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Results 1 - 6 of 6 for window_strides (0.32 sec)
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tensorflow/compiler/jit/xla_ops_on_regular_devices.cc
namespace tensorflow { #define REGISTER_XLA_OPS_ON_DEVICE(DEVICE) \ REGISTER_KERNEL_BUILDER(Name("XlaConv") \ .HostMemory("window_strides") \ .HostMemory("padding") \ .HostMemory("lhs_dilation") \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 19 19:55:14 UTC 2022 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions_simple.td
(StableHLO_ConvolutionOp:$res $lhs, $rhs, $window_strides, $padding, $lhs_dilation, $rhs_dilation, $window_reversal, $dimension_numbers, $feature_group_count, $batch_group_count, $precision_config), (LiftAsTFXlaCallModule<"composite_conv_fn"> (ArgumentList $lhs, $rhs), (ResultList $res), (NamedAttributeList (NamedAttr<"window_strides"> (DefaultOrNullAttr $window_strides)),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:21:42 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize_layout.mlir
// CHECK: %[[REDUCE:.*]] = "stablehlo.reduce_window"(%[[INPUT]], %[[PAD_VAL]]) // CHECK: <{window_dimensions = array<i64: 1, 3, 3, 1>, // CHECK: window_strides = array<i64: 1, 2, 2, 1>}> ({ // CHECK: ^bb0(%[[ARG0:.*]]: tensor<f32>, %[[ARG1:.*]]: tensor<f32>): // CHECK: %[[MAX:.*]] = stablehlo.maximum %[[ARG0]], %[[ARG1]] : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 21:59:06 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized_drq.mlir
%weight_scale, %weight_zp) { Tlhs = "tfdtype$DT_FLOAT", Trhs = "tfdtype$DT_QINT8", Tout = "tfdtype$DT_FLOAT", window_strides = [1, 1], padding = "", explicit_padding = [], lhs_dilation = [], rhs_dilation = [], dimension_numbers = "", batch_group_count = 1, feature_group_count = 1,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 01 12:06:54 UTC 2022 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/nchw_convolution_to_nhwc.cc
mlir::cast<TensorType>(op->getResult(0).getType()); const TensorType new_conv_output_tensor_type = GetTransposedTensorType(output_tensor_type, kNchwToNhwcPermutation); // window_strides, padding, lhs_dilation, rhs_dilation, window_reversal are // reused without modification because the ordering of spatial dimensions // is not modified (i.e. before: [b, f, 0, 1], after: [b, 0, 1, f] => the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
%7 = stablehlo.maximum %arg1, %arg2 : tensor<f32> stablehlo.return %7 : tensor<f32> }) {padding = dense<[[0, 0], [0, 1], [0, 1], [0, 0]]> : tensor<4x2xi64>, window_dimensions = array<i64: 1, 3, 3, 1>, window_strides = array<i64: 1, 2, 2, 1>} : (tensor<?x112x112x64xf32>, tensor<f32>) -> tensor<?x56x56x64xf32> return %6 : tensor<?x56x56x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0)