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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
} : (tensor<2x2x!tf_type.qint8>, tensor<2xf32>, tensor<2xi32>, tensor<2xf32>, tensor<2xi32>) -> tensor<2x2x!tf_type.qint8> %2 = "tf.UniformDequantize"(%1, %scales_1, %zps_1) { quantization_axis = 0 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64 } : (tensor<2x2x!tf_type.qint8>, tensor<2xf32>, tensor<2xi32>) -> tensor<2x2xf32> func.return %2 : tensor<2x2xf32> }
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/lite/stablehlo/odml_converter/tests/shlo_simplify.mlir
%1 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32> %2 = stablehlo.divide %0, %1 : tensor<2xf32> return %2 : tensor<2xf32> } // CHECK-LABEL: foldDivLHSSplat // CHECK: stablehlo.constant dense<[5.000000e-01, 0.333333343]> : tensor<2xf32> // ----- func.func @foldDivRHSSplat() -> tensor<2xf32> { %0 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32> %1 = stablehlo.constant dense<2.0> : tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir
layerStats = dense<[-1.28e-5, 1.27e-5]> : tensor<2xf32> } : (tensor<1x2xf32>) -> tensor<1x2xf32> %w = arith.constant dense<[[0.0, 1.0], [1.0, 2.0]]> : tensor<2x2xf32> %w_q = "quantfork.stats"(%w) { layerStats = dense<[0.0, 2.0]> : tensor<2xf32> } : (tensor<2x2xf32>) -> tensor<2x2xf32> %b = arith.constant dense<[0.0, 2.1473647e3]> : tensor<2xf32> %fc = "tfl.fully_connected"(%0, %w_q, %b) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: return %[[VAL_3]] : tensor<2xf32> // CHECK: } func.func @select_float(%arg0: tensor<2xi1>, %arg1: tensor<2xf32>, %arg2: tensor<2xf32>) -> tensor<2xf32> { %0 = "mhlo.select"(%arg0, %arg1, %arg2) : (tensor<2xi1>, tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32> func.return %0 : tensor<2xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir
%1:2 = "tfl.split"(%cst, %0) {num_splits = 2 : i32} : (tensor<i32>, tensor<4xf32>) -> (tensor<2xf32>, tensor<2xf32>) %2 = "tfl.quantize"(%1#0) {qtype = tensor<2x!quant.uniform<u8:f32, 1.0>>} : (tensor<2xf32>) -> tensor<2x!quant.uniform<u8:f32, 1.0>> %3 = "tfl.quantize"(%1#1) {qtype = tensor<2x!quant.uniform<u8:f32, 1.0>>} : (tensor<2xf32>) -> tensor<2x!quant.uniform<u8:f32, 1.0>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir
%biasadd = "tf.BiasAdd"(%conv, %dq_bias) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32> %res = "tf.Relu6"(%biasadd) : (tensor<*xf32>) -> tensor<*xf32> %q_res = "quantfork.qcast"(%res) : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 0.023529411764705882:-128>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// CHECK: %[[MUL1:.*]] = "tf.Mul"(%arg1, %[[RSQRT]]) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32> // CHECK: %[[MUL2:.*]] = "tf.Mul"(%arg0, %[[MUL1]]) : (tensor<1x1x6x2xf32>, tensor<2xf32>) -> tensor<1x1x6x2xf32> // CHECK: %[[MUL3:.*]] = "tf.Mul"(%[[MEAN]], %[[MUL1]]) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32> // CHECK: %[[SUB:.*]] = "tf.Sub"(%arg2, %[[MUL3]]) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir
// ----- // CHECK-LABEL: standalone_avgpool_test func.func @standalone_avgpool_test(%arg0: tensor<*xf32>) -> tensor<*xf32> { %cst = arith.constant dense<[-1, 144]> : tensor<2xi32> %0 = "quantfork.qcast"(%arg0) : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>> %1 = "quantfork.dcast"(%0) : (tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
tensor<20xf32>, tensor<20xf32>, tensor<20xf32>, tensor<20xf32>, tensor<20xf32>, tensor<20xf32>, tensor<20xf32>, tensor<20x20xf32>, none, tensor<1x20xf32>, tensor<1x20xf32>, none, none, none, none) -> tensor<1x28x20xf32> %1 = "quantfork.stats"(%0) {layerStats = dense<[-1.0, 2.0]> : tensor<2xf32>} : (tensor<1x28x20xf32>) -> tensor<1x28x20xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize_jax_random.mlir
// CHECK: } func.func @tfl_wrapped_jax_random_uniform(%arg0: tensor<2xui32>) -> tuple<tensor<1x2xf32>> { // This is a fake jax random uniform body. %0 = stablehlo.constant dense<0.0> : tensor<2xf32> %1 = "stablehlo.reshape"(%0) : (tensor<2xf32>) -> tensor<1x2xf32> %2 = "stablehlo.tuple"(%1) : (tensor<1x2xf32>) -> tuple<tensor<1x2xf32>> func.return %2 : tuple<tensor<1x2xf32>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2K bytes - Viewed (0)