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tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
return %2 : tensor<*xf32> } // CHECK-LABEL: gelu_aten // CHECK: %0 = "tfl.gelu"(%arg0) <{approximate = false}> : (tensor<5x10xf32>) -> tensor<5x10xf32> func.func private @gelu_decomp_2(%arg0: tensor<5x10xf32>) -> tensor<5x10xf32> func.func @gelu_aten_approximate(%arg0: tensor<5x10xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/gpu_hardware.cc
// tfl.Abs / tfl.Average_pool_2d / tfl.Cos / tfl.div / tfl.exp / tfl.hardswish / // tfl.log / tfl.logistic / tfl.max_pool_2d / tfl.mirror_pad / tfl.maximum / // tfl.custom / tfl.mean / tfl.minimum / tfl.pad / tfl.pow / tfl.prelu / // tfl.relu / tfl.relu6 / tfl.rsqrt / tfl.sin / tfl.slice / tfl.softmax / // tfl.space_to_depth / tfl.sqrt / tfl.square / tfl.squared_difference / // tfl.strided_slice / tfl.tanh / tfl.transpose / tfl.transpose_conv
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 7.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir
%14 = "tfl.relu"(%10#1) : (tensor<4x2xf32>) -> tensor<4x2xf32> %15 = "tfl.logistic"(%10#0) : (tensor<4x2xf32>) -> tensor<4x2xf32> %16 = tfl.mul %15, %14 {fused_activation_function = "NONE"} : tensor<4x2xf32> %17 = tfl.add %13, %16 {fused_activation_function = "NONE"} : tensor<4x2xf32> %18 = "tfl.relu"(%17) : (tensor<4x2xf32>) -> tensor<4x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_patterns.td
(MHLO_ConstantOp:$one (GetScalarOfType<1> $features)), (BinBroadcastDimensions $one, $features))))>; //===----------------------------------------------------------------------===// // Relu op patterns. //===----------------------------------------------------------------------===// // TODO(hinsu): Make these patterns to TF to TF lowering. Relu6 lowering will
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 34.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/merge_fusion_with_dequantize.cc
func_op.eraseResult(0); func_op.insertResult(0, new_call_op.getResult(0).getType(), /*resultAttrs=*/nullptr); // Modify the quantized fused function to do dequantize+relu(6). rewriter.setInsertionPoint(req_op); Value new_result = rewriter.create<mlir::stablehlo::UniformDequantizeOp>( req_op.getLoc(), func_op.getResultTypes()[0], req_op.getOperand());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir
%3 = "tf.BiasAdd"(%2, %cst_0) {data_format = "NHWC", device = ""} : (tensor<1x3x2x2xf32>, tensor<2xf32>) -> tensor<1x3x2x2xf32> %4 = "tf.Relu"(%3) {device = ""} : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2xf32> %5 = "quantfork.qcast"(%4) : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2x!quant.uniform<i8:f32, 0.0027450981093387976:-19>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// CHECK: "tfl.gelu"(%arg0) %0 = "tfl.gelu"(%arg0) {approximate = false}: (tensor<1x2x3x4x5xf32>) -> tensor<1x2x3x4x5xf32> func.return %0 : tensor<1x2x3x4x5xf32> } // ----- // test invalid GELU input func.func @testGeluWithWrongInputType(%arg0: tensor<?xf32>) -> tensor<?xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/tf_to_corert_pipeline.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let hasFolder = 1; } def TFL_ReluOp: TFL_Op<"relu", [ PredOpTrait<"x and y must have same element type", TFL_TCresVTEtIsSameAsOp<0, 0>>, Pure, QuantizableResult, SameOperandsAndResultShape]> { let summary = "Relu operator"; let description = [{ Element-wise Relu operator x -> max(0, x) }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%broad2_s = "quantfork.stats"(%broad2) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<?x26x26x26x16xf32>) -> tensor<?x26x26x26x16xf32> %add = "tfl.add"(%broad1_s, %broad2_s) {fused_activation_function = "RELU"} : (tensor<?x26x26x26x16xf32>, tensor<?x26x26x26x16xf32>) -> tensor<?x26x26x26x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0)