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Results 31 - 40 of 42 for 1x2x2x3xi32 (0.18 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op.mlir
%1 = "tf.PartitionedCall"(%arg0, %cst, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_conv2d_with_bias_and_relu6_fn_1} : (tensor<1x2x2x3xf32>, tensor<2x2x3x2xf32>, tensor<2xf32>) -> tensor<*xf32> loc(callsit...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 37.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir
// CHECK: %[[pad:.*]] = "tf.PadV2"(%[[quant]] // CHECK: %[[xlaconv:.*]] = "tf.XlaConvV2"(%[[pad]] // CHECK: %[[sub:.*]] = "tf.Sub"(%[[xlaconv]] // CHECK: %[[cast:.*]] = "tf.Cast"(%[[sub]]) <{Truncate = false}> : (tensor<1x3x2x2xi32>) -> tensor<1x3x2x2xf32> // CHECK: %[[dequant1:.*]] = "tf.Mul"(%[[cast]] // CHECK: %[[relu:.*]] = "tf.Relu"(%[[dequant1]] // CHECK: %[[clamped:.*]] = "tf.Minimum"(%[[relu]] // CHECK: %[[rescale1:.*]] = "tf.Mul"(%[[cast]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%7 = "tf.FloorDiv"(%arg1, %5) {device = ""} : (tensor<1x1x2x1xi32>, tensor<i32>) -> tensor<1x1x2x1xi32> %8 = "tf.FloorMod"(%7, %4) {device = ""} : (tensor<1x1x2x1xi32>, tensor<i32>) -> tensor<1x1x2x1xi32> %9 = "tf.FloorDiv"(%arg1, %4) {device = ""} : (tensor<1x1x2x1xi32>, tensor<i32>) -> tensor<1x1x2x1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// CHECK-LABEL: testSpaceToDepth func.func @testSpaceToDepthF32(%arg0: tensor<1x2x2x1xf32>) -> tensor<1x1x1x4xf32> { // CHECK: %[[ARG:.*]]: tensor<1x2x2x1xf32> // CHECK: "tfl.space_to_depth"(%[[ARG]]) <{block_size = 2 : i32}> : (tensor<1x2x2x1xf32>) -> tensor<1x1x1x4xf32> %0 = "tfl.space_to_depth"(%arg0) {block_size = 2: i32} : (tensor<1x2x2x1xf32>) -> tensor<1x1x1x4xf32> func.return %0 : tensor<1x1x1x4xf32> } // -----
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/tf2xla/tests/legalize-tf-quant.mlir
rhs_quantization_max_val = 127 : i64 } : (tensor<1x2x2x3xf32>, tensor<2x3x3x2x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<1x2x1x2xf32> func.return %0 : tensor<1x2x1x2xf32> } // ----- // CHECK-LABEL: func @uniform_quantized_convolution_hybrid_explicit func.func @uniform_quantized_convolution_hybrid_explicit(%input: tensor<1x2x2x3xf32>) -> tensor<1x3x3x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/decompose.mlir
func.func @attribute_cast(%arg0: tensor<1x4x4x1xf32>) -> tensor<1x2x2x1xf32> { %0 = "tfr.cast"(%arg0) : (tensor<1x4x4x1xf32>) -> !tfr.tensor %stride_i32 = arith.constant 2 : i32 %1 = tfr.call @tf__my_max_pool(%0, %stride_i32, %stride_i32) : (!tfr.tensor, i32, i32) -> !tfr.tensor %2 = "tfr.cast"(%1) : (!tfr.tensor) -> tensor<1x2x2x1xf32> func.return %2 : tensor<1x2x2x1xf32> // CHECK: tf__max_pool }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 16.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir
// CHECK: stablehlo.maximum // CHECK: (tensor<1x5x5x4xf32>, tensor<f32>) -> tensor<1x2x2x4xf32> // CHECK: %[[TRANSPOSE_1:.+]] = stablehlo.transpose %[[REDUCE_WINDOW_MAX]], dims = [0, 3, 1, 2] : (tensor<1x2x2x4xf32>) -> tensor<1x4x2x2xf32> // CHECK: return %[[TRANSPOSE_1]] // ----- // Tests that a `maximum(add(convolution(%activation, %weight), %bias), %zero)`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 12.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
// CHECK{LITERAL}: %cst_1 = arith.constant dense<[[[[1.000000e+00], [2.000000e+00]], [[2.000000e+00], [4.000000e+00]]]]> : tensor<1x2x2x1xf32> // CHECK: %3 = tfl.mul %2, %cst_1 {fused_activation_function = "NONE"} : tensor<1x2x2x1xf32> // CHECK: %cst_2 = arith.constant dense<[0, 3, 1, 2]> : tensor<4xi32>
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/tests/prepare-quantize.mlir
func.return %1 : tensor<1x2x2x5xf32> // CHECK: %0 = "tfl.dequantize"(%arg0) // CHECK: %1 = "tfl.strided_slice"(%0, %arg1, %arg2, %arg3) // CHECK: %2 = "tfl.quantize"(%1) <{qtype = tensor<1x2x2x5x!quant.uniform<u8:f32, 1.000000e-01>>}> {volatile} // CHECK: %3 = "tfl.dequantize"(%2) // CHECK: return %3 : tensor<1x2x2x5xf32> } // CHECK-LABEL: QuantizePad
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK: return %[[ADD]] : tensor<14xf32> } func.func @scatter_nd_updates_bool(%arg0: tensor<1x24xi1>, %arg1: tensor<1x2x2xi32>, %arg2: tensor<1x2xi1>) -> tensor<1x24xi1> { %0 = "tf.TensorScatterUpdate"(%arg0, %arg1, %arg2) : (tensor<1x24xi1>, tensor<1x2x2xi32>, tensor<1x2xi1>) -> tensor<1x24xi1> func.return %0 : tensor<1x24xi1> // CHECK-LABEL: scatter_nd_updates_bool(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0)