidth. In order to disambiguate, outputShape parameter is used. This is what TensorFlow does.
- * PyTourch takes additional outputPadding that is applied to destination size.
+/*!
+ * @abstract Create ConvolutionTranspose op and return the result tensor
+ * @discussion Convolution Tranpose op is exactly the same as convolution gradint with respect to input image (convolution2DDataGradient)
+ * Weights tensor and source tensors are interpreted as they are in convolution2DDataGradientWithIncomingGradient. For example
+ * if weightsTensor layout is HWIO, inner most (fastest moving) dimension, denoted by O here should be equal to inputFeatureChannels
+ * i.e. number of channels in source tensor
+ * and next fasted moving dimension denoated by I is equal to number of channels in returns (destination) tensor outputFeatureChannels.
+ * TensorFlow interprets the weights tensor same way excpet that it states weights are in HWOI format. We dont define another weights format enum
+ * rather we reinterpret HWIO just like TensorFlow does for gradient with data.
+ * Normally in auto encoder, convoluton transpose is associated with regular convolution i.e. convolution downsamples by stride s
+ * and convolution tranpose upsamples by factor s.
+ * In that case, convolution transpose can map same source size to multiple destination sizes. The relationship between sourceWidth and destinationWidth is
+ * (sourceWidth - 1) * stride + 1 + (kernelWidth - 1) * dilationRate <= destinationWidth + paddingLeft + paddingRight
+ * so there are stride -1 destinationWidth that give same sourceWidth. In order to disambiguate, outputShape parameter is used.
+ * This is what TensorFlow does.
+ * PyTourch takes additional outputPadding that is applied to destination size.
+ *
+ * @param source input tensor
+ * @param weights weights tensor
+ * @param outputShape shape of the result tensor
+ * @param descriptor descriptor for the corresponding forward Conv2d operation
+ * @param name name for the operation
+ *
+ * @return A valid MPSGraphTensor object.
*/
-(MPSGraphTensor *) convolutionTranspose2DWithSourceTensor:(MPSGraphTensor *) source
weightsTensor:(MPSGraphTensor *) weights
@@ -36,6 +48,52 @@
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( convolutionTranspose2D(_:weights:outputShape:descriptor:name:) );
+/*!
+ * @abstract Create ConvolutionTranspose op and return the result tensor
+ * @discussion Convolution Tranpose op is exactly the same as convolution gradint with respect to input image (convolution2DDataGradient)
+ * Weights tensor and source tensors are interpreted as they are in convolution2DDataGradientWithIncomingGradient. For example
+ * if weightsTensor layout is HWIO, inner most (fastest moving) dimension, denoted by O here should be equal to inputFeatureChannels
+ * i.e. number of channels in source tensor
+ * and next fasted moving dimension denoated by I is equal to number of channels in returns (destination) tensor outputFeatureChannels.
+ * TensorFlow interprets the weights tensor same way excpet that it states weights are in HWOI format. We dont define another weights format enum
+ * rather we reinterpret HWIO just like TensorFlow does for gradient with data.
+ * Normally in auto encoder, convoluton transpose is associated with regular convolution i.e. convolution downsamples by stride s
+ * and convolution tranpose upsamples by factor s.
+ * In that case, convolution transpose can map same source size to multiple destination sizes. The relationship between sourceWidth and destinationWidth is
+ * (sourceWidth - 1) * stride + 1 + (kernelWidth - 1) * dilationRate <= destinationWidth + paddingLeft + paddingRight
+ * so there are stride -1 destinationWidth that give same sourceWidth. In order to disambiguate, outputShape parameter is used.
+ * This is what TensorFlow does.
+ * PyTourch takes additional outputPadding that is applied to destination size.
+ *
+ * @param source input tensor
+ * @param weights weights tensor
+ * @param outputShape 1D Int32 or Int64 tensor. shape of the result tensor
+ * @param descriptor descriptor for the corresponding forward Conv2d operation
+ * @param name name for the operation
+ *
+ * @return A valid MPSGraphTensor object.
+ */
+-(MPSGraphTensor *) convolutionTranspose2DWithSourceTensor:(MPSGraphTensor *) source
+ weightsTensor:(MPSGraphTensor *) weights
+ outputShapeTensor:(MPSGraphTensor*) outputShape
+ descriptor:(MPSGraphConvolution2DOpDescriptor *) descriptor
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( convolutionTranspose2D(_:weights:outputShapeTensor:descriptor:name:) );
+
+/*!
+ * @abstract Create ConvolutionTranspose gradient op and return the result tensor
+ * @discussion Computes the gradient of source input for the forward pass ConvolutionTranspose op with identical parameters.
+ * See discussion of convolutionTranspose2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param incomingGradient Incoming gradient tensor
+ * @param weights Forward pass weights tensor
+ * @param outputShape Shape of the forward pass source tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
-(MPSGraphTensor *) convolutionTranspose2DDataGradientWithIncomingGradientTensor:(MPSGraphTensor *) incomingGradient
weightsTensor:(MPSGraphTensor *) weights
outputShape:(MPSShape *) outputShape
@@ -43,6 +101,40 @@
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( convolutionTranspose2DDataGradient(_:weights:outputShape:forwardConvolutionDescriptor:name:) );
+/*!
+ * @abstract Create ConvolutionTranspose gradient op and return the result tensor
+ * @discussion Computes the gradient of source input for the forward pass ConvolutionTranspose op with identical parameters.
+ * See discussion of convolutionTranspose2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param incomingGradient Incoming gradient tensor
+ * @param weights Forward pass weights tensor
+ * @param outputShape 1D Int32 or Int64 Tensor. Shape of the forward pass source tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) convolutionTranspose2DDataGradientWithIncomingGradientTensor:(MPSGraphTensor *) incomingGradient
+ weightsTensor:(MPSGraphTensor *) weights
+ outputShapeTensor:(MPSGraphTensor *) outputShape
+ forwardConvolutionDescriptor:(MPSGraphConvolution2DOpDescriptor *) forwardConvolutionDescriptor
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( convolutionTranspose2DDataGradient(_:weights:outputShapeTensor:forwardConvolutionDescriptor:name:) );
+
+/*!
+ * @abstract Create ConvolutionTranspose gradient op and return the result tensor
+ * @discussion Computes the gradient of weights input for the forward pass ConvolutionTranspose op with identical parameters.
+ * See discussion of convolutionTranspose2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param incomingGradientTensor Incoming gradient tensor
+ * @param source Forward pass source tensor
+ * @param outputShape Shape of the forward pass source weights tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
-(MPSGraphTensor *) convolutionTranspose2DWeightsGradientWithIncomingGradientTensor:(MPSGraphTensor *) incomingGradientTensor
sourceTensor:(MPSGraphTensor *) source
outputShape:(MPSShape *) outputShape
@@ -50,6 +142,27 @@
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( convolutionTranspose2DWeightsGradient(_:weights:outputShape:forwardConvolutionDescriptor:name:) );
+/*!
+ * @abstract Create ConvolutionTranspose gradient op and return the result tensor
+ * @discussion Computes the gradient of weights input for the forward pass ConvolutionTranspose op with identical parameters.
+ * See discussion of convolutionTranspose2DWithSourceTensor for more in depth description of paramters.
+ *
+ * @param incomingGradientTensor Incoming gradient tensor
+ * @param source Forward pass source tensor
+ * @param outputShape 1D Int32 or Int64 Tensor. Shape of the forward pass source weights tensor
+ * @param forwardConvolutionDescriptor Forward pass op descriptor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) convolutionTranspose2DWeightsGradientWithIncomingGradientTensor:(MPSGraphTensor *) incomingGradientTensor
+ sourceTensor:(MPSGraphTensor *) source
+ outputShapeTensor:(MPSGraphTensor *) outputShape
+ forwardConvolutionDescriptor:(MPSGraphConvolution2DOpDescriptor *) forwardConvolutionDescriptor
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( convolutionTranspose2DWeightsGradient(_:weights:outputShapeTensor:forwardConvolutionDescriptor:name:) );
+
@end
NS_ASSUME_NONNULL_END
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphResizeOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphResizeOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphResizeOps.h 2021-07-22 04:36:06.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphResizeOps.h 2021-08-07 05:21:47.000000000 -0400
@@ -62,7 +62,54 @@
centerResult:(BOOL) centerResult
alignCorners:(BOOL) alignCorners
layout:(MPSGraphTensorNamedDataLayout) layout
- name:(NSString * _Nullable) name;
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( resize(_:size:mode:centerResult:alignCorners:layout:name:) );
+
+/*!
+ * @abstract Create Resize op and return the result tensor
+ * @discussion Resamples input images to given size. Result images will be distorted if size is of different aspect ratio.
+ * Resize supports the following modes:
+ * Nearest Neighnor - values are interpolated using the closest neighbor pixel
+ * Bilinear - values are computed using bilinear interpolation of 4 neighboring pixels
+ *
+ * Destination indices are computed using direct index scaling by default, with no offset added.
+ * If the centerResult parameter is true, the destination indices will be scaled and shifted to be centered
+ * on the input image.
+ * If the alignCorners parameter is true, the corners of the result images will match the input images.
+ * Scaling will be modified to a factor of (size - 1) / (inputSize - 1). When alignCorners is true, the
+ * centerResult parameter does nothing.
+ *
+ * In order to achieve the same behavior as OpenCV's resize and TensorFlowV2's resize,
+ * @code
+ * centerResult = YES;
+ * alginCorners = NO;
+ * @endcode
+ *
+ * To achieve the same behavior as TensorFlowV1 resize
+ * @code
+ * centerResult = NO;
+ * @endcode
+ *
+ * @param imagesTensor Tensor containing input images.
+ * @param size 1D Int32 or Int64 tensor. A 2-element shape as [newHeight, newWidth]
+ * @param mode The resampling mode to use.
+ * @param centerResult Controls if the result image is centered on the input image. When NO, the result will have the top left corner aligned
+ * @param alignCorners When YES, the result image will have the same value as the input image in the corners
+ * @param layout Specifies what layout the provided tensor is in. The returned tensor will follow the same layout.
+ * Valid layouts are NHWC, NCHW, HWC, CHW, and HW.
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) resizeTensor:(MPSGraphTensor *) imagesTensor
+ sizeTensor:(MPSGraphTensor *) size
+ mode:(MPSGraphResizeMode) mode
+ centerResult:(BOOL) centerResult
+ alignCorners:(BOOL) alignCorners
+ layout:(MPSGraphTensorNamedDataLayout) layout
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( resize(_:sizeTensor:mode:centerResult:alignCorners:layout:name:) );
/*!
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphScatterNDOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphScatterNDOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphScatterNDOps.h 2021-07-22 14:32:56.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphScatterNDOps.h 2021-08-09 03:22:24.000000000 -0400
@@ -34,6 +34,8 @@
MPSGraphScatterModeSet MPS_ENUM_AVAILABLE_STARTING(macos(11.0), ios(14.0), tvos(14.0)) = 6L,
};
+#pragma mark ScatterND
+
MPS_CLASS_AVAILABLE_STARTING(macos(11.0), ios(14.0), tvos(14.0))
@interface MPSGraph(ScatterNDOps)
@@ -109,6 +111,126 @@
batchDimensions:(NSUInteger) batchDimensions
name:(NSString * _Nullable) name;
+/*!
+ * @abstract Create ScatterND op and return the result tensor
+ * @discussion Scatters the slices in updatesTensor to the result tensor along the indices in indicesTensor, on top of dataTensor.
+ * The scatter is defined as
+ * @code
+ * B = batchDims
+ * U = updates.rank - B
+ * P = res.rank - B
+ * Q = inds.rank - B
+ * K = inds.shape[-1]
+ * index_slice = indices[i_{b0},...,i_{bB},i_{0},..,i_{Q-1}]
+ * res[...] = data[...]
+ * res[i_{b0},...,i_{bB},index_slice[0],...,index_slice[K-1]] += updates[i_{b0},...,i_{bB},i_{0},...,i_{Q-1}] // Note += is used but this depends on mode
+ * @endcode
+ * Collsions will be updated according to mode, and slices not set by indices are set to 0. The tensors have the following shape requirements
+ * @code
+ * K <= P
+ * U = (P-K) + Q-1
+ * data.shape = res.shape
+ * indices.shape[0:Q-1] = updates.shape[0:Q-1]
+ * updates.shape[Q:U] = res.shape[K:P]
+ * @endcode
+ *
+ * @param dataTensor Tensor containing inital values of same shape as result tensor
+ * @param updatesTensor Tensor containing slices to be inserted into the result tensor
+ * @param indicesTensor Tensor containg the result indices to insert slices at
+ * @param batchDimensions The number of batch dimensions
+ * @param mode The type of update to use on the destination
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) scatterNDWithDataTensor:(MPSGraphTensor *) dataTensor
+ updatesTensor:(MPSGraphTensor *) updatesTensor
+ indicesTensor:(MPSGraphTensor *) indicesTensor
+ batchDimensions:(NSUInteger) batchDimensions
+ mode:(MPSGraphScatterMode) mode
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( scatterNDWithData(_:updates:indices:batchDimensions:mode:name:) )
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+@end
+
+#pragma mark Scatter
+
+@interface MPSGraph(MPSGraphScatterOps)
+
+/*!
+ * @abstract Create Scatter op and return the result tensor
+ * @discussion Scatters the slices in updatesTensor to the result tensor along the indices in indicesTensor.
+ * The scatter is defined as
+ * @code
+ * U = updates.rank
+ * P = res.rank
+ * res[i_{0},...,i_{axis-1},indices[i_{axis}],i_{axis+1},...,i_{U-1}] = updates[i_{0},...,i_{axis-1},i_{axis},i_{axis+1},...,i_{U-1}]
+ * @endcode
+ * Collsions will be updated according to mode. The tensors have the following shape requirements
+ * @code
+ * U = P
+ * indices.rank = 1
+ * updates.shape[0:axis-1] = res.shape[0:axis-1]
+ * updates.shape[axis] = indices.shape[0]
+ * updates.shape[axis+1:U] = res.shape[0:P]
+ * @endcode
+ *
+ * @param updatesTensor Tensor containing values to be inserted into the result tensor
+ * @param indicesTensor Tensor containg the result indices to insert values at
+ * @param shape The shape of the result tensor
+ * @param axis The axis of the result tensor to scatter values along
+ * @param mode The type of update to use on the destination
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) scatterWithUpdatesTensor:(MPSGraphTensor *) updatesTensor
+ indicesTensor:(MPSGraphTensor *) indicesTensor
+ shape:(MPSShape *) shape
+ axis:(NSInteger) axis
+ mode:(MPSGraphScatterMode) mode
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( scatter(_:indices:shape:axis:mode:name:) )
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+/*!
+ * @abstract Create Scatter op and return the result tensor
+ * @discussion Scatters the slices in updatesTensor to the result tensor along the indices in indicesTensor, on top of dataTensor.
+ * The scatter is defined as
+ * @code
+ * U = updates.rank
+ * P = res.rank
+ * res[...] = data[...]
+ * res[i_{0},...,i_{axis-1},indices[i_{axis}],i_{axis+1},...,i_{U-1}] += updates[i_{0},...,i_{axis-1},i_{axis},i_{axis+1},...,i_{U-1}] // Note += is used but this depends on mode
+ * @endcode
+ * Collsions will be updated according to mode. The tensors have the following shape requirements
+ * @code
+ * U = P
+ * indices.rank = 1
+ * data.shape = res.shape
+ * updates.shape[0:axis-1] = res.shape[0:axis-1]
+ * updates.shape[axis] = indices.shape[0]
+ * updates.shape[axis+1:U] = res.shape[0:P]
+ * @endcode
+ *
+ * @param dataTensor Tensor containing inital values of same shape as result tensor
+ * @param updatesTensor Tensor containing values to be inserted into the result tensor
+ * @param indicesTensor Tensor containg the result indices to insert values at
+ * @param axis The axis of the result tensor to scatter values along
+ * @param mode The type of update to use on the destination
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) scatterWithDataTensor:(MPSGraphTensor *) dataTensor
+ updatesTensor:(MPSGraphTensor *) updatesTensor
+ indicesTensor:(MPSGraphTensor *) indicesTensor
+ axis:(NSInteger) axis
+ mode:(MPSGraphScatterMode) mode
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( scatterWithData(_:updates:indices:axis:mode:name:) )
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
@end
NS_ASSUME_NONNULL_END
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphSparseOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphSparseOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphSparseOps.h 2021-07-22 14:19:18.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphSparseOps.h 2021-08-07 08:51:27.000000000 -0400
@@ -27,7 +27,7 @@
MPSGraphSparseStorageCSR MPS_ENUM_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0)) = 2L,
};
-MPS_ENUM_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
@interface MPSGraphCreateSparseOpDescriptor : NSObject <NSCopying>
@property(readwrite, nonatomic) MPSGraphSparseStorageType sparseStorageType;
@@ -39,7 +39,6 @@
@end
-MPS_ENUM_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
@interface MPSGraph (MPSGraphSparseOps)
/*!
@@ -64,6 +63,7 @@
shape:(MPSShape *)shape
dataType:(MPSDataType)dataType
name:(NSString *_Nullable)name
+ MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
MPS_SWIFT_NAME(sparseTensor(sparseTensorWithType:tensors:shape:dataType:name:));
/*!
@@ -86,6 +86,7 @@
tensors:(NSArray<MPSGraphTensor *> *)inputTensorArray
shape:(MPSShape *)shape
name:(NSString *_Nullable)name
+ MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
MPS_SWIFT_NAME(sparseTensor(sparseTensorWithDescriptor:tensors:shape:name:));
@end
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTensorShapeOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTensorShapeOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTensorShapeOps.h 2021-07-22 14:32:57.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTensorShapeOps.h 2021-08-09 03:22:24.000000000 -0400
@@ -17,11 +17,41 @@
MPS_CLASS_AVAILABLE_STARTING(macos(11.0), ios(14.0), tvos(14.0))
@interface MPSGraph(MPSGraphTensorShapeOps)
+/*!
+ * @abstract Create Reshape op and return the result tensor
+ * @discussion Reshape the input tensor to the target shape
+ * The shape must be compatible with the input tensor shape
+ * shape is allowed to contain dynamic dimensions (-1) when the result type can be inferred unambiguously
+ *
+ * @param tensor Tensor to be reshaped.
+ * @param shape The result tensor shape
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
-(MPSGraphTensor *) reshapeTensor:(MPSGraphTensor *) tensor
withShape:(MPSShape *) shape
name:(NSString * _Nullable) name
MPS_SWIFT_NAME( reshape(_:shape:name:) );
+/*!
+ * @abstract Create Reshape op and return the result tensor
+ * @discussion Reshape the input tensor to the target shapeTensor
+ * The shape must be compatible with the input tensor shape
+ * shapeTensor is allowed to contain dynamic dimensions (-1) when the result type can be inferred unambiguously
+ *
+ * @param tensor Tensor to be reshaped.
+ * @param shapeTensor 1D Int32 or Int64 tensor. The result tensor shape
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) reshapeTensor:(MPSGraphTensor *) tensor
+ withShapeTensor:(MPSGraphTensor *) shapeTensor
+ name:(NSString * _Nullable) name
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+MPS_SWIFT_NAME( reshape(_:shapeTensor:name:) );
+
-(MPSGraphTensor *) transposeTensor:(MPSGraphTensor *) tensor
dimension:(NSUInteger) dimensionIndex
withDimension:(NSUInteger) dimensionIndex2
@@ -331,6 +361,71 @@
MPS_SWIFT_NAME( flatten2D(_:axisTensor:name:) )
MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+/*!
+ * @abstract Create broadcast op and return the result tensor
+ * @discussion Broadcast values inside the tensor, starting from the trailing dimensions, to give it the correct shape.
+ * This is equivalent to the broadcasting for arithmetic operations when operands have different shapes.
+ *
+ * @param tensor Tensor to be broadcasted
+ * @param shape Shape of the result tensor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+
+-(MPSGraphTensor *) broadcastTensor:(MPSGraphTensor *) tensor
+ toShape:(MPSShape *) shape
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( broadcast(_:shape:name:) )
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+/*!
+ * @abstract Create broadcast op and return the result tensor
+ * @discussion Broadcast values inside the tensor, starting from the trailing dimensions, to give it the correct shape.
+ * This is equivalent to the broadcasting for arithmetic operations when operands have different shapes.
+ *
+ * @param tensor Tensor to be broadcasted
+ * @param shapeTensor 1D Int32 or Int64 tensor. Shape of the result tensor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+
+-(MPSGraphTensor *) broadcastTensor:(MPSGraphTensor *) tensor
+ toShapeTensor:(MPSGraphTensor *) shapeTensor
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( broadcast(_:shapeTensor:name:) )
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+/*!
+ * @abstract Create shapeof op and return the result tensor
+ * @discussion Returns a 1D Int32 tensor with value the static shape of the input tensor
+ *
+ * @param tensor Input tensor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+
+-(MPSGraphTensor *) shapeOfTensor:(MPSGraphTensor *) tensor
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( shapeOf(_:name:) )
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
+
+/*!
+ * @abstract Create cast op and return the result tensor
+ * @discussion Returns input tensor casted to the dataType passed in
+ *
+ * @param tensor Input tensor
+ * @param type Input tensor
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *)castTensor:(MPSGraphTensor *)tensor
+ toType:(MPSDataType)type
+ name:(NSString *)name
+MPS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0));
@end
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTopKOps.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTopKOps.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTopKOps.h 1969-12-31 19:00:00.000000000 -0500
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraphTopKOps.h 2021-08-07 05:21:47.000000000 -0400
@@ -0,0 +1,107 @@
+//
+// MPSGraphTopKOps.h
+// MPSGraph
+//
+// Created by Chris Bayley on 9/21/20.
+// Copyright © 2020 Apple Inc. All rights reserved.
+//
+
+#ifndef MPSGraphTopKOps_h
+#define MPSGraphTopKOps_h
+
+#import <MetalPerformanceShadersGraph/MPSGraph.h>
+
+NS_ASSUME_NONNULL_BEGIN
+
+MPS_CLASS_AVAILABLE_STARTING(macos(12.0), ios(15.0), tvos(15.0))
+@interface MPSGraph(MPSGraphTopKOps)
+
+/*!
+ * @abstract Create TopK op and return the value and indices tensors
+ * @discussion Finds the k largest values along the minor dimension of the input. The source must have
+ * at least k elements along its minor dimension.
+ * The first element of the result array corresponds to the top values, and the second
+ * array corresponds to the indices of the top values.
+ * To perform a vertical TopK a transpose can be inserted at the minor dimension of the
+ * incoming tensor.
+ *
+ * @param source Tensor containing source data
+ * @param k The number of largest values to return
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor array of size 2
+ */
+-(NSArray<MPSGraphTensor *> *) topKWithSourceTensor:(MPSGraphTensor *) source
+ k:(NSUInteger) k
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( topK(_:k:name:) );
+
+/*!
+ * @abstract Create TopK op and return the result tensor
+ * @discussion Finds the k largest values along the minor dimension of the input. The source must have
+ * at least k elements along its minor dimension.
+ * The first element of the result array corresponds to the top values, and the second
+ * array corresponds to the indices of the top values.
+ * To perform a vertical TopK a transpose can be inserted at the minor dimension of the
+ * incoming tensor.
+ *
+ * @param source Tensor containing source data
+ * @param kTensor Tensor of the number of largest values to return
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor array of size 2
+ */
+-(NSArray<MPSGraphTensor *> *) topKWithSourceTensor:(MPSGraphTensor *) source
+ kTensor:(MPSGraphTensor *) kTensor
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( topK(_:kTensor:name:) );
+
+@end
+
+@interface MPSGraph(MPSGraphTopKGradientOps)
+
+/*!
+ * @abstract Create TopKGradient op and return the result tensor
+ * @discussion Finds the K largest values along the minor dimension of the input. The input must have
+ * at least K elements along its minor dimension.
+ * To perform a vertical TopK a transpose can be inserted at the minor dimension of the
+ * incoming tensor.
+ *
+ * @param gradient Tensor containing the incoming gradient
+ * @param source Tensor containing source data
+ * @param k The number of largest values to return
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) topKWithGradientTensor:(MPSGraphTensor *) gradient
+ source:(MPSGraphTensor *) source
+ k:(NSUInteger) k
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( topKGradient(_:input:k:name:) );
+
+/*!
+ * @abstract Create TopKGradient op and return the result tensor
+ * @discussion Finds the K largest values along the minor dimension of the input. The input must have
+ * at least K elements along its minor dimension.
+ * To perform a vertical TopK a transpose can be inserted at the minor dimension of the
+ * incoming tensor.
+ *
+ * @param gradient Tensor containing the incoming gradient
+ * @param source Tensor containing source data
+ * @param kTensor Tensor of the number of largest values to return
+ * @param name The name for the operation
+ *
+ * @return A valid MPSGraphTensor object
+ */
+-(MPSGraphTensor *) topKWithGradientTensor:(MPSGraphTensor *) gradient
+ source:(MPSGraphTensor *) source
+ kTensor:(MPSGraphTensor *) kTensor
+ name:(NSString * _Nullable) name
+MPS_SWIFT_NAME( topKGradient(_:input:kTensor:name:) );
+
+@end
+
+NS_ASSUME_NONNULL_END
+
+#endif /* MPSGraphTopKOps_h */
diff -ruN /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MetalPerformanceShadersGraph.h /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MetalPerformanceShadersGraph.h
--- /Applications/Xcode_13.0.0-beta4.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MetalPerformanceShadersGraph.h 2021-07-18 18:30:44.000000000 -0400
+++ /Applications/Xcode_13.0.0-beta5.app/Contents/Developer/Platforms/AppleTVOS.platform/Developer/SDKs/AppleTVOS.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MetalPerformanceShadersGraph.h 2021-08-01 07:52:38.000000000 -0400
@@ -31,3 +31,4 @@
#import <MetalPerformanceShadersGraph/MPSGraphScatterNDOps.h>
#import <MetalPerformanceShadersGraph/MPSGraphStencilOps.h>
#import <MetalPerformanceShadersGraph/MPSGraphTensorShapeOps.h>
+#import <MetalPerformanceShadersGraph/MPSGraphTopKOps.h>
- README
- xcode13.0 Binding Status
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