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Results 11 - 20 of 42 for depthwise_conv_2d (0.26 sec)
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tensorflow/compiler/mlir/lite/tests/quantize.mlir
%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x3x3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
} // CHECK-LABEL: fusedDepthwiseConv2dRelu6 func.func @fusedDepthwiseConv2dRelu6(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>) -> tensor<256x30x30x16xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// CHECK-LABEL: depthwiseConv2D // CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<12xf32> // CHECK-DAG: %[[CONSTANT0:.*]] = arith.constant dense<[1, 3, 3, 12]> : tensor<4xi32> // CHECK: %0 = "tf.Reshape"(%arg1, %[[CONSTANT0]]) : (tensor<3x3x3x4xf32>, tensor<4xi32>) -> tensor<1x3x3x12xf32>
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/lite/tests/prepare-quantize.mlir
%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x3x3x3xf32>
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/lite/tests/quantize-numeric-verify.mlir
%4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x3x3x3xf32>
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/lite/schema/schema_v3b.fbs
// set of acceptable options. // LINT.IfChange enum BuiltinOperator : int32 { ADD = 0, AVERAGE_POOL_2D = 1, CONCATENATION = 2, CONV_2D = 3, DEPTHWISE_CONV_2D = 4, DEPTH_TO_SPACE = 5, DEQUANTIZE = 6, EMBEDDING_LOOKUP = 7, FLOOR = 8, FULLY_CONNECTED = 9, HASHTABLE_LOOKUP = 10, L2_NORMALIZATION = 11, L2_POOL_2D = 12,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
// set of acceptable options. // LINT.IfChange enum BuiltinOperator : int32 { ADD = 0, AVERAGE_POOL_2D = 1, CONCATENATION = 2, CONV_2D = 3, DEPTHWISE_CONV_2D = 4, DEPTH_TO_SPACE = 5, DEQUANTIZE = 6, EMBEDDING_LOOKUP = 7, FLOOR = 8, FULLY_CONNECTED = 9, HASHTABLE_LOOKUP = 10, L2_NORMALIZATION = 11, L2_POOL_2D = 12,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
Type result_type, Value input, Value filter, Value bias) const { // Compared to tfl.conv_2d, tfl.depthwise_conv_2d has an additional // 'depth_multiplier' attribute. However, tf.DepthwiseConv2dNative does not // have a corresponding 'depth_multiplier' attribute; the multiplier is the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
for (int k = 0; k < filter_shape[2]; ++k) { for (int l = 0; l < filter_shape[3]; ++l) { // [o, 0, 1, i] for `tfl.conv_2d` case`, // [i, 0, 1, o] for `tfl.depthwise_conv_2d` case. int old_idx = get_array_idx(filter_shape, i, j, k, l); int new_idx = is_depthwise ? get_array_idx(new_filter_shape, k, i, j, l)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0)