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Results 1 - 10 of 30 for lhs_dilation (0.36 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions_fusion.td
(NamedAttributeList (NamedAttr<"window_strides"> (DefaultOrNullAttr $window_strides)), (NamedAttr<"padding"> (DefaultOrNullAttr $padding)), (NamedAttr<"lhs_dilation"> (DefaultOrNullAttr $lhs_dilation)), (NamedAttr<"rhs_dilation"> (DefaultOrNullAttr $rhs_dilation)), (NamedAttr<"window_reversal"> (DefaultOrNullAttr $window_reversal)), (NamedAttr<"dimension_numbers"> $dimension_numbers),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 04 07:19:09 UTC 2024 - 23.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions_simple.td
(NamedAttr<"window_strides"> (DefaultOrNullAttr $window_strides)), (NamedAttr<"padding"> (DefaultOrNullAttr $padding)), (NamedAttr<"lhs_dilation"> (DefaultOrNullAttr $lhs_dilation)), (NamedAttr<"rhs_dilation"> (DefaultOrNullAttr $rhs_dilation)), (NamedAttr<"window_reversal"> (DefaultOrNullAttr $window_reversal)), (NamedAttr<"dimension_numbers"> $dimension_numbers),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:21:42 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized_drq.mlir
Tlhs = "tfdtype$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, rhs_quantization_axis = -1, rhs_quantization_min_val = -128,
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/jit/xla_ops_on_regular_devices.cc
.HostMemory("padding") \ .HostMemory("lhs_dilation") \ .HostMemory("rhs_dilation") \ .HostMemory("feature_group_count") \ .Device(DEVICE), \
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/tensorflow/tests/duplicate_shape_determining_constants.mlir
%1 = "tf.AddV2"(%feature_group_count, %feature_group_count) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32> %2 = "tf.AddV2"(%lhs_dilation, %lhs_dilation) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> %3 = "tf.AddV2"(%rhs_dilation, %rhs_dilation) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> %4 = "tf.AddV2"(%padding, %padding) {device = ""} : (tensor<3x2xi32>, tensor<3x2xi32>) -> tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 07:44:46 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/nchw_convolution_to_nhwc.cc
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/tensorflow/tests/quantize_composite_functions_drq.mlir
// CHECK-SAME: dimension_numbers = "\10\03\1A\02\01\02 \02(\032\02\00\01@\03J\02\01\02" // CHECK-SAME: explicit_padding = [] // CHECK-SAME: feature_group_count = 1 : i64 // CHECK-SAME: lhs_dilation = [1, 1] // CHECK-SAME: padding = "VALID" // CHECK-SAME: rhs_dilation = [2, 2] // CHECK-SAME: rhs_quantization_axis = -1 : i64 // CHECK-SAME: rhs_quantization_max_val = 127 : i64 // CHECK-SAME: rhs_quantization_min_val = -128 : i64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%feature_group_count = "tf.Const"() {value = dense<-1> : tensor<i32>} : () -> tensor<i32> %rhs_dilation = "tf.Const"() {value = dense<1> : tensor<3xi32>} : () -> tensor<3xi32> %lhs_dilation = "tf.Const"() {value = dense<[4, 1, 1]> : tensor<3xi32>} : () -> tensor<3xi32> %padding = "tf.Const"() {value = dense<0> : tensor<3x2xi32>} : () -> tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_operator.cc
"lhs_dilation", BuildVhloTensorV1Attr(shape, data, builder))); } if (!(op->rhs_dilation.empty())) { std::vector<int64_t> shape; shape.push_back(static_cast<int64_t>(op->rhs_dilation.size())); attributes.emplace_back(builder.getNamedAttr( "rhs_dilation", BuildVhloTensorV1Attr(shape, op->rhs_dilation, builder))); } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 38K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
} Value padding, window_strides, lhs_dilation, rhs_dilation, feature_group_count; PrepareXlaConvParams(builder, loc, strides, dilations, feature_group_cnt, /*window_strides=*/window_strides, /*lhs_dilation=*/lhs_dilation, /*rhs_dilation=*/rhs_dilation, /*feature_group_count=*/feature_group_count,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0)